Workspace¶

The Workspace class is the unified entry point for all Mixpanel data operations.

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Overview¶

Workspace orchestrates internal services and provides direct App API access:

DiscoveryService — Schema exploration (events, properties, funnels, cohorts)
LiveQueryService — Real-time analytics queries (legacy) and Insights engine queries
Streaming — Stream events and profiles directly from Mixpanel
Entity CRUD — Create, read, update, delete dashboards, reports, and cohorts via Mixpanel App API (workspace-scoped)
Feature Management — Create, read, update, delete feature flags and experiments via Mixpanel App API (project-scoped)
Operational Tooling — Manage alerts, annotations, and webhooks via Mixpanel App API (workspace-scoped)
Data Governance — Manage Lexicon definitions, drop filters, custom properties, custom events, lookup tables, schema registry, schema enforcement, data auditing, volume anomalies, and event deletion requests via Mixpanel App API (workspace-scoped)

Key Features¶

Entity CRUD¶

Manage dashboards, reports (bookmarks), and cohorts programmatically via the Mixpanel App API (workspace-scoped):

import mixpanel_data as mp

ws = mp.Workspace()

# Dashboards
dashboards = ws.list_dashboards()
new_dash = ws.create_dashboard(mp.CreateDashboardParams(title="Q1 Metrics"))
ws.update_dashboard(new_dash.id, mp.UpdateDashboardParams(title="Q1 Metrics v2"))
ws.favorite_dashboard(new_dash.id)

# Reports (Bookmarks)
reports = ws.list_bookmarks_v2()
report = ws.create_bookmark(mp.CreateBookmarkParams(
    name="Daily Signups",
    bookmark_type="insights"
))

# Cohorts
cohorts = ws.list_cohorts_full()
cohort = ws.create_cohort(mp.CreateCohortParams(name="Power Users"))
ws.update_cohort(cohort.id, mp.UpdateCohortParams(name="Super Users"))

Dashboard, report, and cohort operations require a workspace ID, set via MP_WORKSPACE_ID environment variable, --workspace / -w CLI flag, Workspace(workspace=N), or ws.use(workspace=N). List available workspaces with mp workspace list or ws.workspaces().

Feature Flags & Experiments¶

Manage feature flags and experiments programmatically. Unlike dashboards/reports/cohorts, these are project-scoped and do not require a workspace ID.

import mixpanel_data as mp

ws = mp.Workspace()

# Feature Flags
flags = ws.list_feature_flags()
flag = ws.create_feature_flag(mp.CreateFeatureFlagParams(
    name="Dark Mode", key="dark_mode"
))
ws.update_feature_flag(flag.id, mp.UpdateFeatureFlagParams(
    name="Dark Mode", key="dark_mode",
    status=mp.FeatureFlagStatus.ENABLED,
    ruleset=flag.ruleset,
))

# Experiments (full lifecycle)
exp = ws.create_experiment(mp.CreateExperimentParams(name="Checkout Flow Test"))
launched = ws.launch_experiment(exp.id)
concluded = ws.conclude_experiment(exp.id)
decided = ws.decide_experiment(exp.id, mp.ExperimentDecideParams(success=True))

Feature flag update uses PUT semantics (all required fields must be provided). Experiment update uses PATCH semantics (only changed fields needed). See the Entity Management guide for complete coverage.

Data Governance¶

Manage Lexicon definitions, drop filters, custom properties, custom events, and lookup tables programmatically. All operations are workspace-scoped.

import mixpanel_data as mp

ws = mp.Workspace()

# Lexicon — Event and property definitions
defs = ws.get_event_definitions(names=["Signup", "Login"])
ws.update_event_definition("Signup", mp.UpdateEventDefinitionParams(verified=True))
tags = ws.list_lexicon_tags()

# Drop filters
filters = ws.list_drop_filters()
ws.create_drop_filter(mp.CreateDropFilterParams(
    event_name="Debug Event", filters={"property": "env", "value": "test"},
))

# Custom properties
props = ws.list_custom_properties()
prop = ws.get_custom_property("abc123")

# Lookup tables
tables = ws.list_lookup_tables()
table = ws.upload_lookup_table(mp.UploadLookupTableParams(
    name="Countries", file_path="/path/to/countries.csv",
))

# Custom events
events = ws.list_custom_events()

See the Data Governance guide for complete coverage.

workspaces() vs list_workspaces()

Both methods are exposed. workspaces() (recommended) returns list[WorkspaceRef] from the cached /me response — fast, typed, and consistent with events() / properties() / funnels() / cohorts(). list_workspaces() is a lower-level escape hatch that calls GET /api/app/projects/{pid}/workspaces/public directly and returns list[PublicWorkspace].

In-Session Switching¶

Workspace.use() swaps the active account, project, workspace, or target without rebuilding the underlying httpx.Client or per-account /me cache. It returns self for fluent chaining, so cross-project iteration is O(1) per swap.

import mixpanel_data as mp

ws = mp.Workspace()
ws.use(account="team")                              # implicitly clears workspace
ws.use(project="3018488")
ws.use(workspace=3448414)
ws.use(target="ecom")                               # apply all three at once

# Persist the new state
ws.use(project="3018488", persist=True)             # writes [active]

# Read the resolved state
print(ws.account.name, ws.project.id, ws.workspace.id if ws.workspace else None)
print(ws.session)                                   # full Session snapshot

See Auth → Workspace.use() for the resolution semantics and parallel-snapshot patterns.

Class Reference¶

mixpanel_data.Workspace ¶

Workspace(
    *,
    account: str | None = None,
    project: str | None = None,
    workspace: int | None = None,
    target: str | None = None,
    session: Session | None = None,
    _api_client: MixpanelAPIClient | None = None,
)

Unified entry point for Mixpanel data operations.

The Workspace class is a facade that orchestrates: - DiscoveryService for schema exploration - LiveQueryService for real-time analytics - App API client for CRUD and data governance operations

Examples:

Basic usage with credentials from config:

ws = Workspace()
events = ws.events()  # discover schema
result = ws.segmentation(event="login", from_date="2024-01-01", to_date="2024-01-31")
ws.close()

Stream events for external processing:

ws = Workspace()
for event in ws.stream_events(from_date="2024-01-01", to_date="2024-01-31"):
    process(event)
ws.close()

Create a new Workspace bound to a resolved :class:Session.

Resolution priority follows FR-017: env vars > kwargs > target > bridge > [active] > Account.default_project. Pass session= to bypass the resolver and use a pre-built :class:Session directly.

PARAMETER	DESCRIPTION
`account`	Named account from `~/.mp/config.toml`. TYPE: `str \| None` DEFAULT: `None`
`project`	Project ID override (digit string). TYPE: `str \| None` DEFAULT: `None`
`workspace`	Workspace ID override (positive int). TYPE: `int \| None` DEFAULT: `None`
`target`	Apply all three axes from `[targets.NAME]`. Mutually exclusive with `account`/`project`/`workspace`. TYPE: `str \| None` DEFAULT: `None`
`session`	Pre-built :class:`Session` (full resolver bypass). TYPE: `Session \| None` DEFAULT: `None`
`_api_client`	Injected :class:`MixpanelAPIClient` for testing. TYPE: `MixpanelAPIClient \| None` DEFAULT: `None`

RAISES	DESCRIPTION
`ValueError`	`target=` combined with any axis kwarg.
`ConfigError`	Account or project axis cannot be resolved.
`OAuthError`	Auth header construction fails.

Source code in src/mixpanel_data/workspace.py

def __init__(
    self,
    *,
    account: str | None = None,
    project: str | None = None,
    workspace: int | None = None,
    target: str | None = None,
    session: _Session | None = None,
    _api_client: MixpanelAPIClient | None = None,
) -> None:
    """Create a new Workspace bound to a resolved :class:`Session`.

    Resolution priority follows FR-017: env vars > kwargs > target >
    bridge > ``[active]`` > ``Account.default_project``. Pass
    ``session=`` to bypass the resolver and use a pre-built
    :class:`Session` directly.

    Args:
        account: Named account from ``~/.mp/config.toml``.
        project: Project ID override (digit string).
        workspace: Workspace ID override (positive int).
        target: Apply all three axes from ``[targets.NAME]``. Mutually
            exclusive with ``account``/``project``/``workspace``.
        session: Pre-built :class:`Session` (full resolver bypass).
        _api_client: Injected :class:`MixpanelAPIClient` for testing.

    Raises:
        ValueError: ``target=`` combined with any axis kwarg.
        ConfigError: Account or project axis cannot be resolved.
        OAuthError: Auth header construction fails.
    """
    if target is not None and (
        account is not None or project is not None or workspace is not None
    ):
        raise ValueError(
            "`target=` is mutually exclusive with "
            "`account=`/`project=`/`workspace=`."
        )

    self._discovery: DiscoveryService | None = None
    self._live_query: LiveQueryService | None = None
    self._me_service: MeService | None = None

    if session is not None:
        sess = session
    else:
        from mixpanel_data._internal.auth.bridge import load_bridge

        br = load_bridge()
        # If the bridge has oauth_browser tokens embedded, materialize them
        # to the per-account on-disk path so the OnDiskTokenResolver can
        # serve them downstream. This is the Cowork credential-courier
        # contract: the bridge is the source of truth at startup.
        if (
            br is not None
            and br.tokens is not None
            and br.account.type == "oauth_browser"
        ):
            from mixpanel_data._internal.auth.storage import (
                ensure_account_dir,
            )
            from mixpanel_data._internal.auth.token import token_payload_bytes
            from mixpanel_data._internal.io_utils import atomic_write_bytes

            tokens_path = ensure_account_dir(br.account.name) / "tokens.json"
            # Always overwrite — the bridge is the authoritative
            # source of truth at startup, so a refreshed payload from
            # the host must replace any stale on-disk cache here.
            # ``OAuthTokens.expires_at`` is always set (required, tz-aware
            # per Fix 25) — no fall-through to None which would trip the
            # OnDiskTokenResolver expiry check. Empty scopes from the
            # bridge get a ``"read"`` default so the cached file matches
            # what `mp account login` would have written.
            tokens_to_persist = br.tokens
            if not tokens_to_persist.scope:
                tokens_to_persist = tokens_to_persist.model_copy(
                    update={"scope": "read"}
                )
            # atomic_write_bytes creates the file with 0o600 via O_EXCL
            # before any data is written, eliminating the umask-derived
            # permission window left open by write_text + chmod.
            atomic_write_bytes(tokens_path, token_payload_bytes(tokens_to_persist))
        sess = _resolve_session(
            account=account,
            project=project,
            workspace=workspace,
            target=target,
            config=ConfigManager(),
            bridge=br,
        )
    self._session = sess
    self._account_name: str = sess.account.name
    self._initial_workspace_id = sess.workspace.id if sess.workspace else None
    if _api_client is not None:
        self._api_client: MixpanelAPIClient | None = _api_client
    else:
        self._api_client = MixpanelAPIClient(session=sess)

account `property` ¶

account: Account

Return the resolved :class:Account for the current session.

project `property` ¶

project: Project

Return the resolved :class:Project for the current session.

workspace `property` ¶

workspace: WorkspaceRef | None

Return the resolved :class:WorkspaceRef (or None for lazy).

session `property` ¶

session: Session

Return the bound :class:Session.

api `property` ¶

api: MixpanelAPIClient

Direct access to the Mixpanel API client.

Use this escape hatch for Mixpanel API operations not covered by the Workspace class. The client handles authentication automatically.

The client provides

request(method, url, **kwargs): Make authenticated requests to any Mixpanel API endpoint.
project_id: The configured project ID for constructing URLs.
region: The configured region ('us', 'eu', or 'in').

RETURNS	DESCRIPTION
`MixpanelAPIClient`	The underlying MixpanelAPIClient.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Example

Fetch event schema from the Lexicon Schemas API::

import mixpanel_data as mp
from urllib.parse import quote

ws = mp.Workspace()
client = ws.api

# Build the URL with proper encoding
event_name = quote("Added To Cart", safe="")
url = f"https://mixpanel.com/api/app/projects/{client.project_id}/schemas/event/{event_name}"

# Make the authenticated request
schema = client.request("GET", url)
print(schema)

close ¶

close() -> None

Close all resources (HTTP client).

This method is idempotent and safe to call multiple times.

Source code in src/mixpanel_data/workspace.py

def close(self) -> None:
    """Close all resources (HTTP client).

    This method is idempotent and safe to call multiple times.
    """
    # Close API client if we created one
    if self._api_client is not None:
        self._api_client.close()
        self._api_client = None

use ¶

use(
    *,
    account: str | None = None,
    project: str | None = None,
    workspace: int | None = None,
    target: str | None = None,
    persist: bool = False,
) -> Workspace

Swap one or more session axes in place; return self for chaining.

target= is mutually exclusive with account=/project=/ workspace=. The HTTP transport is preserved across all switches (per Research R5).

When account= is supplied, the project axis re-resolves through the FR-017 chain ending at the new account's default_project (env MP_PROJECT_ID > explicit project= > new account's default_project). If no source provides a project, the call raises :class:ConfigError per FR-033 — the prior session's project is NEVER carried forward across an account swap because cross-account project access is not guaranteed. The workspace axis is cleared on account swap (workspaces are project-scoped; the prior workspace doesn't apply to the new project) — explicit workspace= or MP_WORKSPACE_ID env override is honored.

PARAMETER	DESCRIPTION
`account`	Replacement account name. TYPE: `str \| None` DEFAULT: `None`
`project`	Replacement project ID. TYPE: `str \| None` DEFAULT: `None`
`workspace`	Replacement workspace ID. TYPE: `int \| None` DEFAULT: `None`
`target`	Apply this target's three axes atomically. TYPE: `str \| None` DEFAULT: `None`
`persist`	When `True`, also write the new state to `[active]`. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`Workspace`	`self` for fluent chaining.

RAISES	DESCRIPTION
`ValueError`	Mutually exclusive args, or referenced name missing.
`OAuthError`	New auth header construction fails (atomic on success).
`ConfigError`	`account=` swap cannot resolve a project axis.

Source code in src/mixpanel_data/workspace.py

def use(
    self,
    *,
    account: str | None = None,
    project: str | None = None,
    workspace: int | None = None,
    target: str | None = None,
    persist: bool = False,
) -> Workspace:
    """Swap one or more session axes in place; return ``self`` for chaining.

    ``target=`` is mutually exclusive with ``account=``/``project=``/
    ``workspace=``. The HTTP transport is preserved across all switches
    (per Research R5).

    When ``account=`` is supplied, the project axis re-resolves through
    the FR-017 chain ending at the new account's ``default_project``
    (env ``MP_PROJECT_ID`` > explicit ``project=`` > new account's
    ``default_project``). If no source provides a project, the call
    raises :class:`ConfigError` per FR-033 — the prior session's
    project is NEVER carried forward across an account swap because
    cross-account project access is not guaranteed. The workspace
    axis is cleared on account swap (workspaces are project-scoped;
    the prior workspace doesn't apply to the new project) — explicit
    ``workspace=`` or ``MP_WORKSPACE_ID`` env override is honored.

    Args:
        account: Replacement account name.
        project: Replacement project ID.
        workspace: Replacement workspace ID.
        target: Apply this target's three axes atomically.
        persist: When ``True``, also write the new state to ``[active]``.

    Returns:
        ``self`` for fluent chaining.

    Raises:
        ValueError: Mutually exclusive args, or referenced name missing.
        OAuthError: New auth header construction fails (atomic on success).
        ConfigError: ``account=`` swap cannot resolve a project axis.
    """
    if target is not None and (
        account is not None or project is not None or workspace is not None
    ):
        raise ValueError(
            "`target=` is mutually exclusive with `account=`/`project=`/`workspace=`."
        )

    cm = ConfigManager()
    client = self._require_api_client()
    new_account_obj: _AccountUnion | None = None
    new_project_obj: _Project | None = None
    new_workspace_obj: _WorkspaceRef | None = None
    if target is not None:
        # Route through the same resolver as Workspace() construction so
        # env > param > target > bridge > config ordering applies (FR-017).
        # Without this, mid-process env-var overrides would be honored at
        # construction but silently ignored on `ws.use(target=...)`.
        sess = _resolve_session(
            target=target,
            config=cm,
            bridge=_load_bridge(),
        )
        new_account_obj = sess.account
        new_project_obj = sess.project
        new_workspace_obj = sess.workspace
    elif account is not None:
        # Explicit account swap: the user told us which account to use,
        # so the env-vars-override-param rule (FR-017) on the account
        # axis doesn't apply here — load the requested account directly.
        # Project re-resolves through the FR-017 chain ending at the
        # NEW account's default_project (env > explicit > new account's
        # default); raises ConfigError if nothing resolves (per FR-033,
        # cross-account project access is not guaranteed).
        # Workspace is cleared (workspaces are project-scoped; the
        # prior workspace is meaningless under the new account/project)
        # — explicit `workspace=` overrides the clear, and env override
        # via MP_WORKSPACE_ID still applies for parity with FR-017.
        new_account_obj = cm.get_account(account)
        br = _load_bridge()
        project_id = _resolve_project_axis(
            explicit=project,
            target_project=None,
            bridge=br,
            account=new_account_obj,
        )
        if project_id is None:
            raise ConfigError(_format_no_project_error(new_account_obj))
        new_project_obj = _Project(id=project_id)
        # Account-swap intentionally clears workspace per FR-033 (workspaces
        # are project-scoped; the prior workspace doesn't apply to the new
        # project). Only an explicit ``workspace=`` kwarg or a validated
        # ``MP_WORKSPACE_ID`` env var can populate it. We bypass
        # ``resolve_workspace_axis`` because that consults ``[active].workspace``
        # — which is exactly the fallback we need to skip here.
        if workspace is not None:
            new_workspace_obj = _WorkspaceRef(id=workspace)
        else:
            env_ws = _env_workspace_id()
            new_workspace_obj = (
                _WorkspaceRef(id=env_ws) if env_ws is not None else None
            )
    else:
        new_project_obj = _Project(id=project) if project is not None else None
        new_workspace_obj = (
            _WorkspaceRef(id=workspace) if workspace is not None else None
        )
    client.use(
        account=new_account_obj,
        project=new_project_obj,
        workspace=new_workspace_obj,
    )
    self._session = client.session

    # Clear lazy services so subsequent reads of `project` / `account` /
    # `workspaces()` / `_me_svc` observe the new session rather than the
    # prior one.
    self._account_name = self._session.account.name
    self._initial_workspace_id = (
        self._session.workspace.id if self._session.workspace else None
    )
    self._discovery = None
    self._live_query = None
    self._me_service = None

    if persist:
        self._persist_active()
    return self

me ¶

me(*, force_refresh: bool = False) -> Any

Get /me response for current credentials (cached 24h).

Returns the authenticated user's profile including all accessible organizations, projects, and workspaces.

PARAMETER	DESCRIPTION
`force_refresh`	If True, bypass cache and call the API. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`Any`	MeResponse with user profile, projects, and workspaces.

RAISES	DESCRIPTION
`ConfigError`	If credentials lack /me access (401 or 403).
`QueryError`	If the API returns a non-403 error.

Example

ws = Workspace()
me = ws.me()
print(me.user_email)
for pid, proj in me.projects.items():
    print(f"  {pid}: {proj.name}")

Source code in src/mixpanel_data/workspace.py

def me(self, *, force_refresh: bool = False) -> Any:
    """Get /me response for current credentials (cached 24h).

    Returns the authenticated user's profile including all accessible
    organizations, projects, and workspaces.

    Args:
        force_refresh: If True, bypass cache and call the API.

    Returns:
        MeResponse with user profile, projects, and workspaces.

    Raises:
        ConfigError: If credentials lack /me access (401 or 403).
        QueryError: If the API returns a non-403 error.

    Example:
        ```python
        ws = Workspace()
        me = ws.me()
        print(me.user_email)
        for pid, proj in me.projects.items():
            print(f"  {pid}: {proj.name}")
        ```
    """
    return self._me_svc.fetch(force_refresh=force_refresh)

projects ¶

projects(*, refresh: bool = False) -> list[_Project]

List all accessible projects via the /me API (FR-035).

Returns projects from the cached /me response, sorted by name. Each entry is a v3 :class:Project (id + name + organization_id + timezone), built from the underlying MeProjectInfo payload — callers iterate for project in ws.projects(): ws.use(project=project.id) per the documented cross-project iteration pattern.

Replaces the deprecated discover_projects() (which returned list[tuple[str, MeProjectInfo]]) — for the raw /me shape with extra fields (has_workspaces, domain, type, ...), call self._me_svc.list_projects() directly from internal code.

PARAMETER	DESCRIPTION
`refresh`	When True, bypass the on-disk and in-memory `/me` caches and refetch from the API. Default False uses the 24h cache. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`list[Project]`	List of :class:`Project` records sorted by name.

RAISES	DESCRIPTION
`ConfigError`	If credentials lack /me access.

Example

ws = Workspace()
for project in ws.projects():
    ws.use(project=project.id)
    print(project.id, project.name, len(ws.events()))

Source code in src/mixpanel_data/workspace.py

def projects(self, *, refresh: bool = False) -> list[_Project]:
    """List all accessible projects via the /me API (FR-035).

    Returns projects from the cached /me response, sorted by name. Each
    entry is a v3 :class:`Project` (id + name + organization_id +
    timezone), built from the underlying ``MeProjectInfo`` payload —
    callers iterate ``for project in ws.projects(): ws.use(project=project.id)``
    per the documented cross-project iteration pattern.

    Replaces the deprecated ``discover_projects()`` (which returned
    ``list[tuple[str, MeProjectInfo]]``) — for the raw ``/me`` shape
    with extra fields (``has_workspaces``, ``domain``, ``type``, ...),
    call ``self._me_svc.list_projects()`` directly from internal code.

    Args:
        refresh: When True, bypass the on-disk and in-memory ``/me``
            caches and refetch from the API. Default False uses the
            24h cache.

    Returns:
        List of :class:`Project` records sorted by name.

    Raises:
        ConfigError: If credentials lack /me access.

    Example:
        ```python
        ws = Workspace()
        for project in ws.projects():
            ws.use(project=project.id)
            print(project.id, project.name, len(ws.events()))
        ```
    """
    if refresh:
        self._me_svc.fetch(force_refresh=True)
    return [
        _Project(
            id=pid,
            name=info.name,
            organization_id=info.organization_id,
            timezone=info.timezone,
        )
        for pid, info in self._me_svc.list_projects()
    ]

workspaces ¶

workspaces(
    *, project_id: str | None = None, refresh: bool = False
) -> list[_WorkspaceRef]

List workspaces for a project via the /me API (FR-036).

Returns workspaces from the cached /me response, sorted by name. Defaults to the current project if project_id is not provided.

Replaces the deprecated discover_workspaces() (which returned list[MeWorkspaceInfo]) — for the raw /me shape with extra fields (is_global, is_restricted, description, ...), call self._me_svc.list_workspaces(project_id=) directly from internal code.

PARAMETER	DESCRIPTION
`project_id`	Project ID to list workspaces for. Defaults to the current project. TYPE: `str \| None` DEFAULT: `None`
`refresh`	When True, bypass the on-disk and in-memory `/me` caches and refetch from the API. Default False uses the 24h cache. Mirrors :meth:`projects(refresh=)` (FR-047). TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`list[WorkspaceRef]`	List of :class:`WorkspaceRef` records sorted by name.

RAISES	DESCRIPTION
`ConfigError`	If credentials lack /me access.

Example

ws = Workspace()
for workspace in ws.workspaces():
    print(workspace.id, workspace.name, workspace.is_default)

Source code in src/mixpanel_data/workspace.py

def workspaces(
    self,
    *,
    project_id: str | None = None,
    refresh: bool = False,
) -> list[_WorkspaceRef]:
    """List workspaces for a project via the /me API (FR-036).

    Returns workspaces from the cached /me response, sorted by name.
    Defaults to the current project if ``project_id`` is not provided.

    Replaces the deprecated ``discover_workspaces()`` (which returned
    ``list[MeWorkspaceInfo]``) — for the raw ``/me`` shape with extra
    fields (``is_global``, ``is_restricted``, ``description``, ...),
    call ``self._me_svc.list_workspaces(project_id=)`` directly from
    internal code.

    Args:
        project_id: Project ID to list workspaces for. Defaults to
            the current project.
        refresh: When True, bypass the on-disk and in-memory ``/me``
            caches and refetch from the API. Default False uses the
            24h cache. Mirrors :meth:`projects(refresh=)` (FR-047).

    Returns:
        List of :class:`WorkspaceRef` records sorted by name.

    Raises:
        ConfigError: If credentials lack /me access.

    Example:
        ```python
        ws = Workspace()
        for workspace in ws.workspaces():
            print(workspace.id, workspace.name, workspace.is_default)
        ```
    """
    if refresh:
        self._me_svc.fetch(force_refresh=True)
    pid = project_id
    if pid is None:
        pid = self._session.project.id
    return [
        _WorkspaceRef(id=info.id, name=info.name, is_default=info.is_default)
        for info in self._me_svc.list_workspaces(project_id=pid)
    ]

list_workspaces ¶

list_workspaces() -> list[PublicWorkspace]

List all public workspaces for the current project.

Delegates to the API client's list_workspaces() method, which calls GET /api/app/projects/{pid}/workspaces/public.

RETURNS	DESCRIPTION
`list[PublicWorkspace]`	List of `PublicWorkspace` models for the project.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
workspaces = ws.list_workspaces()
for w in workspaces:
    print(f"{w.name} (id={w.id}, default={w.is_default})")

Source code in src/mixpanel_data/workspace.py

def list_workspaces(self) -> list[PublicWorkspace]:
    """List all public workspaces for the current project.

    Delegates to the API client's ``list_workspaces()`` method, which
    calls ``GET /api/app/projects/{pid}/workspaces/public``.

    Returns:
        List of ``PublicWorkspace`` models for the project.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        workspaces = ws.list_workspaces()
        for w in workspaces:
            print(f"{w.name} (id={w.id}, default={w.is_default})")
        ```
    """
    client = self._require_api_client()
    return client.list_workspaces()

resolve_workspace_id ¶

resolve_workspace_id() -> int

Resolve the workspace ID for scoped requests.

Resolution order: 1. Workspace ID already pinned on the resolved session (for example via Workspace(workspace=N), Workspace.use(workspace=N), MP_WORKSPACE_ID, saved targets, bridge pins, or persisted [active].workspace state) 2. Cached auto-discovered workspace ID 3. Auto-discover by listing workspaces and finding the default

RETURNS	DESCRIPTION
`int`	The resolved workspace ID.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`WorkspaceScopeError`	If no workspaces are found for the project.

Example

ws = Workspace()
ws_id = ws.resolve_workspace_id()
print(f"Using workspace {ws_id}")

Source code in src/mixpanel_data/workspace.py

def resolve_workspace_id(self) -> int:
    """Resolve the workspace ID for scoped requests.

    Resolution order:
    1. Workspace ID already pinned on the resolved session (for example
       via ``Workspace(workspace=N)``, ``Workspace.use(workspace=N)``,
       ``MP_WORKSPACE_ID``, saved targets, bridge pins, or persisted
       ``[active].workspace`` state)
    2. Cached auto-discovered workspace ID
    3. Auto-discover by listing workspaces and finding the default

    Returns:
        The resolved workspace ID.

    Raises:
        ConfigError: If credentials are not available.
        WorkspaceScopeError: If no workspaces are found for the project.

    Example:
        ```python
        ws = Workspace()
        ws_id = ws.resolve_workspace_id()
        print(f"Using workspace {ws_id}")
        ```
    """
    client = self._require_api_client()
    return client.resolve_workspace_id()

events ¶

events() -> list[str]

List all event names in the Mixpanel project.

Results are cached for the lifetime of the Workspace.

RETURNS	DESCRIPTION
`list[str]`	Alphabetically sorted list of event names.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`AuthenticationError`	If credentials are invalid.

Source code in src/mixpanel_data/workspace.py

def events(self) -> list[str]:
    """List all event names in the Mixpanel project.

    Results are cached for the lifetime of the Workspace.

    Returns:
        Alphabetically sorted list of event names.

    Raises:
        ConfigError: If API credentials not available.
        AuthenticationError: If credentials are invalid.
    """
    return self._discovery_service.list_events()

properties ¶

properties(event: str) -> list[str]

List all property names for an event.

Results are cached per event for the lifetime of the Workspace.

PARAMETER	DESCRIPTION
`event`	Event name to get properties for. TYPE: `str`

RETURNS	DESCRIPTION
`list[str]`	Alphabetically sorted list of property names.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def properties(self, event: str) -> list[str]:
    """List all property names for an event.

    Results are cached per event for the lifetime of the Workspace.

    Args:
        event: Event name to get properties for.

    Returns:
        Alphabetically sorted list of property names.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._discovery_service.list_properties(event)

property_values ¶

property_values(
    property_name: str, *, event: str | None = None, limit: int = 100
) -> list[str]

Get sample values for a property.

Results are cached per (property, event, limit) for the lifetime of the Workspace.

PARAMETER	DESCRIPTION
`property_name`	Property to get values for. TYPE: `str`
`event`	Optional event to filter by. TYPE: `str \| None` DEFAULT: `None`
`limit`	Maximum number of values to return. TYPE: `int` DEFAULT: `100`

RETURNS	DESCRIPTION
`list[str]`	List of sample property values as strings.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def property_values(
    self,
    property_name: str,
    *,
    event: str | None = None,
    limit: int = 100,
) -> list[str]:
    """Get sample values for a property.

    Results are cached per (property, event, limit) for the lifetime of the Workspace.

    Args:
        property_name: Property to get values for.
        event: Optional event to filter by.
        limit: Maximum number of values to return.

    Returns:
        List of sample property values as strings.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._discovery_service.list_property_values(
        property_name, event=event, limit=limit
    )

subproperties ¶

subproperties(
    property_name: str, *, event: str | None = None, sample_size: int = 50
) -> list[SubPropertyInfo]

List inferred subproperties of a list-of-object event property.

Samples values via :meth:property_values, parses each as JSON, and returns one :class:SubPropertyInfo per discovered scalar subproperty. Designed for properties like cart whose values are objects with subkeys (Brand, Category, Price, Item ID). The returned name and type plug directly into :meth:GroupBy.list_item and :meth:Filter.list_contains.

Scope: only scalar subproperty values (string / number / boolean / ISO datetime string) are reported. Subproperties whose values are themselves dicts or lists are silently skipped — they cannot be used by GroupBy.list_item or Filter.list_contains anyway.

PARAMETER	DESCRIPTION
`property_name`	Top-level list-of-object property name (e.g. `"cart"`). TYPE: `str`
`event`	Optional event name to scope the sample. Strongly recommended; without it the API may return values from across all events. TYPE: `str \| None` DEFAULT: `None`
`sample_size`	Number of raw values to sample. Default: 50. TYPE: `int` DEFAULT: `50`

RETURNS	DESCRIPTION
`list[SubPropertyInfo]`	Alphabetically sorted list of :class:`SubPropertyInfo`.
`list[SubPropertyInfo]`	Empty list if no parseable dict values were found.

RAISES	DESCRIPTION
`ConfigError`	If API credentials cannot be resolved.
`AuthenticationError`	If credentials are configured but rejected by Mixpanel.

WARNS	DESCRIPTION
`UserWarning`	When a subproperty has values of mixed scalar types across rows (collapses to `"string"`); when a sub-key is observed with both scalar and nested-object shapes (reports the scalar form); or when a sub-key is observed but all sampled values were `null` (excluded from output).

Example

for sp in ws.subproperties("cart", event="Cart Viewed"):
    print(sp.name, sp.type, sp.sample_values)
# Brand string ('nike', 'puma', 'h&m')
# Category string ('hats', 'jeans')
# Item ID number (35317, 35318)
# Price number (51, 87, 102)

Source code in src/mixpanel_data/workspace.py

def subproperties(
    self,
    property_name: str,
    *,
    event: str | None = None,
    sample_size: int = 50,
) -> list[SubPropertyInfo]:
    """List inferred subproperties of a list-of-object event property.

    Samples values via :meth:`property_values`, parses each as JSON,
    and returns one :class:`SubPropertyInfo` per discovered scalar
    subproperty. Designed for properties like ``cart`` whose values
    are objects with subkeys (``Brand``, ``Category``, ``Price``,
    ``Item ID``). The returned ``name`` and ``type`` plug directly
    into :meth:`GroupBy.list_item` and :meth:`Filter.list_contains`.

    Scope: only **scalar** subproperty values (string / number /
    boolean / ISO datetime string) are reported. Subproperties whose
    values are themselves dicts or lists are silently skipped — they
    cannot be used by ``GroupBy.list_item`` or
    ``Filter.list_contains`` anyway.

    Args:
        property_name: Top-level list-of-object property name (e.g.
            ``"cart"``).
        event: Optional event name to scope the sample. Strongly
            recommended; without it the API may return values from
            across all events.
        sample_size: Number of raw values to sample. Default: 50.

    Returns:
        Alphabetically sorted list of :class:`SubPropertyInfo`.
        Empty list if no parseable dict values were found.

    Raises:
        ConfigError: If API credentials cannot be resolved.
        AuthenticationError: If credentials are configured but
            rejected by Mixpanel.

    Warns:
        UserWarning: When a subproperty has values of mixed scalar
            types across rows (collapses to ``"string"``); when a
            sub-key is observed with both scalar and nested-object
            shapes (reports the scalar form); or when a sub-key
            is observed but all sampled values were ``null``
            (excluded from output).

    Example:
        ```python
        for sp in ws.subproperties("cart", event="Cart Viewed"):
            print(sp.name, sp.type, sp.sample_values)
        # Brand string ('nike', 'puma', 'h&m')
        # Category string ('hats', 'jeans')
        # Item ID number (35317, 35318)
        # Price number (51, 87, 102)
        ```
    """
    return self._discovery_service.list_subproperties(
        property_name, event=event, sample_size=sample_size
    )

funnels ¶

funnels() -> list[FunnelInfo]

List saved funnels in the Mixpanel project.

Results are cached for the lifetime of the Workspace.

RETURNS	DESCRIPTION
`list[FunnelInfo]`	List of FunnelInfo objects (funnel_id, name).

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def funnels(self) -> list[FunnelInfo]:
    """List saved funnels in the Mixpanel project.

    Results are cached for the lifetime of the Workspace.

    Returns:
        List of FunnelInfo objects (funnel_id, name).

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._discovery_service.list_funnels()

cohorts ¶

cohorts() -> list[SavedCohort]

List saved cohorts in the Mixpanel project.

Results are cached for the lifetime of the Workspace.

RETURNS	DESCRIPTION
`list[SavedCohort]`	List of SavedCohort objects.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def cohorts(self) -> list[SavedCohort]:
    """List saved cohorts in the Mixpanel project.

    Results are cached for the lifetime of the Workspace.

    Returns:
        List of SavedCohort objects.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._discovery_service.list_cohorts()

list_bookmarks ¶

list_bookmarks(bookmark_type: BookmarkType | None = None) -> list[BookmarkInfo]

List all saved reports (bookmarks) in the project.

Retrieves metadata for all saved Insights, Funnel, Retention, and Flows reports in the project.

PARAMETER	DESCRIPTION
`bookmark_type`	Optional filter by report type. Valid values are 'insights', 'funnels', 'retention', 'flows', 'launch-analysis'. If None, returns all bookmark types. TYPE: `BookmarkType \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[BookmarkInfo]`	List of BookmarkInfo objects with report metadata.
`list[BookmarkInfo]`	Empty list if no bookmarks exist.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Permission denied or invalid type parameter.

Source code in src/mixpanel_data/workspace.py

def list_bookmarks(
    self,
    bookmark_type: BookmarkType | None = None,
) -> list[BookmarkInfo]:
    """List all saved reports (bookmarks) in the project.

    Retrieves metadata for all saved Insights, Funnel, Retention, and
    Flows reports in the project.

    Args:
        bookmark_type: Optional filter by report type. Valid values are
            'insights', 'funnels', 'retention', 'flows', 'launch-analysis'.
            If None, returns all bookmark types.

    Returns:
        List of BookmarkInfo objects with report metadata.
        Empty list if no bookmarks exist.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Permission denied or invalid type parameter.
    """
    return self._discovery_service.list_bookmarks(bookmark_type=bookmark_type)

top_events ¶

top_events(
    *,
    type: Literal["general", "average", "unique"] = "general",
    limit: int | None = None,
) -> list[TopEvent]

Get today's most active events.

This method is NOT cached (returns real-time data).

PARAMETER	DESCRIPTION
`type`	Counting method (general, average, unique). TYPE: `Literal['general', 'average', 'unique']` DEFAULT: `'general'`
`limit`	Maximum number of events to return. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[TopEvent]`	List of TopEvent objects with `event`, `count`, and
`list[TopEvent]`	`percent_change` fields.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Example

top = ws.top_events(limit=10)
for t in top:
    print(f"{t.event}: {t.count:,} ({t.percent_change:+.1%})")

Source code in src/mixpanel_data/workspace.py

def top_events(
    self,
    *,
    type: Literal["general", "average", "unique"] = "general",
    limit: int | None = None,
) -> list[TopEvent]:
    """Get today's most active events.

    This method is NOT cached (returns real-time data).

    Args:
        type: Counting method (general, average, unique).
        limit: Maximum number of events to return.

    Returns:
        List of TopEvent objects with ``event``, ``count``, and
        ``percent_change`` fields.

    Raises:
        ConfigError: If API credentials not available.

    Example:
        ```python
        top = ws.top_events(limit=10)
        for t in top:
            print(f"{t.event}: {t.count:,} ({t.percent_change:+.1%})")
        ```
    """
    return self._discovery_service.list_top_events(type=type, limit=limit)

lexicon_schemas ¶

lexicon_schemas(
    *, entity_type: EntityType | None = None
) -> list[LexiconSchema]

List Lexicon schemas in the project.

Retrieves documented event and profile property schemas from the Mixpanel Lexicon (data dictionary).

Results are cached for the lifetime of the Workspace.

PARAMETER	DESCRIPTION
`entity_type`	Optional filter by type ("event" or "profile"). If None, returns all schemas. TYPE: `EntityType \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[LexiconSchema]`	Alphabetically sorted list of LexiconSchema objects.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`AuthenticationError`	If credentials are invalid.

Note

The Lexicon API has a strict 5 requests/minute rate limit. Caching helps avoid hitting this limit; call clear_discovery_cache() only when fresh data is needed.

Source code in src/mixpanel_data/workspace.py

def lexicon_schemas(
    self,
    *,
    entity_type: EntityType | None = None,
) -> list[LexiconSchema]:
    """List Lexicon schemas in the project.

    Retrieves documented event and profile property schemas from the
    Mixpanel Lexicon (data dictionary).

    Results are cached for the lifetime of the Workspace.

    Args:
        entity_type: Optional filter by type ("event" or "profile").
            If None, returns all schemas.

    Returns:
        Alphabetically sorted list of LexiconSchema objects.

    Raises:
        ConfigError: If API credentials not available.
        AuthenticationError: If credentials are invalid.

    Note:
        The Lexicon API has a strict 5 requests/minute rate limit.
        Caching helps avoid hitting this limit; call clear_discovery_cache()
        only when fresh data is needed.
    """
    return self._discovery_service.list_schemas(entity_type=entity_type)

lexicon_schema ¶

lexicon_schema(entity_type: EntityType, name: str) -> LexiconSchema

Get a single Lexicon schema by entity type and name.

Retrieves a documented schema for a specific event or profile property from the Mixpanel Lexicon (data dictionary).

Results are cached for the lifetime of the Workspace.

PARAMETER	DESCRIPTION
`entity_type`	Entity type ("event" or "profile"). TYPE: `EntityType`
`name`	Entity name. TYPE: `str`

RETURNS	DESCRIPTION
`LexiconSchema`	LexiconSchema for the specified entity.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`AuthenticationError`	If credentials are invalid.
`QueryError`	If schema not found.

Note

The Lexicon API has a strict 5 requests/minute rate limit. Caching helps avoid hitting this limit; call clear_discovery_cache() only when fresh data is needed.

Source code in src/mixpanel_data/workspace.py

def lexicon_schema(
    self,
    entity_type: EntityType,
    name: str,
) -> LexiconSchema:
    """Get a single Lexicon schema by entity type and name.

    Retrieves a documented schema for a specific event or profile property
    from the Mixpanel Lexicon (data dictionary).

    Results are cached for the lifetime of the Workspace.

    Args:
        entity_type: Entity type ("event" or "profile").
        name: Entity name.

    Returns:
        LexiconSchema for the specified entity.

    Raises:
        ConfigError: If API credentials not available.
        AuthenticationError: If credentials are invalid.
        QueryError: If schema not found.

    Note:
        The Lexicon API has a strict 5 requests/minute rate limit.
        Caching helps avoid hitting this limit; call clear_discovery_cache()
        only when fresh data is needed.
    """
    return self._discovery_service.get_schema(entity_type, name)

clear_discovery_cache ¶

clear_discovery_cache() -> None

Clear cached discovery results.

Subsequent discovery calls will fetch fresh data from the API.

Source code in src/mixpanel_data/workspace.py

def clear_discovery_cache(self) -> None:
    """Clear cached discovery results.

    Subsequent discovery calls will fetch fresh data from the API.
    """
    if self._discovery is not None:
        self._discovery.clear_cache()

stream_events ¶

stream_events(
    *,
    from_date: str,
    to_date: str,
    events: list[str] | None = None,
    where: str | None = None,
    limit: int | None = None,
    raw: bool = False,
) -> Iterator[dict[str, Any]]

Stream events directly from Mixpanel API without storing.

Yields events one at a time as they are received from the API. No database files or tables are created.

PARAMETER	DESCRIPTION
`from_date`	Start date inclusive (YYYY-MM-DD format). TYPE: `str`
`to_date`	End date inclusive (YYYY-MM-DD format). TYPE: `str`
`events`	Optional list of event names to filter. If None, all events returned. TYPE: `list[str] \| None` DEFAULT: `None`
`where`	Optional Mixpanel filter expression (e.g., 'properties["country"]=="US"'). TYPE: `str \| None` DEFAULT: `None`
`limit`	Optional maximum number of events to return (max 100000). TYPE: `int \| None` DEFAULT: `None`
`raw`	If True, return events in raw Mixpanel API format. If False (default), return normalized format with datetime objects. TYPE: `bool` DEFAULT: `False`

YIELDS	DESCRIPTION
`dict[str, Any]`	dict[str, Any]: Event dictionaries in normalized or raw format.

RAISES	DESCRIPTION
`ConfigError`	If API credentials are not available.
`AuthenticationError`	If credentials are invalid.
`RateLimitError`	If rate limit exceeded after max retries.
`QueryError`	If filter expression is invalid.
`ValueError`	If limit is outside valid range (1-100000).

Example

ws = Workspace()
for event in ws.stream_events(from_date="2024-01-01", to_date="2024-01-31"):
    process(event)
ws.close()

With raw format:

for event in ws.stream_events(
    from_date="2024-01-01", to_date="2024-01-31", raw=True
):
    legacy_system.ingest(event)

Source code in src/mixpanel_data/workspace.py

def stream_events(
    self,
    *,
    from_date: str,
    to_date: str,
    events: list[str] | None = None,
    where: str | None = None,
    limit: int | None = None,
    raw: bool = False,
) -> Iterator[dict[str, Any]]:
    """Stream events directly from Mixpanel API without storing.

    Yields events one at a time as they are received from the API.
    No database files or tables are created.

    Args:
        from_date: Start date inclusive (YYYY-MM-DD format).
        to_date: End date inclusive (YYYY-MM-DD format).
        events: Optional list of event names to filter. If None, all events returned.
        where: Optional Mixpanel filter expression (e.g., 'properties["country"]=="US"').
        limit: Optional maximum number of events to return (max 100000).
        raw: If True, return events in raw Mixpanel API format.
             If False (default), return normalized format with datetime objects.

    Yields:
        dict[str, Any]: Event dictionaries in normalized or raw format.

    Raises:
        ConfigError: If API credentials are not available.
        AuthenticationError: If credentials are invalid.
        RateLimitError: If rate limit exceeded after max retries.
        QueryError: If filter expression is invalid.
        ValueError: If limit is outside valid range (1-100000).

    Example:
        ```python
        ws = Workspace()
        for event in ws.stream_events(from_date="2024-01-01", to_date="2024-01-31"):
            process(event)
        ws.close()
        ```

        With raw format:

        ```python
        for event in ws.stream_events(
            from_date="2024-01-01", to_date="2024-01-31", raw=True
        ):
            legacy_system.ingest(event)
        ```
    """
    # Validate limit early to avoid wasted API calls
    _validate_limit(limit)

    api_client = self._require_api_client()
    event_iterator = api_client.export_events(
        from_date=from_date,
        to_date=to_date,
        events=events,
        where=where,
        limit=limit,
    )

    if raw:
        yield from event_iterator
    else:
        for event in event_iterator:
            yield transform_event(event)

stream_profiles ¶

stream_profiles(
    *,
    where: str | None = None,
    cohort_id: str | None = None,
    output_properties: list[str] | None = None,
    raw: bool = False,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    behaviors: list[dict[str, Any]] | None = None,
    as_of_timestamp: int | None = None,
    include_all_users: bool = False,
) -> Iterator[dict[str, Any]]

Stream user profiles directly from Mixpanel API without storing.

Yields profiles one at a time as they are received from the API. No database files or tables are created.

PARAMETER	DESCRIPTION
`where`	Optional Mixpanel filter expression for profile properties. TYPE: `str \| None` DEFAULT: `None`
`cohort_id`	Optional cohort ID to filter by. Only profiles that are members of this cohort will be returned. TYPE: `str \| None` DEFAULT: `None`
`output_properties`	Optional list of property names to include in the response. If None, all properties are returned. TYPE: `list[str] \| None` DEFAULT: `None`
`raw`	If True, return profiles in raw Mixpanel API format. If False (default), return normalized format. TYPE: `bool` DEFAULT: `False`
`distinct_id`	Optional single user ID to fetch. Mutually exclusive with distinct_ids. TYPE: `str \| None` DEFAULT: `None`
`distinct_ids`	Optional list of user IDs to fetch. Mutually exclusive with distinct_id. Duplicates are automatically removed. TYPE: `list[str] \| None` DEFAULT: `None`
`group_id`	Optional group type identifier (e.g., "companies") to fetch group profiles instead of user profiles. TYPE: `str \| None` DEFAULT: `None`
`behaviors`	Optional list of behavioral filters. Each dict should have 'window' (e.g., "30d"), 'name' (identifier), and 'event_selectors' (list of {"event": "Name"}). Use with `where` parameter to filter, e.g., where='(behaviors["name"] > 0)'. Mutually exclusive with cohort_id. TYPE: `list[dict[str, Any]] \| None` DEFAULT: `None`
`as_of_timestamp`	Optional Unix timestamp to query profile state at a specific point in time. Must be in the past. TYPE: `int \| None` DEFAULT: `None`
`include_all_users`	If True, include all users and mark cohort membership. Only valid when cohort_id is provided. TYPE: `bool` DEFAULT: `False`

YIELDS	DESCRIPTION
`dict[str, Any]`	dict[str, Any]: Profile dictionaries in normalized or raw format.

RAISES	DESCRIPTION
`ConfigError`	If API credentials are not available.
`AuthenticationError`	If credentials are invalid.
`RateLimitError`	If rate limit exceeded after max retries.
`ValueError`	If mutually exclusive parameters are provided.

Example

ws = Workspace()
for profile in ws.stream_profiles():
    sync_to_crm(profile)
ws.close()

Filter to premium users:

for profile in ws.stream_profiles(where='properties["plan"]=="premium"'):
    send_survey(profile)

Filter by cohort and select specific properties:

for profile in ws.stream_profiles(
    cohort_id="12345",
    output_properties=["$email", "$name"]
):
    send_email(profile)

Fetch specific users by ID:

for profile in ws.stream_profiles(distinct_ids=["user_1", "user_2"]):
    print(profile)

Fetch group profiles:

for company in ws.stream_profiles(group_id="companies"):
    print(company)

Source code in src/mixpanel_data/workspace.py

def stream_profiles(
    self,
    *,
    where: str | None = None,
    cohort_id: str | None = None,
    output_properties: list[str] | None = None,
    raw: bool = False,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    behaviors: list[dict[str, Any]] | None = None,
    as_of_timestamp: int | None = None,
    include_all_users: bool = False,
) -> Iterator[dict[str, Any]]:
    """Stream user profiles directly from Mixpanel API without storing.

    Yields profiles one at a time as they are received from the API.
    No database files or tables are created.

    Args:
        where: Optional Mixpanel filter expression for profile properties.
        cohort_id: Optional cohort ID to filter by. Only profiles that are
            members of this cohort will be returned.
        output_properties: Optional list of property names to include in
            the response. If None, all properties are returned.
        raw: If True, return profiles in raw Mixpanel API format.
             If False (default), return normalized format.
        distinct_id: Optional single user ID to fetch. Mutually exclusive
            with distinct_ids.
        distinct_ids: Optional list of user IDs to fetch. Mutually exclusive
            with distinct_id. Duplicates are automatically removed.
        group_id: Optional group type identifier (e.g., "companies") to fetch
            group profiles instead of user profiles.
        behaviors: Optional list of behavioral filters. Each dict should have
            'window' (e.g., "30d"), 'name' (identifier), and 'event_selectors'
            (list of {"event": "Name"}). Use with `where` parameter to filter,
            e.g., where='(behaviors["name"] > 0)'. Mutually exclusive with
            cohort_id.
        as_of_timestamp: Optional Unix timestamp to query profile state at
            a specific point in time. Must be in the past.
        include_all_users: If True, include all users and mark cohort membership.
            Only valid when cohort_id is provided.

    Yields:
        dict[str, Any]: Profile dictionaries in normalized or raw format.

    Raises:
        ConfigError: If API credentials are not available.
        AuthenticationError: If credentials are invalid.
        RateLimitError: If rate limit exceeded after max retries.
        ValueError: If mutually exclusive parameters are provided.

    Example:
        ```python
        ws = Workspace()
        for profile in ws.stream_profiles():
            sync_to_crm(profile)
        ws.close()
        ```

        Filter to premium users:

        ```python
        for profile in ws.stream_profiles(where='properties["plan"]=="premium"'):
            send_survey(profile)
        ```

        Filter by cohort and select specific properties:

        ```python
        for profile in ws.stream_profiles(
            cohort_id="12345",
            output_properties=["$email", "$name"]
        ):
            send_email(profile)
        ```

        Fetch specific users by ID:

        ```python
        for profile in ws.stream_profiles(distinct_ids=["user_1", "user_2"]):
            print(profile)
        ```

        Fetch group profiles:

        ```python
        for company in ws.stream_profiles(group_id="companies"):
            print(company)
        ```
    """
    api_client = self._require_api_client()
    profile_iterator = api_client.export_profiles(
        where=where,
        cohort_id=cohort_id,
        output_properties=output_properties,
        distinct_id=distinct_id,
        distinct_ids=distinct_ids,
        group_id=group_id,
        behaviors=behaviors,
        as_of_timestamp=as_of_timestamp,
        include_all_users=include_all_users,
    )

    if raw:
        yield from profile_iterator
    else:
        for profile in profile_iterator:
            yield transform_profile(profile)

query ¶

query(
    events: str
    | Metric
    | CohortMetric
    | Formula
    | Sequence[str | Metric | CohortMetric | Formula],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: MathType = "total",
    math_property: str | None = None,
    per_user: PerUserAggregation | None = None,
    percentile_value: int | float | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    where: Filter
    | FrequencyFilter
    | list[Filter | FrequencyFilter]
    | None = None,
    formula: str | None = None,
    formula_label: str | None = None,
    rolling: int | None = None,
    cumulative: bool = False,
    mode: Literal["timeseries", "total", "table"] = "timeseries",
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> QueryResult

Run a typed insights query against the Mixpanel API.

Generates bookmark params from keyword arguments, POSTs them inline to /api/query/insights, and returns a structured QueryResult with lazy DataFrame conversion.

PARAMETER	DESCRIPTION
`events`	Event name(s) to query. Accepts a single string, a Metric object, a CohortMetric object, a Formula object, or a sequence mixing strings, Metrics, CohortMetrics, and Formulas. Formula objects in the list are extracted and appended as formula show clauses. When events includes a CohortMetric, `math`, `math_property`, and `per_user` are silently ignored for that entry — cohort size is always counted as unique users (CM3). TYPE: `str \| Metric \| CohortMetric \| Formula \| Sequence[str \| Metric \| CohortMetric \| Formula]`
`from_date`	Start date (YYYY-MM-DD). If set, overrides `last`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Requires `from_date`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. Ignored if `from_date` is set. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit. Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Aggregation function for plain-string events. Default: `"total"`. TYPE: `MathType` DEFAULT: `'total'`
`math_property`	Property name for property-based math (average, sum, percentiles). TYPE: `str \| None` DEFAULT: `None`
`per_user`	Per-user pre-aggregation (average, total, min, max). TYPE: `PerUserAggregation \| None` DEFAULT: `None`
`percentile_value`	Custom percentile value (e.g. 95 for p95). Required when `math="percentile"`. Maps to `percentile` in bookmark measurement. Ignored for other math types. TYPE: `int \| float \| None` DEFAULT: `None`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown \| list[str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. Accepts a Filter or list of Filters. TYPE: `Filter \| FrequencyFilter \| list[Filter \| FrequencyFilter] \| None` DEFAULT: `None`
`formula`	Formula expression referencing events by position (A, B, C...). Requires 2+ events. Cannot be combined with Formula objects in `events`. TYPE: `str \| None` DEFAULT: `None`
`formula_label`	Display label for formula result. TYPE: `str \| None` DEFAULT: `None`
`rolling`	Rolling window size in periods. Mutually exclusive with `cumulative`. TYPE: `int \| None` DEFAULT: `None`
`cumulative`	Enable cumulative analysis mode. Mutually exclusive with `rolling`. TYPE: `bool` DEFAULT: `False`
`mode`	Result shape. `"timeseries"` returns per-period data, `"total"` returns a single aggregate, `"table"` returns tabular data. Default: `"timeseries"`. TYPE: `Literal['timeseries', 'total', 'table']` DEFAULT: `'timeseries'`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, `TimeComparison.absolute_start("2026-01-01")` for a fixed start date, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`QueryResult`	QueryResult with series data, DataFrame, and metadata.

RAISES	DESCRIPTION
`ValueError`	If arguments violate validation rules.
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials.
`QueryError`	Invalid query parameters.
`RateLimitError`	Rate limit exceeded.

Example

ws = Workspace()

# Simple event query
result = ws.query("Login")
print(result.df.head())

# With aggregation and time range
result = ws.query("Login", math="unique", last=7, unit="day")

# Multi-event with formula (top-level parameter)
result = ws.query(
    [Metric("Signup", math="unique"), Metric("Purchase", math="unique")],
    formula="(B / A) * 100",
    formula_label="Conversion Rate",
)

# Multi-event with formula (Formula in list)
result = ws.query(
    [Metric("Signup", math="unique"),
     Metric("Purchase", math="unique"),
     Formula("(B / A) * 100", label="Conversion Rate")],
)

Source code in src/mixpanel_data/workspace.py

def query(
    self,
    events: str
    | Metric
    | CohortMetric
    | Formula
    | Sequence[str | Metric | CohortMetric | Formula],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: MathType = "total",
    math_property: str | None = None,
    per_user: PerUserAggregation | None = None,
    percentile_value: int | float | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    where: Filter | FrequencyFilter | list[Filter | FrequencyFilter] | None = None,
    formula: str | None = None,
    formula_label: str | None = None,
    rolling: int | None = None,
    cumulative: bool = False,
    mode: Literal["timeseries", "total", "table"] = "timeseries",
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> QueryResult:
    """Run a typed insights query against the Mixpanel API.

    Generates bookmark params from keyword arguments, POSTs them inline
    to ``/api/query/insights``, and returns a structured QueryResult
    with lazy DataFrame conversion.

    Args:
        events: Event name(s) to query. Accepts a single string,
            a Metric object, a CohortMetric object, a Formula
            object, or a sequence mixing strings, Metrics,
            CohortMetrics, and Formulas. Formula objects in the
            list are extracted and appended as formula show clauses.
            When events includes a CohortMetric, ``math``,
            ``math_property``, and ``per_user`` are silently
            ignored for that entry — cohort size is always counted
            as unique users (CM3).
        from_date: Start date (YYYY-MM-DD). If set, overrides ``last``.
        to_date: End date (YYYY-MM-DD). Requires ``from_date``.
        last: Relative time range in days. Default: 30.
            Ignored if ``from_date`` is set.
        unit: Time aggregation unit. Default: ``"day"``.
        math: Aggregation function for plain-string events.
            Default: ``"total"``.
        math_property: Property name for property-based math
            (average, sum, percentiles).
        per_user: Per-user pre-aggregation (average, total, min, max).
        percentile_value: Custom percentile value (e.g. 95 for p95).
            Required when ``math="percentile"``. Maps to ``percentile``
            in bookmark measurement. Ignored for other math types.
        group_by: Break down results by property or cohort membership.
            Accepts a string, ``GroupBy``, ``CohortBreakdown``, or
            list of any mix.
        where: Filter results by conditions. Accepts a Filter
            or list of Filters.
        formula: Formula expression referencing events by position
            (A, B, C...). Requires 2+ events. Cannot be combined
            with Formula objects in ``events``.
        formula_label: Display label for formula result.
        rolling: Rolling window size in periods.
            Mutually exclusive with ``cumulative``.
        cumulative: Enable cumulative analysis mode.
            Mutually exclusive with ``rolling``.
        mode: Result shape. ``"timeseries"`` returns per-period data,
            ``"total"`` returns a single aggregate, ``"table"`` returns
            tabular data. Default: ``"timeseries"``.
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, ``TimeComparison.absolute_start("2026-01-01")``
            for a fixed start date, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        QueryResult with series data, DataFrame, and metadata.

    Raises:
        ValueError: If arguments violate validation rules.
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials.
        QueryError: Invalid query parameters.
        RateLimitError: Rate limit exceeded.

    Example:
        ```python
        ws = Workspace()

        # Simple event query
        result = ws.query("Login")
        print(result.df.head())

        # With aggregation and time range
        result = ws.query("Login", math="unique", last=7, unit="day")

        # Multi-event with formula (top-level parameter)
        result = ws.query(
            [Metric("Signup", math="unique"), Metric("Purchase", math="unique")],
            formula="(B / A) * 100",
            formula_label="Conversion Rate",
        )

        # Multi-event with formula (Formula in list)
        result = ws.query(
            [Metric("Signup", math="unique"),
             Metric("Purchase", math="unique"),
             Formula("(B / A) * 100", label="Conversion Rate")],
        )
        ```
    """
    params = self._resolve_and_build_params(
        events=events,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        math=math,
        math_property=math_property,
        per_user=per_user,
        percentile_value=percentile_value,
        group_by=group_by,
        where=where,
        formula=formula,
        formula_label=formula_label,
        rolling=rolling,
        cumulative=cumulative,
        mode=mode,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

    return self._live_query_service.query(
        bookmark_params=params,
        project_id=int(self._session.project.id),
    )

build_params ¶

build_params(
    events: str
    | Metric
    | CohortMetric
    | Formula
    | Sequence[str | Metric | CohortMetric | Formula],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: MathType = "total",
    math_property: str | None = None,
    per_user: PerUserAggregation | None = None,
    percentile_value: int | float | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    where: Filter
    | FrequencyFilter
    | list[Filter | FrequencyFilter]
    | None = None,
    formula: str | None = None,
    formula_label: str | None = None,
    rolling: int | None = None,
    cumulative: bool = False,
    mode: Literal["timeseries", "total", "table"] = "timeseries",
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]

Build validated bookmark params without executing the API call.

Has the same signature as :meth:query but returns the generated bookmark params dict instead of querying the Mixpanel API. Useful for debugging, inspecting generated JSON, persisting via :meth:create_bookmark, or testing.

PARAMETER	DESCRIPTION
`events`	Event name(s) to query. Accepts a single string, a `Metric`, `CohortMetric`, `Formula`, or a sequence mixing strings, `Metric`s, `CohortMetric`s, and `Formula`s. TYPE: `str \| Metric \| CohortMetric \| Formula \| Sequence[str \| Metric \| CohortMetric \| Formula]`
`from_date`	Start date (YYYY-MM-DD). If set, overrides `last`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Requires `from_date`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit. Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Aggregation function for plain-string events. Default: `"total"`. TYPE: `MathType` DEFAULT: `'total'`
`math_property`	Property name for property-based math. TYPE: `str \| None` DEFAULT: `None`
`per_user`	Per-user pre-aggregation. TYPE: `PerUserAggregation \| None` DEFAULT: `None`
`percentile_value`	Custom percentile value (e.g. 95). Required when `math="percentile"`. TYPE: `int \| float \| None` DEFAULT: `None`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown \| list[str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. TYPE: `Filter \| FrequencyFilter \| list[Filter \| FrequencyFilter] \| None` DEFAULT: `None`
`formula`	Formula expression referencing events by position. TYPE: `str \| None` DEFAULT: `None`
`formula_label`	Display label for formula result. TYPE: `str \| None` DEFAULT: `None`
`rolling`	Rolling window size in periods. TYPE: `int \| None` DEFAULT: `None`
`cumulative`	Enable cumulative analysis mode. TYPE: `bool` DEFAULT: `False`
`mode`	Result shape. Default: `"timeseries"`. TYPE: `Literal['timeseries', 'total', 'table']` DEFAULT: `'timeseries'`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, Any]`	Bookmark params dict with `sections` and `displayOptions`
`dict[str, Any]`	keys, ready for use with the insights API or
`dict[str, Any]`	meth:`create_bookmark`.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules.

Example

ws = Workspace()

# Inspect generated bookmark JSON
params = ws.build_params("Login", math="unique", last=7)
print(json.dumps(params, indent=2))

# Save as a bookmark (dashboard_id required)
ws.create_bookmark(CreateBookmarkParams(
    name="Daily Unique Logins",
    bookmark_type="insights",
    params=params,
    dashboard_id=12345,
))

Source code in src/mixpanel_data/workspace.py

def build_params(
    self,
    events: str
    | Metric
    | CohortMetric
    | Formula
    | Sequence[str | Metric | CohortMetric | Formula],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: MathType = "total",
    math_property: str | None = None,
    per_user: PerUserAggregation | None = None,
    percentile_value: int | float | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    where: Filter | FrequencyFilter | list[Filter | FrequencyFilter] | None = None,
    formula: str | None = None,
    formula_label: str | None = None,
    rolling: int | None = None,
    cumulative: bool = False,
    mode: Literal["timeseries", "total", "table"] = "timeseries",
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]:
    """Build validated bookmark params without executing the API call.

    Has the same signature as :meth:`query` but returns the generated
    bookmark params dict instead of querying the Mixpanel API. Useful
    for debugging, inspecting generated JSON, persisting via
    :meth:`create_bookmark`, or testing.

    Args:
        events: Event name(s) to query. Accepts a single string,
            a ``Metric``, ``CohortMetric``, ``Formula``, or a
            sequence mixing strings, ``Metric``s, ``CohortMetric``s,
            and ``Formula``s.
        from_date: Start date (YYYY-MM-DD). If set, overrides ``last``.
        to_date: End date (YYYY-MM-DD). Requires ``from_date``.
        last: Relative time range in days. Default: 30.
        unit: Time aggregation unit. Default: ``"day"``.
        math: Aggregation function for plain-string events.
            Default: ``"total"``.
        math_property: Property name for property-based math.
        per_user: Per-user pre-aggregation.
        percentile_value: Custom percentile value (e.g. 95).
            Required when ``math="percentile"``.
        group_by: Break down results by property or cohort membership.
            Accepts a string, ``GroupBy``, ``CohortBreakdown``, or
            list of any mix.
        where: Filter results by conditions.
        formula: Formula expression referencing events by position.
        formula_label: Display label for formula result.
        rolling: Rolling window size in periods.
        cumulative: Enable cumulative analysis mode.
        mode: Result shape. Default: ``"timeseries"``.
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        Bookmark params dict with ``sections`` and ``displayOptions``
        keys, ready for use with the insights API or
        :meth:`create_bookmark`.

    Raises:
        BookmarkValidationError: If arguments violate validation rules.

    Example:
        ```python
        ws = Workspace()

        # Inspect generated bookmark JSON
        params = ws.build_params("Login", math="unique", last=7)
        print(json.dumps(params, indent=2))

        # Save as a bookmark (dashboard_id required)
        ws.create_bookmark(CreateBookmarkParams(
            name="Daily Unique Logins",
            bookmark_type="insights",
            params=params,
            dashboard_id=12345,
        ))
        ```
    """
    return self._resolve_and_build_params(
        events=events,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        math=math,
        math_property=math_property,
        per_user=per_user,
        percentile_value=percentile_value,
        group_by=group_by,
        where=where,
        formula=formula,
        formula_label=formula_label,
        rolling=rolling,
        cumulative=cumulative,
        mode=mode,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

query_funnel ¶

query_funnel(
    steps: list[str | FunnelStep],
    *,
    conversion_window: int = 14,
    conversion_window_unit: Literal[
        "second", "minute", "hour", "day", "week", "month", "session"
    ] = "day",
    order: Literal["loose", "any"] = "loose",
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: FunnelMathType = "conversion_rate_unique",
    math_property: str | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    exclusions: list[str | Exclusion] | None = None,
    holding_constant: str
    | HoldingConstant
    | list[str | HoldingConstant]
    | None = None,
    mode: Literal["steps", "trends", "table"] = "steps",
    reentry_mode: FunnelReentryMode | None = None,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> FunnelQueryResult

Run a typed funnel query against the Mixpanel API.

Generates funnel bookmark params from keyword arguments, POSTs them inline to /api/query/insights, and returns a structured FunnelQueryResult with lazy DataFrame conversion.

PARAMETER	DESCRIPTION
`steps`	Funnel step specifications. At least 2 required. Accepts event name strings or `FunnelStep` objects for per-step filters, labels, and ordering. TYPE: `list[str \| FunnelStep]`
`conversion_window`	How long users have to complete the funnel. Default: 14. TYPE: `int` DEFAULT: `14`
`conversion_window_unit`	Time unit for conversion window. Default: `"day"`. TYPE: `Literal['second', 'minute', 'hour', 'day', 'week', 'month', 'session']` DEFAULT: `'day'`
`order`	Step ordering mode. `"loose"` requires steps in order but allows other events between. `"any"` allows steps in any order. Default: `"loose"`. TYPE: `Literal['loose', 'any']` DEFAULT: `'loose'`
`from_date`	Start date (YYYY-MM-DD). If set, overrides `last`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Requires `from_date`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit. Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Funnel aggregation function. Default: `"conversion_rate_unique"`. TYPE: `FunnelMathType` DEFAULT: `'conversion_rate_unique'`
`math_property`	Numeric property name for property-aggregation math types (`"average"`, `"median"`, `"min"`, `"max"`, `"p25"`, `"p75"`, `"p90"`, `"p99"`). Required when using those math types; must be `None` for count/rate math types. Default: `None`. TYPE: `str \| None` DEFAULT: `None`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| list[str \| GroupBy \| CohortBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`exclusions`	Events to exclude between steps. Accepts event name strings or `Exclusion` objects. TYPE: `list[str \| Exclusion] \| None` DEFAULT: `None`
`holding_constant`	Properties to hold constant across steps. Accepts strings, `HoldingConstant` objects, or a list mixing both. TYPE: `str \| HoldingConstant \| list[str \| HoldingConstant] \| None` DEFAULT: `None`
`mode`	Result display mode. `"steps"` shows step-level data, `"trends"` shows conversion over time, `"table"` shows tabular breakdown. Default: `"steps"`. TYPE: `Literal['steps', 'trends', 'table']` DEFAULT: `'steps'`
`reentry_mode`	Funnel reentry mode controlling how users re-enter the funnel after conversion. One of `"default"`, `"basic"`, `"aggressive"`, or `"optimized"`. Default: `None` (server default). TYPE: `FunnelReentryMode \| None` DEFAULT: `None`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`FunnelQueryResult`	FunnelQueryResult with step data, DataFrame, and metadata.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules (before API call).
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials.
`QueryError`	Invalid query parameters.
`RateLimitError`	Rate limit exceeded.

Example

ws = Workspace()

# Simple two-step funnel
result = ws.query_funnel(["Signup", "Purchase"])
print(result.overall_conversion_rate)

# Configured funnel
result = ws.query_funnel(
    ["Signup", "Add to Cart", "Checkout", "Purchase"],
    conversion_window=7,
    order="loose",
    last=90,
)
print(result.df)

Source code in src/mixpanel_data/workspace.py

def query_funnel(
    self,
    steps: list[str | FunnelStep],
    *,
    conversion_window: int = 14,
    conversion_window_unit: Literal[
        "second", "minute", "hour", "day", "week", "month", "session"
    ] = "day",
    order: Literal["loose", "any"] = "loose",
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: FunnelMathType = "conversion_rate_unique",
    math_property: str | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    exclusions: list[str | Exclusion] | None = None,
    holding_constant: (
        str | HoldingConstant | list[str | HoldingConstant] | None
    ) = None,
    mode: Literal["steps", "trends", "table"] = "steps",
    reentry_mode: FunnelReentryMode | None = None,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> FunnelQueryResult:
    """Run a typed funnel query against the Mixpanel API.

    Generates funnel bookmark params from keyword arguments, POSTs
    them inline to ``/api/query/insights``, and returns a structured
    FunnelQueryResult with lazy DataFrame conversion.

    Args:
        steps: Funnel step specifications. At least 2 required.
            Accepts event name strings or ``FunnelStep`` objects
            for per-step filters, labels, and ordering.
        conversion_window: How long users have to complete the
            funnel. Default: 14.
        conversion_window_unit: Time unit for conversion window.
            Default: ``"day"``.
        order: Step ordering mode. ``"loose"`` requires steps in
            order but allows other events between. ``"any"`` allows
            steps in any order. Default: ``"loose"``.
        from_date: Start date (YYYY-MM-DD). If set, overrides
            ``last``.
        to_date: End date (YYYY-MM-DD). Requires ``from_date``.
        last: Relative time range in days. Default: 30.
        unit: Time aggregation unit. Default: ``"day"``.
        math: Funnel aggregation function. Default:
            ``"conversion_rate_unique"``.
        math_property: Numeric property name for property-aggregation
            math types (``"average"``, ``"median"``, ``"min"``,
            ``"max"``, ``"p25"``, ``"p75"``, ``"p90"``, ``"p99"``).
            Required when using those math types; must be ``None``
            for count/rate math types. Default: ``None``.
        group_by: Break down results by property or cohort
            membership. Accepts a string, ``GroupBy``,
            ``CohortBreakdown``, or list of any mix.
        where: Filter results by conditions.
        exclusions: Events to exclude between steps. Accepts
            event name strings or ``Exclusion`` objects.
        holding_constant: Properties to hold constant across
            steps. Accepts strings, ``HoldingConstant`` objects,
            or a list mixing both.
        mode: Result display mode. ``"steps"`` shows step-level
            data, ``"trends"`` shows conversion over time,
            ``"table"`` shows tabular breakdown. Default:
            ``"steps"``.
        reentry_mode: Funnel reentry mode controlling how users
            re-enter the funnel after conversion. One of
            ``"default"``, ``"basic"``, ``"aggressive"``, or
            ``"optimized"``. Default: ``None`` (server default).
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        FunnelQueryResult with step data, DataFrame, and metadata.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules (before API call).
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials.
        QueryError: Invalid query parameters.
        RateLimitError: Rate limit exceeded.

    Example:
        ```python
        ws = Workspace()

        # Simple two-step funnel
        result = ws.query_funnel(["Signup", "Purchase"])
        print(result.overall_conversion_rate)

        # Configured funnel
        result = ws.query_funnel(
            ["Signup", "Add to Cart", "Checkout", "Purchase"],
            conversion_window=7,
            order="loose",
            last=90,
        )
        print(result.df)
        ```
    """
    params = self._resolve_and_build_funnel_params(
        steps=steps,
        conversion_window=conversion_window,
        conversion_window_unit=conversion_window_unit,
        order=order,
        math=math,
        math_property=math_property,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        group_by=group_by,
        where=where,
        exclusions=exclusions,
        holding_constant=holding_constant,
        mode=mode,
        reentry_mode=reentry_mode,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

    return self._live_query_service.query_funnel(
        bookmark_params=params,
        project_id=int(self._session.project.id),
    )

build_funnel_params ¶

build_funnel_params(
    steps: list[str | FunnelStep],
    *,
    conversion_window: int = 14,
    conversion_window_unit: Literal[
        "second", "minute", "hour", "day", "week", "month", "session"
    ] = "day",
    order: Literal["loose", "any"] = "loose",
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: FunnelMathType = "conversion_rate_unique",
    math_property: str | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    exclusions: list[str | Exclusion] | None = None,
    holding_constant: str
    | HoldingConstant
    | list[str | HoldingConstant]
    | None = None,
    mode: Literal["steps", "trends", "table"] = "steps",
    reentry_mode: FunnelReentryMode | None = None,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]

Build validated funnel bookmark params without executing.

Has the same signature as :meth:query_funnel but returns the generated bookmark params dict instead of querying the API. Useful for debugging, inspecting generated JSON, persisting via :meth:create_bookmark, or testing.

PARAMETER	DESCRIPTION
`steps`	Funnel step specifications. At least 2 required. TYPE: `list[str \| FunnelStep]`
`conversion_window`	Conversion window size. Default: 14. TYPE: `int` DEFAULT: `14`
`conversion_window_unit`	Time unit. Default: `"day"`. TYPE: `Literal['second', 'minute', 'hour', 'day', 'week', 'month', 'session']` DEFAULT: `'day'`
`order`	Step ordering mode. Default: `"loose"`. TYPE: `Literal['loose', 'any']` DEFAULT: `'loose'`
`from_date`	Start date (YYYY-MM-DD) or None. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD) or None. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit. Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Aggregation function. Default: `"conversion_rate_unique"`. TYPE: `FunnelMathType` DEFAULT: `'conversion_rate_unique'`
`math_property`	Numeric property name for property-aggregation math types. Required for `"average"`, `"median"`, etc. Default: `None`. TYPE: `str \| None` DEFAULT: `None`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| list[str \| GroupBy \| CohortBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`exclusions`	Events to exclude between steps. TYPE: `list[str \| Exclusion] \| None` DEFAULT: `None`
`holding_constant`	Properties to hold constant. TYPE: `str \| HoldingConstant \| list[str \| HoldingConstant] \| None` DEFAULT: `None`
`mode`	Display mode. Default: `"steps"`. TYPE: `Literal['steps', 'trends', 'table']` DEFAULT: `'steps'`
`reentry_mode`	Funnel reentry mode controlling how users re-enter the funnel after conversion. One of `"default"`, `"basic"`, `"aggressive"`, or `"optimized"`. Default: `None` (server default). TYPE: `FunnelReentryMode \| None` DEFAULT: `None`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, Any]`	Bookmark params dict with `sections` and
`dict[str, Any]`	`displayOptions` keys.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules.

Example

ws = Workspace()

# Inspect generated JSON
params = ws.build_funnel_params(["Signup", "Purchase"])
print(json.dumps(params, indent=2))

# Save as a report (dashboard_id required)
ws.create_bookmark(CreateBookmarkParams(
    name="Signup → Purchase Funnel",
    bookmark_type="funnels",
    params=params,
    dashboard_id=12345,
))

Source code in src/mixpanel_data/workspace.py

def build_funnel_params(
    self,
    steps: list[str | FunnelStep],
    *,
    conversion_window: int = 14,
    conversion_window_unit: Literal[
        "second", "minute", "hour", "day", "week", "month", "session"
    ] = "day",
    order: Literal["loose", "any"] = "loose",
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: FunnelMathType = "conversion_rate_unique",
    math_property: str | None = None,
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    exclusions: list[str | Exclusion] | None = None,
    holding_constant: (
        str | HoldingConstant | list[str | HoldingConstant] | None
    ) = None,
    mode: Literal["steps", "trends", "table"] = "steps",
    reentry_mode: FunnelReentryMode | None = None,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]:
    """Build validated funnel bookmark params without executing.

    Has the same signature as :meth:`query_funnel` but returns the
    generated bookmark params dict instead of querying the API.
    Useful for debugging, inspecting generated JSON, persisting
    via :meth:`create_bookmark`, or testing.

    Args:
        steps: Funnel step specifications. At least 2 required.
        conversion_window: Conversion window size. Default: 14.
        conversion_window_unit: Time unit. Default: ``"day"``.
        order: Step ordering mode. Default: ``"loose"``.
        from_date: Start date (YYYY-MM-DD) or None.
        to_date: End date (YYYY-MM-DD) or None.
        last: Relative time range in days. Default: 30.
        unit: Time aggregation unit. Default: ``"day"``.
        math: Aggregation function. Default:
            ``"conversion_rate_unique"``.
        math_property: Numeric property name for property-aggregation
            math types. Required for ``"average"``, ``"median"``,
            etc. Default: ``None``.
        group_by: Break down results by property or cohort
            membership. Accepts a string, ``GroupBy``,
            ``CohortBreakdown``, or list of any mix.
        where: Filter results by conditions.
        exclusions: Events to exclude between steps.
        holding_constant: Properties to hold constant.
        mode: Display mode. Default: ``"steps"``.
        reentry_mode: Funnel reentry mode controlling how users
            re-enter the funnel after conversion. One of
            ``"default"``, ``"basic"``, ``"aggressive"``, or
            ``"optimized"``. Default: ``None`` (server default).
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        Bookmark params dict with ``sections`` and
        ``displayOptions`` keys.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules.

    Example:
        ```python
        ws = Workspace()

        # Inspect generated JSON
        params = ws.build_funnel_params(["Signup", "Purchase"])
        print(json.dumps(params, indent=2))

        # Save as a report (dashboard_id required)
        ws.create_bookmark(CreateBookmarkParams(
            name="Signup → Purchase Funnel",
            bookmark_type="funnels",
            params=params,
            dashboard_id=12345,
        ))
        ```
    """
    return self._resolve_and_build_funnel_params(
        steps=steps,
        conversion_window=conversion_window,
        conversion_window_unit=conversion_window_unit,
        order=order,
        math=math,
        math_property=math_property,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        group_by=group_by,
        where=where,
        exclusions=exclusions,
        holding_constant=holding_constant,
        mode=mode,
        reentry_mode=reentry_mode,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

query_retention ¶

query_retention(
    born_event: str | RetentionEvent,
    return_event: str | RetentionEvent,
    *,
    retention_unit: TimeUnit = "week",
    alignment: RetentionAlignment = "birth",
    bucket_sizes: list[int] | None = None,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: RetentionMathType = "retention_rate",
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    mode: RetentionMode = "curve",
    unbounded_mode: RetentionUnboundedMode | None = None,
    retention_cumulative: bool = False,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> RetentionQueryResult

Run a typed retention query against the Mixpanel API.

Generates retention bookmark params from keyword arguments, POSTs them inline to /api/query/insights, and returns a structured RetentionQueryResult with lazy DataFrame conversion.

PARAMETER	DESCRIPTION
`born_event`	Event that defines cohort membership. Accepts an event name string or a `RetentionEvent` object for per-event filters. TYPE: `str \| RetentionEvent`
`return_event`	Event that defines return. Accepts an event name string or a `RetentionEvent` object. TYPE: `str \| RetentionEvent`
`retention_unit`	Retention period unit. Default: `"week"`. TYPE: `TimeUnit` DEFAULT: `'week'`
`alignment`	Retention alignment mode. Default: `"birth"`. TYPE: `RetentionAlignment` DEFAULT: `'birth'`
`bucket_sizes`	Custom bucket sizes (positive ints in ascending order). Default: `None` (uniform buckets). TYPE: `list[int] \| None` DEFAULT: `None`
`from_date`	Start date (YYYY-MM-DD). If set, overrides `last`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Requires `from_date`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit (`day`, `week`, or `month` — `hour` is not supported for retention). Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Retention aggregation function. Default: `"retention_rate"`. TYPE: `RetentionMathType` DEFAULT: `'retention_rate'`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| list[str \| GroupBy \| CohortBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`mode`	Result display mode. Default: `"curve"`. TYPE: `RetentionMode` DEFAULT: `'curve'`
`unbounded_mode`	Retention unbounded mode controlling how retention is counted in unbounded periods. One of `"none"`, `"carry_back"`, `"carry_forward"`, or `"consecutive_forward"`. Default: `None` (server default). TYPE: `RetentionUnboundedMode \| None` DEFAULT: `None`
`retention_cumulative`	Whether to use cumulative retention counting. Default: `False`. TYPE: `bool` DEFAULT: `False`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`RetentionQueryResult`	RetentionQueryResult with cohort data, DataFrame, and
`RetentionQueryResult`	metadata.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules (before API call).
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials.
`QueryError`	Invalid query parameters.
`RateLimitError`	Rate limit exceeded.

Example

ws = Workspace()

# Simple retention query
result = ws.query_retention("Signup", "Login")
print(result.average)

# With configuration
result = ws.query_retention(
    "Signup", "Login",
    retention_unit="day",
    bucket_sizes=[1, 3, 7, 14, 30],
    last=90,
)
print(result.df)

Source code in src/mixpanel_data/workspace.py

def query_retention(
    self,
    born_event: str | RetentionEvent,
    return_event: str | RetentionEvent,
    *,
    retention_unit: TimeUnit = "week",
    alignment: RetentionAlignment = "birth",
    bucket_sizes: list[int] | None = None,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: RetentionMathType = "retention_rate",
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    mode: RetentionMode = "curve",
    unbounded_mode: RetentionUnboundedMode | None = None,
    retention_cumulative: bool = False,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> RetentionQueryResult:
    """Run a typed retention query against the Mixpanel API.

    Generates retention bookmark params from keyword arguments, POSTs
    them inline to ``/api/query/insights``, and returns a structured
    RetentionQueryResult with lazy DataFrame conversion.

    Args:
        born_event: Event that defines cohort membership. Accepts
            an event name string or a ``RetentionEvent`` object
            for per-event filters.
        return_event: Event that defines return. Accepts an event
            name string or a ``RetentionEvent`` object.
        retention_unit: Retention period unit. Default: ``"week"``.
        alignment: Retention alignment mode. Default: ``"birth"``.
        bucket_sizes: Custom bucket sizes (positive ints in
            ascending order). Default: ``None`` (uniform buckets).
        from_date: Start date (YYYY-MM-DD). If set, overrides
            ``last``.
        to_date: End date (YYYY-MM-DD). Requires ``from_date``.
        last: Relative time range in days. Default: 30.
        unit: Time aggregation unit (``day``, ``week``, or
            ``month`` — ``hour`` is not supported for retention).
            Default: ``"day"``.
        math: Retention aggregation function. Default:
            ``"retention_rate"``.
        group_by: Break down results by property or cohort
            membership. Accepts a string, ``GroupBy``,
            ``CohortBreakdown``, or list of any mix.
        where: Filter results by conditions.
        mode: Result display mode. Default: ``"curve"``.
        unbounded_mode: Retention unbounded mode controlling how
            retention is counted in unbounded periods. One of
            ``"none"``, ``"carry_back"``, ``"carry_forward"``, or
            ``"consecutive_forward"``. Default: ``None``
            (server default).
        retention_cumulative: Whether to use cumulative retention
            counting. Default: ``False``.
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        RetentionQueryResult with cohort data, DataFrame, and
        metadata.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules (before API call).
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials.
        QueryError: Invalid query parameters.
        RateLimitError: Rate limit exceeded.

    Example:
        ```python
        ws = Workspace()

        # Simple retention query
        result = ws.query_retention("Signup", "Login")
        print(result.average)

        # With configuration
        result = ws.query_retention(
            "Signup", "Login",
            retention_unit="day",
            bucket_sizes=[1, 3, 7, 14, 30],
            last=90,
        )
        print(result.df)
        ```
    """
    params = self._resolve_and_build_retention_params(
        born_event=born_event,
        return_event=return_event,
        retention_unit=retention_unit,
        alignment=alignment,
        bucket_sizes=bucket_sizes,
        math=math,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        group_by=group_by,
        where=where,
        mode=mode,
        unbounded_mode=unbounded_mode,
        retention_cumulative=retention_cumulative,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

    return self._live_query_service.query_retention(
        bookmark_params=params,
        project_id=int(self._session.project.id),
    )

build_retention_params ¶

build_retention_params(
    born_event: str | RetentionEvent,
    return_event: str | RetentionEvent,
    *,
    retention_unit: TimeUnit = "week",
    alignment: RetentionAlignment = "birth",
    bucket_sizes: list[int] | None = None,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: RetentionMathType = "retention_rate",
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    mode: RetentionMode = "curve",
    unbounded_mode: RetentionUnboundedMode | None = None,
    retention_cumulative: bool = False,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]

Build validated retention bookmark params without executing.

Accepts the same arguments as :meth:query_retention but returns the generated bookmark params dict (not a RetentionQueryResult) instead of querying the API. Useful for debugging, inspecting generated JSON, persisting via :meth:create_bookmark, or testing.

PARAMETER	DESCRIPTION
`born_event`	Event that defines cohort membership. TYPE: `str \| RetentionEvent`
`return_event`	Event that defines return. TYPE: `str \| RetentionEvent`
`retention_unit`	Retention period unit. Default: `"week"`. TYPE: `TimeUnit` DEFAULT: `'week'`
`alignment`	Retention alignment mode. Default: `"birth"`. TYPE: `RetentionAlignment` DEFAULT: `'birth'`
`bucket_sizes`	Custom bucket sizes. Default: `None`. TYPE: `list[int] \| None` DEFAULT: `None`
`from_date`	Start date (YYYY-MM-DD) or None. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD) or None. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`unit`	Time aggregation unit (`day`, `week`, or `month` — `hour` is not supported for retention). Default: `"day"`. TYPE: `QueryTimeUnit` DEFAULT: `'day'`
`math`	Aggregation function. Default: `"retention_rate"`. TYPE: `RetentionMathType` DEFAULT: `'retention_rate'`
`group_by`	Break down results by property or cohort membership. Accepts a string, `GroupBy`, `CohortBreakdown`, or list of any mix. TYPE: `str \| GroupBy \| CohortBreakdown \| list[str \| GroupBy \| CohortBreakdown] \| None` DEFAULT: `None`
`where`	Filter results by conditions. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`mode`	Display mode. Default: `"curve"`. TYPE: `RetentionMode` DEFAULT: `'curve'`
`unbounded_mode`	Retention unbounded mode controlling how retention is counted in unbounded periods. One of `"none"`, `"carry_back"`, `"carry_forward"`, or `"consecutive_forward"`. Default: `None` (server default). TYPE: `RetentionUnboundedMode \| None` DEFAULT: `None`
`retention_cumulative`	Whether to use cumulative retention counting. Default: `False`. TYPE: `bool` DEFAULT: `False`
`time_comparison`	Optional period-over-period comparison. Use `TimeComparison.relative("month")` for previous month, etc. Default: `None`. TYPE: `TimeComparison \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, Any]`	Bookmark params dict with `sections` and
`dict[str, Any]`	`displayOptions` keys.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules.

Example

ws = Workspace()

# Inspect generated JSON
params = ws.build_retention_params("Signup", "Login")
print(json.dumps(params, indent=2))

# Save as a report (dashboard_id required)
ws.create_bookmark(CreateBookmarkParams(
    name="Signup → Login Retention",
    bookmark_type="retention",
    params=params,
    dashboard_id=12345,
))

Source code in src/mixpanel_data/workspace.py

def build_retention_params(
    self,
    born_event: str | RetentionEvent,
    return_event: str | RetentionEvent,
    *,
    retention_unit: TimeUnit = "week",
    alignment: RetentionAlignment = "birth",
    bucket_sizes: list[int] | None = None,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    unit: QueryTimeUnit = "day",
    math: RetentionMathType = "retention_rate",
    group_by: str
    | GroupBy
    | CohortBreakdown
    | list[str | GroupBy | CohortBreakdown]
    | None = None,
    where: Filter | list[Filter] | None = None,
    mode: RetentionMode = "curve",
    unbounded_mode: RetentionUnboundedMode | None = None,
    retention_cumulative: bool = False,
    time_comparison: TimeComparison | None = None,
    data_group_id: int | None = None,
) -> dict[str, Any]:
    """Build validated retention bookmark params without executing.

    Accepts the same arguments as :meth:`query_retention` but returns
    the generated bookmark params ``dict`` (not a
    ``RetentionQueryResult``) instead of querying the API. Useful for
    debugging, inspecting generated JSON, persisting via
    :meth:`create_bookmark`, or testing.

    Args:
        born_event: Event that defines cohort membership.
        return_event: Event that defines return.
        retention_unit: Retention period unit. Default: ``"week"``.
        alignment: Retention alignment mode. Default: ``"birth"``.
        bucket_sizes: Custom bucket sizes. Default: ``None``.
        from_date: Start date (YYYY-MM-DD) or None.
        to_date: End date (YYYY-MM-DD) or None.
        last: Relative time range in days. Default: 30.
        unit: Time aggregation unit (``day``, ``week``, or
            ``month`` — ``hour`` is not supported for retention).
            Default: ``"day"``.
        math: Aggregation function. Default:
            ``"retention_rate"``.
        group_by: Break down results by property or cohort
            membership. Accepts a string, ``GroupBy``,
            ``CohortBreakdown``, or list of any mix.
        where: Filter results by conditions.
        mode: Display mode. Default: ``"curve"``.
        unbounded_mode: Retention unbounded mode controlling how
            retention is counted in unbounded periods. One of
            ``"none"``, ``"carry_back"``, ``"carry_forward"``, or
            ``"consecutive_forward"``. Default: ``None``
            (server default).
        retention_cumulative: Whether to use cumulative retention
            counting. Default: ``False``.
        time_comparison: Optional period-over-period comparison.
            Use ``TimeComparison.relative("month")`` for previous
            month, etc. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.

    Returns:
        Bookmark params dict with ``sections`` and
        ``displayOptions`` keys.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules.

    Example:
        ```python
        ws = Workspace()

        # Inspect generated JSON
        params = ws.build_retention_params("Signup", "Login")
        print(json.dumps(params, indent=2))

        # Save as a report (dashboard_id required)
        ws.create_bookmark(CreateBookmarkParams(
            name="Signup → Login Retention",
            bookmark_type="retention",
            params=params,
            dashboard_id=12345,
        ))
        ```
    """
    return self._resolve_and_build_retention_params(
        born_event=born_event,
        return_event=return_event,
        retention_unit=retention_unit,
        alignment=alignment,
        bucket_sizes=bucket_sizes,
        math=math,
        from_date=from_date,
        to_date=to_date,
        last=last,
        unit=unit,
        group_by=group_by,
        where=where,
        mode=mode,
        unbounded_mode=unbounded_mode,
        retention_cumulative=retention_cumulative,
        time_comparison=time_comparison,
        data_group_id=data_group_id,
    )

query_flow ¶

query_flow(
    event: str | FlowStep | Sequence[str | FlowStep],
    *,
    forward: int = 3,
    reverse: int = 0,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    conversion_window: int = 7,
    conversion_window_unit: Literal["day", "week", "month", "session"] = "day",
    count_type: Literal["unique", "total", "session"] = "unique",
    cardinality: int = 3,
    collapse_repeated: bool = False,
    hidden_events: list[str] | None = None,
    mode: Literal["sankey", "paths", "tree"] = "sankey",
    where: Filter | list[Filter] | None = None,
    data_group_id: int | None = None,
    segments: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    exclusions: list[str] | None = None,
) -> FlowQueryResult

Run a typed flow query against the Mixpanel API.

Generates flow bookmark params from keyword arguments, POSTs them inline to /arb_funnels, and returns a structured FlowQueryResult with lazy DataFrame conversion.

PARAMETER	DESCRIPTION
`event`	Event specification. Accepts an event name string, a `FlowStep` object for per-step configuration, or a list of strings/`FlowStep` objects for multi-step flows. TYPE: `str \| FlowStep \| Sequence[str \| FlowStep]`
`forward`	Default number of forward steps to trace from each anchor event. Overridden by per-step values. Default: `3`. TYPE: `int` DEFAULT: `3`
`reverse`	Default number of reverse steps to trace from each anchor event. Overridden by per-step values. Default: `0`. TYPE: `int` DEFAULT: `0`
`from_date`	Start date (YYYY-MM-DD). If set, overrides `last`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Requires `from_date`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`conversion_window`	Conversion window size. Default: 7. TYPE: `int` DEFAULT: `7`
`conversion_window_unit`	Conversion window unit. Default: `"day"`. TYPE: `Literal['day', 'week', 'month', 'session']` DEFAULT: `'day'`
`count_type`	Counting method for flow analysis. Default: `"unique"`. TYPE: `Literal['unique', 'total', 'session']` DEFAULT: `'unique'`
`cardinality`	Number of top paths to display. Default: `3`. TYPE: `int` DEFAULT: `3`
`collapse_repeated`	Whether to merge consecutive repeated events. Default: `False`. TYPE: `bool` DEFAULT: `False`
`hidden_events`	Events to hide from the flow visualization. Default: `None`. TYPE: `list[str] \| None` DEFAULT: `None`
`mode`	Flow visualization mode. Default: `"sankey"`. TYPE: `Literal['sankey', 'paths', 'tree']` DEFAULT: `'sankey'`
`where`	Filter results by cohort membership or property conditions. Cohort filters (`Filter.in_cohort` / `Filter.not_in_cohort`) produce `filter_by_cohort`. Property filters (`Filter.equals`, etc.) produce `filter_by_event`. Default: `None`. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`
`segments`	Segment (breakdown) specification for flow results. Accepts a string, `GroupBy`, or list of strings/`GroupBy` objects. Default: `None`. TYPE: `str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown \| list[str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown] \| None` DEFAULT: `None`
`exclusions`	List of event names to exclude from flow paths. Default: `None`. TYPE: `list[str] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`FlowQueryResult`	FlowQueryResult with steps, flows, breakdowns, and
`FlowQueryResult`	metadata.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules (before API call).
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials.
`QueryError`	Invalid query parameters.
`RateLimitError`	Rate limit exceeded.

Example

ws = Workspace()

# Simple flow query
result = ws.query_flow("Login")
print(result.overall_conversion_rate)

# With configuration
result = ws.query_flow(
    FlowStep("Login", forward=5, reverse=2),
    mode="paths",
    last=90,
)
print(result.df)

# With property filter and segments
result = ws.query_flow(
    "Login",
    where=Filter.equals("country", "US"),
    segments=GroupBy("platform"),
    exclusions=["Error Event"],
)

Source code in src/mixpanel_data/workspace.py

def query_flow(
    self,
    event: str | FlowStep | Sequence[str | FlowStep],
    *,
    forward: int = 3,
    reverse: int = 0,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    conversion_window: int = 7,
    conversion_window_unit: Literal["day", "week", "month", "session"] = "day",
    count_type: Literal["unique", "total", "session"] = "unique",
    cardinality: int = 3,
    collapse_repeated: bool = False,
    hidden_events: list[str] | None = None,
    mode: Literal["sankey", "paths", "tree"] = "sankey",
    where: Filter | list[Filter] | None = None,
    data_group_id: int | None = None,
    segments: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    exclusions: list[str] | None = None,
) -> FlowQueryResult:
    """Run a typed flow query against the Mixpanel API.

    Generates flow bookmark params from keyword arguments, POSTs
    them inline to ``/arb_funnels``, and returns a structured
    ``FlowQueryResult`` with lazy DataFrame conversion.

    Args:
        event: Event specification. Accepts an event name string,
            a ``FlowStep`` object for per-step configuration, or
            a list of strings/``FlowStep`` objects for multi-step
            flows.
        forward: Default number of forward steps to trace from
            each anchor event. Overridden by per-step values.
            Default: ``3``.
        reverse: Default number of reverse steps to trace from
            each anchor event. Overridden by per-step values.
            Default: ``0``.
        from_date: Start date (YYYY-MM-DD). If set, overrides
            ``last``.
        to_date: End date (YYYY-MM-DD). Requires ``from_date``.
        last: Relative time range in days. Default: 30.
        conversion_window: Conversion window size. Default: 7.
        conversion_window_unit: Conversion window unit.
            Default: ``"day"``.
        count_type: Counting method for flow analysis.
            Default: ``"unique"``.
        cardinality: Number of top paths to display.
            Default: ``3``.
        collapse_repeated: Whether to merge consecutive repeated
            events. Default: ``False``.
        hidden_events: Events to hide from the flow visualization.
            Default: ``None``.
        mode: Flow visualization mode. Default: ``"sankey"``.
        where: Filter results by cohort membership or property
            conditions. Cohort filters (``Filter.in_cohort`` /
            ``Filter.not_in_cohort``) produce ``filter_by_cohort``.
            Property filters (``Filter.equals``, etc.) produce
            ``filter_by_event``. Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.
        segments: Segment (breakdown) specification for flow
            results. Accepts a string, ``GroupBy``, or list of
            strings/``GroupBy`` objects. Default: ``None``.
        exclusions: List of event names to exclude from flow
            paths. Default: ``None``.

    Returns:
        FlowQueryResult with steps, flows, breakdowns, and
        metadata.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules (before API call).
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials.
        QueryError: Invalid query parameters.
        RateLimitError: Rate limit exceeded.

    Example:
        ```python
        ws = Workspace()

        # Simple flow query
        result = ws.query_flow("Login")
        print(result.overall_conversion_rate)

        # With configuration
        result = ws.query_flow(
            FlowStep("Login", forward=5, reverse=2),
            mode="paths",
            last=90,
        )
        print(result.df)

        # With property filter and segments
        result = ws.query_flow(
            "Login",
            where=Filter.equals("country", "US"),
            segments=GroupBy("platform"),
            exclusions=["Error Event"],
        )
        ```
    """
    params = self._resolve_and_build_flow_params(
        event=event,
        forward=forward,
        reverse=reverse,
        from_date=from_date,
        to_date=to_date,
        last=last,
        conversion_window=conversion_window,
        conversion_window_unit=conversion_window_unit,
        count_type=count_type,
        cardinality=cardinality,
        collapse_repeated=collapse_repeated,
        hidden_events=hidden_events,
        mode=mode,
        where=where,
        data_group_id=data_group_id,
        segments=segments,
        exclusions=exclusions,
    )

    return self._live_query_service.query_flow(
        bookmark_params=params,
        project_id=int(self._session.project.id),
        mode=mode,
    )

build_flow_params ¶

build_flow_params(
    event: str | FlowStep | Sequence[str | FlowStep],
    *,
    forward: int = 3,
    reverse: int = 0,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    conversion_window: int = 7,
    conversion_window_unit: Literal["day", "week", "month", "session"] = "day",
    count_type: Literal["unique", "total", "session"] = "unique",
    cardinality: int = 3,
    collapse_repeated: bool = False,
    hidden_events: list[str] | None = None,
    mode: Literal["sankey", "paths", "tree"] = "sankey",
    where: Filter | list[Filter] | None = None,
    data_group_id: int | None = None,
    segments: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    exclusions: list[str] | None = None,
) -> dict[str, Any]

Build validated flow bookmark params without executing.

Accepts the same arguments as :meth:query_flow but returns the generated bookmark params dict instead of querying the API. Useful for debugging, inspecting generated JSON, persisting via :meth:create_bookmark, or testing.

PARAMETER	DESCRIPTION
`event`	Event specification. Accepts an event name string, a `FlowStep` object, or a list of strings/`FlowStep` objects. TYPE: `str \| FlowStep \| Sequence[str \| FlowStep]`
`forward`	Default forward step count. Default: `3`. TYPE: `int` DEFAULT: `3`
`reverse`	Default reverse step count. Default: `0`. TYPE: `int` DEFAULT: `0`
`from_date`	Start date (YYYY-MM-DD) or `None`. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD) or `None`. TYPE: `str \| None` DEFAULT: `None`
`last`	Relative time range in days. Default: 30. TYPE: `int` DEFAULT: `30`
`conversion_window`	Conversion window size. Default: 7. TYPE: `int` DEFAULT: `7`
`conversion_window_unit`	Conversion window unit. Default: `"day"`. TYPE: `Literal['day', 'week', 'month', 'session']` DEFAULT: `'day'`
`count_type`	Counting method. Default: `"unique"`. TYPE: `Literal['unique', 'total', 'session']` DEFAULT: `'unique'`
`cardinality`	Number of top paths. Default: `3`. TYPE: `int` DEFAULT: `3`
`collapse_repeated`	Merge repeated events. Default: `False`. TYPE: `bool` DEFAULT: `False`
`hidden_events`	Events to hide. Default: `None`. TYPE: `list[str] \| None` DEFAULT: `None`
`mode`	Display mode. Default: `"sankey"`. TYPE: `Literal['sankey', 'paths', 'tree']` DEFAULT: `'sankey'`
`where`	Filter results by cohort membership or property conditions. Cohort filters produce `filter_by_cohort`, property filters produce `filter_by_event`. Default: `None`. TYPE: `Filter \| list[Filter] \| None` DEFAULT: `None`
`data_group_id`	Optional data group ID for group-level analytics. Scopes the query to a specific data group. Default: `None`. TYPE: `int \| None` DEFAULT: `None`
`segments`	Segment (breakdown) specification for flow results. Accepts a string, `GroupBy`, or list of strings/`GroupBy` objects. Default: `None`. TYPE: `str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown \| list[str \| GroupBy \| CohortBreakdown \| FrequencyBreakdown] \| None` DEFAULT: `None`
`exclusions`	List of event names to exclude from flow paths. Default: `None`. TYPE: `list[str] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, Any]`	Flat bookmark params dict with `steps`, `date_range`,
`dict[str, Any]`	`chartType`, `count_type`, and `version` keys.

RAISES	DESCRIPTION
`BookmarkValidationError`	If arguments violate validation rules.

Example

ws = Workspace()

# Inspect generated JSON
params = ws.build_flow_params("Login")
print(json.dumps(params, indent=2))

# With segments and exclusions
params = ws.build_flow_params(
    "Login",
    segments=GroupBy("country"),
    exclusions=["Error Event"],
    where=Filter.equals("platform", "iOS"),
)

Source code in src/mixpanel_data/workspace.py

def build_flow_params(
    self,
    event: str | FlowStep | Sequence[str | FlowStep],
    *,
    forward: int = 3,
    reverse: int = 0,
    from_date: str | None = None,
    to_date: str | None = None,
    last: int = 30,
    conversion_window: int = 7,
    conversion_window_unit: Literal["day", "week", "month", "session"] = "day",
    count_type: Literal["unique", "total", "session"] = "unique",
    cardinality: int = 3,
    collapse_repeated: bool = False,
    hidden_events: list[str] | None = None,
    mode: Literal["sankey", "paths", "tree"] = "sankey",
    where: Filter | list[Filter] | None = None,
    data_group_id: int | None = None,
    segments: str
    | GroupBy
    | CohortBreakdown
    | FrequencyBreakdown
    | list[str | GroupBy | CohortBreakdown | FrequencyBreakdown]
    | None = None,
    exclusions: list[str] | None = None,
) -> dict[str, Any]:
    """Build validated flow bookmark params without executing.

    Accepts the same arguments as :meth:`query_flow` but returns
    the generated bookmark params ``dict`` instead of querying
    the API. Useful for debugging, inspecting generated JSON,
    persisting via :meth:`create_bookmark`, or testing.

    Args:
        event: Event specification. Accepts an event name string,
            a ``FlowStep`` object, or a list of strings/``FlowStep``
            objects.
        forward: Default forward step count. Default: ``3``.
        reverse: Default reverse step count. Default: ``0``.
        from_date: Start date (YYYY-MM-DD) or ``None``.
        to_date: End date (YYYY-MM-DD) or ``None``.
        last: Relative time range in days. Default: 30.
        conversion_window: Conversion window size. Default: 7.
        conversion_window_unit: Conversion window unit.
            Default: ``"day"``.
        count_type: Counting method. Default: ``"unique"``.
        cardinality: Number of top paths. Default: ``3``.
        collapse_repeated: Merge repeated events. Default: ``False``.
        hidden_events: Events to hide. Default: ``None``.
        mode: Display mode. Default: ``"sankey"``.
        where: Filter results by cohort membership or property
            conditions. Cohort filters produce ``filter_by_cohort``,
            property filters produce ``filter_by_event``.
            Default: ``None``.
        data_group_id: Optional data group ID for group-level
            analytics. Scopes the query to a specific data group.
            Default: ``None``.
        segments: Segment (breakdown) specification for flow
            results. Accepts a string, ``GroupBy``, or list of
            strings/``GroupBy`` objects. Default: ``None``.
        exclusions: List of event names to exclude from flow
            paths. Default: ``None``.

    Returns:
        Flat bookmark params dict with ``steps``, ``date_range``,
        ``chartType``, ``count_type``, and ``version`` keys.

    Raises:
        BookmarkValidationError: If arguments violate validation
            rules.

    Example:
        ```python
        ws = Workspace()

        # Inspect generated JSON
        params = ws.build_flow_params("Login")
        print(json.dumps(params, indent=2))

        # With segments and exclusions
        params = ws.build_flow_params(
            "Login",
            segments=GroupBy("country"),
            exclusions=["Error Event"],
            where=Filter.equals("platform", "iOS"),
        )
        ```
    """
    return self._resolve_and_build_flow_params(
        event=event,
        forward=forward,
        reverse=reverse,
        from_date=from_date,
        to_date=to_date,
        last=last,
        conversion_window=conversion_window,
        conversion_window_unit=conversion_window_unit,
        count_type=count_type,
        cardinality=cardinality,
        collapse_repeated=collapse_repeated,
        hidden_events=hidden_events,
        mode=mode,
        where=where,
        data_group_id=data_group_id,
        segments=segments,
        exclusions=exclusions,
    )

query_user ¶

query_user(
    *,
    where: Filter | list[Filter] | str | None = None,
    cohort: int | CohortDefinition | None = None,
    properties: list[str] | None = None,
    sort_by: str | None = None,
    sort_order: Literal["ascending", "descending"] = "descending",
    limit: int | None = 1,
    search: str | None = None,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    as_of: str | int | None = None,
    mode: Literal["profiles", "aggregate"] = "aggregate",
    aggregate: Literal[
        "count", "extremes", "percentile", "numeric_summary"
    ] = "count",
    aggregate_property: str | None = None,
    percentile: float | None = None,
    segment_by: list[int] | None = None,
    parallel: bool = False,
    workers: int = 5,
    include_all_users: bool = False,
) -> UserQueryResult

Query user profiles from Mixpanel's Engage API.

Provides a high-level interface to Mixpanel's Engage API for querying user profiles with typed filters, cohort membership, sorting, and pagination. Results are returned as a structured UserQueryResult with lazy DataFrame conversion.

PARAMETER	DESCRIPTION
`where`	Filter profiles by property values. Accepts a single `Filter`, a list of `Filter` objects (AND-combined), a raw selector string, or `None`. TYPE: `Filter \| list[Filter] \| str \| None` DEFAULT: `None`
`cohort`	Filter by cohort membership. An `int` for a saved cohort ID, or a `CohortDefinition` for an inline cohort definition. TYPE: `int \| CohortDefinition \| None` DEFAULT: `None`
`properties`	Output properties to include in results. TYPE: `list[str] \| None` DEFAULT: `None`
`sort_by`	Property name to sort results by. TYPE: `str \| None` DEFAULT: `None`
`sort_order`	Sort direction (`"ascending"` or `"descending"`). TYPE: `Literal['ascending', 'descending']` DEFAULT: `'descending'`
`limit`	Maximum profiles to return. Defaults to `1` for quick exploration. Use `None` to fetch all matching profiles. TYPE: `int \| None` DEFAULT: `1`
`search`	Full-text search term applied to profile properties. TYPE: `str \| None` DEFAULT: `None`
`distinct_id`	Look up a single user by distinct ID. TYPE: `str \| None` DEFAULT: `None`
`distinct_ids`	Batch look up multiple users by distinct IDs. TYPE: `list[str] \| None` DEFAULT: `None`
`group_id`	Query group profiles instead of user profiles. TYPE: `str \| None` DEFAULT: `None`
`as_of`	Point-in-time query. An ISO date string (`YYYY-MM-DD`) is converted to a Unix timestamp; an `int` is passed through directly. TYPE: `str \| int \| None` DEFAULT: `None`
`mode`	Output mode (`"profiles"` or `"aggregate"`). TYPE: `Literal['profiles', 'aggregate']` DEFAULT: `'aggregate'`
`aggregate`	Aggregation function for aggregate mode. One of `"count"` (profile count), `"extremes"` (min/max), `"percentile"` (Nth percentile), or `"numeric_summary"` (count/mean/var/sum_of_squares). TYPE: `Literal['count', 'extremes', 'percentile', 'numeric_summary']` DEFAULT: `'count'`
`aggregate_property`	Property to aggregate on (required for non-count aggregations). TYPE: `str \| None` DEFAULT: `None`
`percentile`	Percentile value (0-100 exclusive). Required when `aggregate="percentile"`. TYPE: `float \| None` DEFAULT: `None`
`segment_by`	Cohort IDs for segmented aggregation. TYPE: `list[int] \| None` DEFAULT: `None`
`parallel`	Whether to enable concurrent page fetching. TYPE: `bool` DEFAULT: `False`
`workers`	Maximum concurrent workers for parallel fetching. TYPE: `int` DEFAULT: `5`
`include_all_users`	Include non-members in cohort query results. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`UserQueryResult`	`UserQueryResult` with profiles, total count, DataFrame,
`UserQueryResult`	and execution metadata.

RAISES	DESCRIPTION
`BookmarkValidationError`	If any validation rule fails.
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`RateLimitError`	API rate limit exceeded (429).
`APIError`	Other API communication errors.

Example

ws = Workspace()

# Quick peek at one profile
result = ws.query_user()
print(result.df)

# Filter premium users, sorted by LTV
result = ws.query_user(
    where=Filter.equals("plan", "premium"),
    sort_by="ltv",
    sort_order="descending",
    limit=100,
)
print(f"Total premium users: {result.total}")
print(result.df.head())

# Batch lookup specific users
result = ws.query_user(
    distinct_ids=["user_001", "user_002"],
    limit=None,
)

Source code in src/mixpanel_data/workspace.py

def query_user(
    self,
    *,
    where: Filter | list[Filter] | str | None = None,
    cohort: int | CohortDefinition | None = None,
    properties: list[str] | None = None,
    sort_by: str | None = None,
    sort_order: Literal["ascending", "descending"] = "descending",
    limit: int | None = 1,
    search: str | None = None,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    as_of: str | int | None = None,
    mode: Literal["profiles", "aggregate"] = "aggregate",
    aggregate: Literal[
        "count", "extremes", "percentile", "numeric_summary"
    ] = "count",
    aggregate_property: str | None = None,
    percentile: float | None = None,
    segment_by: list[int] | None = None,
    parallel: bool = False,
    workers: int = 5,
    include_all_users: bool = False,
) -> UserQueryResult:
    """Query user profiles from Mixpanel's Engage API.

    Provides a high-level interface to Mixpanel's Engage API for
    querying user profiles with typed filters, cohort membership,
    sorting, and pagination. Results are returned as a structured
    ``UserQueryResult`` with lazy DataFrame conversion.

    Args:
        where: Filter profiles by property values. Accepts a single
            ``Filter``, a list of ``Filter`` objects (AND-combined),
            a raw selector string, or ``None``.
        cohort: Filter by cohort membership. An ``int`` for a saved
            cohort ID, or a ``CohortDefinition`` for an inline
            cohort definition.
        properties: Output properties to include in results.
        sort_by: Property name to sort results by.
        sort_order: Sort direction (``"ascending"`` or ``"descending"``).
        limit: Maximum profiles to return. Defaults to ``1`` for
            quick exploration. Use ``None`` to fetch all matching
            profiles.
        search: Full-text search term applied to profile properties.
        distinct_id: Look up a single user by distinct ID.
        distinct_ids: Batch look up multiple users by distinct IDs.
        group_id: Query group profiles instead of user profiles.
        as_of: Point-in-time query. An ISO date string (``YYYY-MM-DD``)
            is converted to a Unix timestamp; an ``int`` is passed
            through directly.
        mode: Output mode (``"profiles"`` or ``"aggregate"``).
        aggregate: Aggregation function for aggregate mode. One of
            ``"count"`` (profile count), ``"extremes"`` (min/max),
            ``"percentile"`` (Nth percentile), or
            ``"numeric_summary"`` (count/mean/var/sum_of_squares).
        aggregate_property: Property to aggregate on (required for
            non-count aggregations).
        percentile: Percentile value (0-100 exclusive). Required
            when ``aggregate="percentile"``.
        segment_by: Cohort IDs for segmented aggregation.
        parallel: Whether to enable concurrent page fetching.
        workers: Maximum concurrent workers for parallel fetching.
        include_all_users: Include non-members in cohort query results.

    Returns:
        ``UserQueryResult`` with profiles, total count, DataFrame,
        and execution metadata.

    Raises:
        BookmarkValidationError: If any validation rule fails.
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        RateLimitError: API rate limit exceeded (429).
        APIError: Other API communication errors.

    Example:
        ```python
        ws = Workspace()

        # Quick peek at one profile
        result = ws.query_user()
        print(result.df)

        # Filter premium users, sorted by LTV
        result = ws.query_user(
            where=Filter.equals("plan", "premium"),
            sort_by="ltv",
            sort_order="descending",
            limit=100,
        )
        print(f"Total premium users: {result.total}")
        print(result.df.head())

        # Batch lookup specific users
        result = ws.query_user(
            distinct_ids=["user_001", "user_002"],
            limit=None,
        )
        ```
    """
    params = self._resolve_and_build_user_params(
        where=where,
        cohort=cohort,
        properties=properties,
        sort_by=sort_by,
        sort_order=sort_order,
        limit=limit,
        search=search,
        distinct_id=distinct_id,
        distinct_ids=distinct_ids,
        group_id=group_id,
        as_of=as_of,
        mode=mode,
        aggregate=aggregate,
        aggregate_property=aggregate_property,
        percentile=percentile,
        segment_by=segment_by,
        parallel=parallel,
        workers=workers,
        include_all_users=include_all_users,
    )

    # Route by mode
    if mode == "aggregate":
        aggregate_data, total, computed_at, meta = self._execute_user_aggregate(
            params
        )
        return UserQueryResult(
            computed_at=computed_at,
            total=total,
            profiles=[],
            params=params,
            meta=meta,
            mode="aggregate",
            aggregate_data=aggregate_data,
        )

    # Profiles mode — choose sequential or parallel
    if parallel and limit != 1:
        profiles, total, computed_at, meta = self._execute_user_query_parallel(
            params, limit, workers
        )
    else:
        if parallel and limit == 1:
            logger.debug("parallel=True ignored: limit=1 uses sequential path")
        profiles, total, computed_at, meta = self._execute_user_query_sequential(
            params, limit
        )

    return UserQueryResult(
        computed_at=computed_at,
        total=total,
        profiles=profiles,
        params=params,
        meta=meta,
        mode="profiles",
        aggregate_data=None,
    )

build_user_params ¶

build_user_params(
    *,
    where: Filter | list[Filter] | str | None = None,
    cohort: int | CohortDefinition | None = None,
    properties: list[str] | None = None,
    sort_by: str | None = None,
    sort_order: Literal["ascending", "descending"] = "descending",
    search: str | None = None,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    as_of: str | int | None = None,
    mode: Literal["profiles", "aggregate"] = "aggregate",
    aggregate: Literal[
        "count", "extremes", "percentile", "numeric_summary"
    ] = "count",
    aggregate_property: str | None = None,
    percentile: float | None = None,
    segment_by: list[int] | None = None,
    limit: int | None = 1,
    parallel: bool = False,
    workers: int = 5,
    include_all_users: bool = False,
) -> dict[str, Any]

Build engage API params without executing a query.

Validates arguments and constructs the params dict that would be sent to the Engage API, without actually making an API call. Useful for debugging, testing, and inspecting the generated params before execution.

PARAMETER	DESCRIPTION
`where`	Filter profiles by property values. Accepts a single `Filter`, a list of `Filter` objects (AND-combined), a raw selector string, or `None`. TYPE: `Filter \| list[Filter] \| str \| None` DEFAULT: `None`
`cohort`	Filter by cohort membership. An `int` for a saved cohort ID, or a `CohortDefinition` for an inline cohort definition. TYPE: `int \| CohortDefinition \| None` DEFAULT: `None`
`properties`	Output properties to include in results. TYPE: `list[str] \| None` DEFAULT: `None`
`sort_by`	Property name to sort results by. TYPE: `str \| None` DEFAULT: `None`
`sort_order`	Sort direction (`"ascending"` or `"descending"`). TYPE: `Literal['ascending', 'descending']` DEFAULT: `'descending'`
`search`	Full-text search term applied to profile properties. TYPE: `str \| None` DEFAULT: `None`
`distinct_id`	Look up a single user by distinct ID. TYPE: `str \| None` DEFAULT: `None`
`distinct_ids`	Batch look up multiple users by distinct IDs. TYPE: `list[str] \| None` DEFAULT: `None`
`group_id`	Query group profiles instead of user profiles. TYPE: `str \| None` DEFAULT: `None`
`as_of`	Point-in-time query. An ISO date string (`YYYY-MM-DD`) is converted to a Unix timestamp; an `int` is passed through directly. TYPE: `str \| int \| None` DEFAULT: `None`
`mode`	Output mode (`"profiles"` or `"aggregate"`). TYPE: `Literal['profiles', 'aggregate']` DEFAULT: `'aggregate'`
`aggregate`	Aggregation function for aggregate mode. One of `"count"` (profile count), `"extremes"` (min/max), `"percentile"` (Nth percentile), or `"numeric_summary"` (count/mean/var/sum_of_squares). TYPE: `Literal['count', 'extremes', 'percentile', 'numeric_summary']` DEFAULT: `'count'`
`aggregate_property`	Property to aggregate on (required for non-count aggregations). TYPE: `str \| None` DEFAULT: `None`
`percentile`	Percentile value (0-100 exclusive). Required when `aggregate="percentile"`. TYPE: `float \| None` DEFAULT: `None`
`segment_by`	Cohort IDs for segmented aggregation. TYPE: `list[int] \| None` DEFAULT: `None`
`limit`	Maximum profiles to return. Defaults to `1`. Used for argument-level validation (U3); not included in the returned params dict. TYPE: `int \| None` DEFAULT: `1`
`parallel`	Whether to enable concurrent page fetching. Accepted for signature compatibility with `query_user()` but has no effect on the returned params dict. TYPE: `bool` DEFAULT: `False`
`workers`	Maximum concurrent workers for parallel fetching. Accepted for signature compatibility with `query_user()` but has no effect on the returned params dict. TYPE: `int` DEFAULT: `5`
`include_all_users`	Include non-members in cohort query results. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`dict[str, Any]`	Engage API params dict. Does not include pagination params
`dict[str, Any]`	(`page`, `session_id`) or `limit`, which are added at
`dict[str, Any]`	execution time by `query_user()`.

RAISES	DESCRIPTION
`BookmarkValidationError`	If any validation rule fails at either the argument level (U1-U28) or the param level (UP1-UP4).

Example

ws = Workspace()
params = ws.build_user_params(
    where=Filter.equals("plan", "premium"),
    sort_by="ltv",
)
print(params)
# {"where": 'properties["plan"] == "premium"',
#  "sort_key": 'properties["ltv"]',
#  "sort_order": "descending"}

Source code in src/mixpanel_data/workspace.py

def build_user_params(
    self,
    *,
    where: Filter | list[Filter] | str | None = None,
    cohort: int | CohortDefinition | None = None,
    properties: list[str] | None = None,
    sort_by: str | None = None,
    sort_order: Literal["ascending", "descending"] = "descending",
    search: str | None = None,
    distinct_id: str | None = None,
    distinct_ids: list[str] | None = None,
    group_id: str | None = None,
    as_of: str | int | None = None,
    mode: Literal["profiles", "aggregate"] = "aggregate",
    aggregate: Literal[
        "count", "extremes", "percentile", "numeric_summary"
    ] = "count",
    aggregate_property: str | None = None,
    percentile: float | None = None,
    segment_by: list[int] | None = None,
    limit: int | None = 1,
    parallel: bool = False,
    workers: int = 5,
    include_all_users: bool = False,
) -> dict[str, Any]:
    """Build engage API params without executing a query.

    Validates arguments and constructs the params dict that would be
    sent to the Engage API, without actually making an API call.
    Useful for debugging, testing, and inspecting the generated
    params before execution.

    Args:
        where: Filter profiles by property values. Accepts a single
            ``Filter``, a list of ``Filter`` objects (AND-combined),
            a raw selector string, or ``None``.
        cohort: Filter by cohort membership. An ``int`` for a saved
            cohort ID, or a ``CohortDefinition`` for an inline
            cohort definition.
        properties: Output properties to include in results.
        sort_by: Property name to sort results by.
        sort_order: Sort direction (``"ascending"`` or ``"descending"``).
        search: Full-text search term applied to profile properties.
        distinct_id: Look up a single user by distinct ID.
        distinct_ids: Batch look up multiple users by distinct IDs.
        group_id: Query group profiles instead of user profiles.
        as_of: Point-in-time query. An ISO date string (``YYYY-MM-DD``)
            is converted to a Unix timestamp; an ``int`` is passed
            through directly.
        mode: Output mode (``"profiles"`` or ``"aggregate"``).
        aggregate: Aggregation function for aggregate mode. One of
            ``"count"`` (profile count), ``"extremes"`` (min/max),
            ``"percentile"`` (Nth percentile), or
            ``"numeric_summary"`` (count/mean/var/sum_of_squares).
        aggregate_property: Property to aggregate on (required for
            non-count aggregations).
        percentile: Percentile value (0-100 exclusive). Required
            when ``aggregate="percentile"``.
        segment_by: Cohort IDs for segmented aggregation.
        limit: Maximum profiles to return. Defaults to ``1``. Used
            for argument-level validation (U3); not included in the
            returned params dict.
        parallel: Whether to enable concurrent page fetching.
            Accepted for signature compatibility with ``query_user()``
            but has no effect on the returned params dict.
        workers: Maximum concurrent workers for parallel fetching.
            Accepted for signature compatibility with ``query_user()``
            but has no effect on the returned params dict.
        include_all_users: Include non-members in cohort query results.

    Returns:
        Engage API params dict. Does not include pagination params
        (``page``, ``session_id``) or ``limit``, which are added at
        execution time by ``query_user()``.

    Raises:
        BookmarkValidationError: If any validation rule fails at
            either the argument level (U1-U28) or the param level
            (UP1-UP4).

    Example:
        ```python
        ws = Workspace()
        params = ws.build_user_params(
            where=Filter.equals("plan", "premium"),
            sort_by="ltv",
        )
        print(params)
        # {"where": 'properties["plan"] == "premium"',
        #  "sort_key": 'properties["ltv"]',
        #  "sort_order": "descending"}
        ```
    """
    return self._resolve_and_build_user_params(
        where=where,
        cohort=cohort,
        properties=properties,
        sort_by=sort_by,
        sort_order=sort_order,
        search=search,
        distinct_id=distinct_id,
        distinct_ids=distinct_ids,
        group_id=group_id,
        as_of=as_of,
        mode=mode,
        aggregate=aggregate,
        aggregate_property=aggregate_property,
        percentile=percentile,
        segment_by=segment_by,
        limit=limit,
        parallel=parallel,
        workers=workers,
        include_all_users=include_all_users,
    )

segmentation ¶

segmentation(
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str | None = None,
    unit: Literal["day", "week", "month"] = "day",
    where: str | None = None,
) -> SegmentationResult

Run a segmentation query against Mixpanel API.

PARAMETER	DESCRIPTION
`event`	Event name to query. TYPE: `str`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`on`	Optional property to segment by. TYPE: `str \| None` DEFAULT: `None`
`unit`	Time unit for aggregation. TYPE: `Literal['day', 'week', 'month']` DEFAULT: `'day'`
`where`	Optional WHERE clause. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SegmentationResult`	SegmentationResult with time-series data.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def segmentation(
    self,
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str | None = None,
    unit: Literal["day", "week", "month"] = "day",
    where: str | None = None,
) -> SegmentationResult:
    """Run a segmentation query against Mixpanel API.

    Args:
        event: Event name to query.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        on: Optional property to segment by.
        unit: Time unit for aggregation.
        where: Optional WHERE clause.

    Returns:
        SegmentationResult with time-series data.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.segmentation(
        event=event,
        from_date=from_date,
        to_date=to_date,
        on=on,
        unit=unit,
        where=where,
    )

funnel ¶

funnel(
    funnel_id: int,
    *,
    from_date: str,
    to_date: str,
    unit: str | None = None,
    on: str | None = None,
) -> FunnelResult

Run a funnel analysis query.

PARAMETER	DESCRIPTION
`funnel_id`	ID of saved funnel. TYPE: `int`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`unit`	Optional time unit. TYPE: `str \| None` DEFAULT: `None`
`on`	Optional property to segment by. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`FunnelResult`	FunnelResult with step conversion rates.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def funnel(
    self,
    funnel_id: int,
    *,
    from_date: str,
    to_date: str,
    unit: str | None = None,
    on: str | None = None,
) -> FunnelResult:
    """Run a funnel analysis query.

    Args:
        funnel_id: ID of saved funnel.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        unit: Optional time unit.
        on: Optional property to segment by.

    Returns:
        FunnelResult with step conversion rates.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.funnel(
        funnel_id=funnel_id,
        from_date=from_date,
        to_date=to_date,
        unit=unit,
        on=on,
    )

retention ¶

retention(
    *,
    born_event: str,
    return_event: str,
    from_date: str,
    to_date: str,
    born_where: str | None = None,
    return_where: str | None = None,
    interval: int = 1,
    interval_count: int = 10,
    unit: Literal["day", "week", "month"] = "day",
) -> RetentionResult

Run a retention analysis query.

PARAMETER	DESCRIPTION
`born_event`	Event that defines cohort entry. TYPE: `str`
`return_event`	Event that defines return. TYPE: `str`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`born_where`	Optional filter for born event. TYPE: `str \| None` DEFAULT: `None`
`return_where`	Optional filter for return event. TYPE: `str \| None` DEFAULT: `None`
`interval`	Retention interval. TYPE: `int` DEFAULT: `1`
`interval_count`	Number of intervals. TYPE: `int` DEFAULT: `10`
`unit`	Time unit. TYPE: `Literal['day', 'week', 'month']` DEFAULT: `'day'`

RETURNS	DESCRIPTION
`RetentionResult`	RetentionResult with cohort retention data.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def retention(
    self,
    *,
    born_event: str,
    return_event: str,
    from_date: str,
    to_date: str,
    born_where: str | None = None,
    return_where: str | None = None,
    interval: int = 1,
    interval_count: int = 10,
    unit: Literal["day", "week", "month"] = "day",
) -> RetentionResult:
    """Run a retention analysis query.

    Args:
        born_event: Event that defines cohort entry.
        return_event: Event that defines return.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        born_where: Optional filter for born event.
        return_where: Optional filter for return event.
        interval: Retention interval.
        interval_count: Number of intervals.
        unit: Time unit.

    Returns:
        RetentionResult with cohort retention data.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.retention(
        born_event=born_event,
        return_event=return_event,
        from_date=from_date,
        to_date=to_date,
        born_where=born_where,
        return_where=return_where,
        interval=interval,
        interval_count=interval_count,
        unit=unit,
    )

jql ¶

jql(script: str, params: dict[str, Any] | None = None) -> JQLResult

Execute a custom JQL script.

PARAMETER	DESCRIPTION
`script`	JQL script code. TYPE: `str`
`params`	Optional parameters to pass to script. TYPE: `dict[str, Any] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`JQLResult`	JQLResult with raw query results.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`JQLSyntaxError`	If script has syntax errors.

Source code in src/mixpanel_data/workspace.py

def jql(self, script: str, params: dict[str, Any] | None = None) -> JQLResult:
    """Execute a custom JQL script.

    Args:
        script: JQL script code.
        params: Optional parameters to pass to script.

    Returns:
        JQLResult with raw query results.

    Raises:
        ConfigError: If API credentials not available.
        JQLSyntaxError: If script has syntax errors.
    """
    return self._live_query_service.jql(script=script, params=params)

event_counts ¶

event_counts(
    events: list[str],
    *,
    from_date: str,
    to_date: str,
    type: Literal["general", "unique", "average"] = "general",
    unit: Literal["day", "week", "month"] = "day",
) -> EventCountsResult

Get event counts for multiple events.

PARAMETER	DESCRIPTION
`events`	List of event names. TYPE: `list[str]`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`type`	Counting method. TYPE: `Literal['general', 'unique', 'average']` DEFAULT: `'general'`
`unit`	Time unit. TYPE: `Literal['day', 'week', 'month']` DEFAULT: `'day'`

RETURNS	DESCRIPTION
`EventCountsResult`	EventCountsResult with time-series per event.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def event_counts(
    self,
    events: list[str],
    *,
    from_date: str,
    to_date: str,
    type: Literal["general", "unique", "average"] = "general",
    unit: Literal["day", "week", "month"] = "day",
) -> EventCountsResult:
    """Get event counts for multiple events.

    Args:
        events: List of event names.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        type: Counting method.
        unit: Time unit.

    Returns:
        EventCountsResult with time-series per event.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.event_counts(
        events=events,
        from_date=from_date,
        to_date=to_date,
        type=type,
        unit=unit,
    )

property_counts ¶

property_counts(
    event: str,
    property_name: str,
    *,
    from_date: str,
    to_date: str,
    type: Literal["general", "unique", "average"] = "general",
    unit: Literal["day", "week", "month"] = "day",
    values: list[str] | None = None,
    limit: int | None = None,
) -> PropertyCountsResult

Get event counts broken down by property values.

PARAMETER	DESCRIPTION
`event`	Event name. TYPE: `str`
`property_name`	Property to break down by. TYPE: `str`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`type`	Counting method. TYPE: `Literal['general', 'unique', 'average']` DEFAULT: `'general'`
`unit`	Time unit. TYPE: `Literal['day', 'week', 'month']` DEFAULT: `'day'`
`values`	Optional list of property values to include. TYPE: `list[str] \| None` DEFAULT: `None`
`limit`	Maximum number of property values. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`PropertyCountsResult`	PropertyCountsResult with time-series per property value.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def property_counts(
    self,
    event: str,
    property_name: str,
    *,
    from_date: str,
    to_date: str,
    type: Literal["general", "unique", "average"] = "general",
    unit: Literal["day", "week", "month"] = "day",
    values: list[str] | None = None,
    limit: int | None = None,
) -> PropertyCountsResult:
    """Get event counts broken down by property values.

    Args:
        event: Event name.
        property_name: Property to break down by.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        type: Counting method.
        unit: Time unit.
        values: Optional list of property values to include.
        limit: Maximum number of property values.

    Returns:
        PropertyCountsResult with time-series per property value.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.property_counts(
        event=event,
        property_name=property_name,
        from_date=from_date,
        to_date=to_date,
        type=type,
        unit=unit,
        values=values,
        limit=limit,
    )

activity_feed ¶

activity_feed(
    distinct_ids: list[str],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
) -> ActivityFeedResult

Get activity feed for specific users.

PARAMETER	DESCRIPTION
`distinct_ids`	List of user identifiers. TYPE: `list[str]`
`from_date`	Optional start date filter. TYPE: `str \| None` DEFAULT: `None`
`to_date`	Optional end date filter. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`ActivityFeedResult`	ActivityFeedResult with user events.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def activity_feed(
    self,
    distinct_ids: list[str],
    *,
    from_date: str | None = None,
    to_date: str | None = None,
) -> ActivityFeedResult:
    """Get activity feed for specific users.

    Args:
        distinct_ids: List of user identifiers.
        from_date: Optional start date filter.
        to_date: Optional end date filter.

    Returns:
        ActivityFeedResult with user events.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.activity_feed(
        distinct_ids=distinct_ids,
        from_date=from_date,
        to_date=to_date,
    )

query_saved_report ¶

query_saved_report(
    bookmark_id: int,
    *,
    bookmark_type: Literal[
        "insights", "funnels", "retention", "flows"
    ] = "insights",
    from_date: str | None = None,
    to_date: str | None = None,
) -> SavedReportResult

Query a saved report by bookmark type.

Routes to the appropriate Mixpanel API endpoint based on bookmark_type and returns the normalized result.

PARAMETER	DESCRIPTION
`bookmark_id`	ID of saved report (from list_bookmarks or Mixpanel URL). TYPE: `int`
`bookmark_type`	Type of bookmark to query. Determines which API endpoint is called. Defaults to 'insights'. TYPE: `Literal['insights', 'funnels', 'retention', 'flows']` DEFAULT: `'insights'`
`from_date`	Start date (YYYY-MM-DD). Required for funnels, optional otherwise. TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date (YYYY-MM-DD). Required for funnels, optional otherwise. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SavedReportResult`	SavedReportResult with report data and report_type property.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	If bookmark_id is invalid or report not found.

Source code in src/mixpanel_data/workspace.py

def query_saved_report(
    self,
    bookmark_id: int,
    *,
    bookmark_type: Literal[
        "insights", "funnels", "retention", "flows"
    ] = "insights",
    from_date: str | None = None,
    to_date: str | None = None,
) -> SavedReportResult:
    """Query a saved report by bookmark type.

    Routes to the appropriate Mixpanel API endpoint based on bookmark_type
    and returns the normalized result.

    Args:
        bookmark_id: ID of saved report (from list_bookmarks or Mixpanel URL).
        bookmark_type: Type of bookmark to query. Determines which API endpoint
            is called. Defaults to 'insights'.
        from_date: Start date (YYYY-MM-DD). Required for funnels, optional otherwise.
        to_date: End date (YYYY-MM-DD). Required for funnels, optional otherwise.

    Returns:
        SavedReportResult with report data and report_type property.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: If bookmark_id is invalid or report not found.
    """
    return self._live_query_service.query_saved_report(
        bookmark_id=bookmark_id,
        bookmark_type=bookmark_type,
        from_date=from_date,
        to_date=to_date,
    )

query_saved_flows ¶

query_saved_flows(bookmark_id: int) -> FlowsResult

Query a saved Flows report.

Executes a saved Flows report by its bookmark ID, returning step data, breakdowns, and conversion rates.

PARAMETER	DESCRIPTION
`bookmark_id`	ID of saved flows report (from list_bookmarks or Mixpanel URL). TYPE: `int`

RETURNS	DESCRIPTION
`FlowsResult`	FlowsResult with steps, breakdowns, and conversion rate.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	If bookmark_id is invalid or report not found.

Source code in src/mixpanel_data/workspace.py

def query_saved_flows(self, bookmark_id: int) -> FlowsResult:
    """Query a saved Flows report.

    Executes a saved Flows report by its bookmark ID, returning
    step data, breakdowns, and conversion rates.

    Args:
        bookmark_id: ID of saved flows report (from list_bookmarks or Mixpanel URL).

    Returns:
        FlowsResult with steps, breakdowns, and conversion rate.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: If bookmark_id is invalid or report not found.
    """
    return self._live_query_service.query_saved_flows(bookmark_id=bookmark_id)

frequency ¶

frequency(
    *,
    from_date: str,
    to_date: str,
    unit: Literal["day", "week", "month"] = "day",
    addiction_unit: Literal["hour", "day"] = "hour",
    event: str | None = None,
    where: str | None = None,
) -> FrequencyResult

Analyze event frequency distribution.

PARAMETER	DESCRIPTION
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`unit`	Overall time unit. TYPE: `Literal['day', 'week', 'month']` DEFAULT: `'day'`
`addiction_unit`	Measurement granularity. TYPE: `Literal['hour', 'day']` DEFAULT: `'hour'`
`event`	Optional event filter. TYPE: `str \| None` DEFAULT: `None`
`where`	Optional WHERE clause. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`FrequencyResult`	FrequencyResult with frequency distribution.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def frequency(
    self,
    *,
    from_date: str,
    to_date: str,
    unit: Literal["day", "week", "month"] = "day",
    addiction_unit: Literal["hour", "day"] = "hour",
    event: str | None = None,
    where: str | None = None,
) -> FrequencyResult:
    """Analyze event frequency distribution.

    Args:
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        unit: Overall time unit.
        addiction_unit: Measurement granularity.
        event: Optional event filter.
        where: Optional WHERE clause.

    Returns:
        FrequencyResult with frequency distribution.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.frequency(
        from_date=from_date,
        to_date=to_date,
        unit=unit,
        addiction_unit=addiction_unit,
        event=event,
        where=where,
    )

segmentation_numeric ¶

segmentation_numeric(
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
    type: Literal["general", "unique", "average"] = "general",
) -> NumericBucketResult

Bucket events by numeric property ranges.

PARAMETER	DESCRIPTION
`event`	Event name. TYPE: `str`
`from_date`	Start date. TYPE: `str`
`to_date`	End date. TYPE: `str`
`on`	Numeric property expression. TYPE: `str`
`unit`	Time unit. TYPE: `Literal['hour', 'day']` DEFAULT: `'day'`
`where`	Optional filter. TYPE: `str \| None` DEFAULT: `None`
`type`	Counting method. TYPE: `Literal['general', 'unique', 'average']` DEFAULT: `'general'`

RETURNS	DESCRIPTION
`NumericBucketResult`	NumericBucketResult with bucketed data.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def segmentation_numeric(
    self,
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
    type: Literal["general", "unique", "average"] = "general",
) -> NumericBucketResult:
    """Bucket events by numeric property ranges.

    Args:
        event: Event name.
        from_date: Start date.
        to_date: End date.
        on: Numeric property expression.
        unit: Time unit.
        where: Optional filter.
        type: Counting method.

    Returns:
        NumericBucketResult with bucketed data.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.segmentation_numeric(
        event=event,
        from_date=from_date,
        to_date=to_date,
        on=on,
        unit=unit,
        where=where,
        type=type,
    )

segmentation_sum ¶

segmentation_sum(
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
) -> NumericSumResult

Calculate sum of numeric property over time.

PARAMETER	DESCRIPTION
`event`	Event name. TYPE: `str`
`from_date`	Start date. TYPE: `str`
`to_date`	End date. TYPE: `str`
`on`	Numeric property expression. TYPE: `str`
`unit`	Time unit. TYPE: `Literal['hour', 'day']` DEFAULT: `'day'`
`where`	Optional filter. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`NumericSumResult`	NumericSumResult with sum values per period.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def segmentation_sum(
    self,
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
) -> NumericSumResult:
    """Calculate sum of numeric property over time.

    Args:
        event: Event name.
        from_date: Start date.
        to_date: End date.
        on: Numeric property expression.
        unit: Time unit.
        where: Optional filter.

    Returns:
        NumericSumResult with sum values per period.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.segmentation_sum(
        event=event,
        from_date=from_date,
        to_date=to_date,
        on=on,
        unit=unit,
        where=where,
    )

segmentation_average ¶

segmentation_average(
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
) -> NumericAverageResult

Calculate average of numeric property over time.

PARAMETER	DESCRIPTION
`event`	Event name. TYPE: `str`
`from_date`	Start date. TYPE: `str`
`to_date`	End date. TYPE: `str`
`on`	Numeric property expression. TYPE: `str`
`unit`	Time unit. TYPE: `Literal['hour', 'day']` DEFAULT: `'day'`
`where`	Optional filter. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`NumericAverageResult`	NumericAverageResult with average values per period.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.

Source code in src/mixpanel_data/workspace.py

def segmentation_average(
    self,
    event: str,
    *,
    from_date: str,
    to_date: str,
    on: str,
    unit: Literal["hour", "day"] = "day",
    where: str | None = None,
) -> NumericAverageResult:
    """Calculate average of numeric property over time.

    Args:
        event: Event name.
        from_date: Start date.
        to_date: End date.
        on: Numeric property expression.
        unit: Time unit.
        where: Optional filter.

    Returns:
        NumericAverageResult with average values per period.

    Raises:
        ConfigError: If API credentials not available.
    """
    return self._live_query_service.segmentation_average(
        event=event,
        from_date=from_date,
        to_date=to_date,
        on=on,
        unit=unit,
        where=where,
    )

property_distribution ¶

property_distribution(
    event: str, property: str, *, from_date: str, to_date: str, limit: int = 20
) -> PropertyDistributionResult

Get distribution of values for a property.

Uses JQL to count occurrences of each property value, returning counts and percentages sorted by frequency.

PARAMETER	DESCRIPTION
`event`	Event name to analyze. TYPE: `str`
`property`	Property name to get distribution for. TYPE: `str`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`limit`	Maximum number of values to return. Default: 20. TYPE: `int` DEFAULT: `20`

RETURNS	DESCRIPTION
`PropertyDistributionResult`	PropertyDistributionResult with value counts and percentages.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Script execution error.

Example

result = ws.property_distribution(
    event="Purchase",
    property="country",
    from_date="2024-01-01",
    to_date="2024-01-31",
)
for v in result.values:
    print(f"{v.value}: {v.count} ({v.percentage:.1f}%)")

Source code in src/mixpanel_data/workspace.py

def property_distribution(
    self,
    event: str,
    property: str,
    *,
    from_date: str,
    to_date: str,
    limit: int = 20,
) -> PropertyDistributionResult:
    """Get distribution of values for a property.

    Uses JQL to count occurrences of each property value, returning
    counts and percentages sorted by frequency.

    Args:
        event: Event name to analyze.
        property: Property name to get distribution for.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        limit: Maximum number of values to return. Default: 20.

    Returns:
        PropertyDistributionResult with value counts and percentages.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Script execution error.

    Example:
        ```python
        result = ws.property_distribution(
            event="Purchase",
            property="country",
            from_date="2024-01-01",
            to_date="2024-01-31",
        )
        for v in result.values:
            print(f"{v.value}: {v.count} ({v.percentage:.1f}%)")
        ```
    """
    return self._live_query_service.property_distribution(
        event=event,
        property=property,
        from_date=from_date,
        to_date=to_date,
        limit=limit,
    )

numeric_summary ¶

numeric_summary(
    event: str,
    property: str,
    *,
    from_date: str,
    to_date: str,
    percentiles: list[int] | None = None,
) -> NumericPropertySummaryResult

Get statistical summary for a numeric property.

Uses JQL to compute count, min, max, avg, stddev, and percentiles for a numeric property.

PARAMETER	DESCRIPTION
`event`	Event name to analyze. TYPE: `str`
`property`	Numeric property name. TYPE: `str`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`percentiles`	Percentiles to compute. Default: [25, 50, 75, 90, 95, 99]. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`NumericPropertySummaryResult`	NumericPropertySummaryResult with statistics.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Script execution error or non-numeric property.

Example

result = ws.numeric_summary(
    event="Purchase",
    property="amount",
    from_date="2024-01-01",
    to_date="2024-01-31",
)
print(f"Avg: {result.avg}, Median: {result.percentiles[50]}")

Source code in src/mixpanel_data/workspace.py

def numeric_summary(
    self,
    event: str,
    property: str,
    *,
    from_date: str,
    to_date: str,
    percentiles: list[int] | None = None,
) -> NumericPropertySummaryResult:
    """Get statistical summary for a numeric property.

    Uses JQL to compute count, min, max, avg, stddev, and percentiles
    for a numeric property.

    Args:
        event: Event name to analyze.
        property: Numeric property name.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        percentiles: Percentiles to compute. Default: [25, 50, 75, 90, 95, 99].

    Returns:
        NumericPropertySummaryResult with statistics.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Script execution error or non-numeric property.

    Example:
        ```python
        result = ws.numeric_summary(
            event="Purchase",
            property="amount",
            from_date="2024-01-01",
            to_date="2024-01-31",
        )
        print(f"Avg: {result.avg}, Median: {result.percentiles[50]}")
        ```
    """
    return self._live_query_service.numeric_summary(
        event=event,
        property=property,
        from_date=from_date,
        to_date=to_date,
        percentiles=percentiles,
    )

daily_counts ¶

daily_counts(
    *, from_date: str, to_date: str, events: list[str] | None = None
) -> DailyCountsResult

Get daily event counts.

Uses JQL to count events by day, optionally filtered to specific events.

PARAMETER	DESCRIPTION
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`events`	Optional list of events to count. None = all events. TYPE: `list[str] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DailyCountsResult`	DailyCountsResult with date/event/count tuples.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Script execution error.

Example

result = ws.daily_counts(
    from_date="2024-01-01",
    to_date="2024-01-07",
    events=["Purchase", "Signup"],
)
for c in result.counts:
    print(f"{c.date} {c.event}: {c.count}")

Source code in src/mixpanel_data/workspace.py

def daily_counts(
    self,
    *,
    from_date: str,
    to_date: str,
    events: list[str] | None = None,
) -> DailyCountsResult:
    """Get daily event counts.

    Uses JQL to count events by day, optionally filtered to specific events.

    Args:
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        events: Optional list of events to count. None = all events.

    Returns:
        DailyCountsResult with date/event/count tuples.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Script execution error.

    Example:
        ```python
        result = ws.daily_counts(
            from_date="2024-01-01",
            to_date="2024-01-07",
            events=["Purchase", "Signup"],
        )
        for c in result.counts:
            print(f"{c.date} {c.event}: {c.count}")
        ```
    """
    return self._live_query_service.daily_counts(
        from_date=from_date,
        to_date=to_date,
        events=events,
    )

engagement_distribution ¶

engagement_distribution(
    *,
    from_date: str,
    to_date: str,
    events: list[str] | None = None,
    buckets: list[int] | None = None,
) -> EngagementDistributionResult

Get user engagement distribution.

Uses JQL to bucket users by their event count, showing how many users performed N events.

PARAMETER	DESCRIPTION
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`
`events`	Optional list of events to count. None = all events. TYPE: `list[str] \| None` DEFAULT: `None`
`buckets`	Bucket boundaries. Default: [1, 2, 5, 10, 25, 50, 100]. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`EngagementDistributionResult`	EngagementDistributionResult with user counts per bucket.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Script execution error.

Example

result = ws.engagement_distribution(
    from_date="2024-01-01",
    to_date="2024-01-31",
)
for b in result.buckets:
    print(f"{b.bucket_label}: {b.user_count} ({b.percentage:.1f}%)")

Source code in src/mixpanel_data/workspace.py

def engagement_distribution(
    self,
    *,
    from_date: str,
    to_date: str,
    events: list[str] | None = None,
    buckets: list[int] | None = None,
) -> EngagementDistributionResult:
    """Get user engagement distribution.

    Uses JQL to bucket users by their event count, showing how many
    users performed N events.

    Args:
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).
        events: Optional list of events to count. None = all events.
        buckets: Bucket boundaries. Default: [1, 2, 5, 10, 25, 50, 100].

    Returns:
        EngagementDistributionResult with user counts per bucket.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Script execution error.

    Example:
        ```python
        result = ws.engagement_distribution(
            from_date="2024-01-01",
            to_date="2024-01-31",
        )
        for b in result.buckets:
            print(f"{b.bucket_label}: {b.user_count} ({b.percentage:.1f}%)")
        ```
    """
    return self._live_query_service.engagement_distribution(
        from_date=from_date,
        to_date=to_date,
        events=events,
        buckets=buckets,
    )

property_coverage ¶

property_coverage(
    event: str, properties: list[str], *, from_date: str, to_date: str
) -> PropertyCoverageResult

Get property coverage statistics.

Uses JQL to count how often each property is defined (non-null) vs undefined for the specified event.

PARAMETER	DESCRIPTION
`event`	Event name to analyze. TYPE: `str`
`properties`	List of property names to check. TYPE: `list[str]`
`from_date`	Start date (YYYY-MM-DD). TYPE: `str`
`to_date`	End date (YYYY-MM-DD). TYPE: `str`

RETURNS	DESCRIPTION
`PropertyCoverageResult`	PropertyCoverageResult with coverage statistics per property.

RAISES	DESCRIPTION
`ConfigError`	If API credentials not available.
`QueryError`	Script execution error.

Example

result = ws.property_coverage(
    event="Purchase",
    properties=["coupon_code", "referrer"],
    from_date="2024-01-01",
    to_date="2024-01-31",
)
for c in result.coverage:
    print(f"{c.property}: {c.coverage_percentage:.1f}% defined")

Source code in src/mixpanel_data/workspace.py

def property_coverage(
    self,
    event: str,
    properties: list[str],
    *,
    from_date: str,
    to_date: str,
) -> PropertyCoverageResult:
    """Get property coverage statistics.

    Uses JQL to count how often each property is defined (non-null)
    vs undefined for the specified event.

    Args:
        event: Event name to analyze.
        properties: List of property names to check.
        from_date: Start date (YYYY-MM-DD).
        to_date: End date (YYYY-MM-DD).

    Returns:
        PropertyCoverageResult with coverage statistics per property.

    Raises:
        ConfigError: If API credentials not available.
        QueryError: Script execution error.

    Example:
        ```python
        result = ws.property_coverage(
            event="Purchase",
            properties=["coupon_code", "referrer"],
            from_date="2024-01-01",
            to_date="2024-01-31",
        )
        for c in result.coverage:
            print(f"{c.property}: {c.coverage_percentage:.1f}% defined")
        ```
    """
    return self._live_query_service.property_coverage(
        event=event,
        properties=properties,
        from_date=from_date,
        to_date=to_date,
    )

list_dashboards ¶

list_dashboards(*, ids: list[int] | None = None) -> list[Dashboard]

List dashboards for the current project/workspace.

Retrieves all dashboards visible to the authenticated user, optionally filtered by specific IDs.

PARAMETER	DESCRIPTION
`ids`	Optional list of dashboard IDs to filter by. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[Dashboard]`	List of `Dashboard` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboards = ws.list_dashboards()
for d in dashboards:
    print(f"{d.title} (id={d.id})")

Source code in src/mixpanel_data/workspace.py

def list_dashboards(self, *, ids: list[int] | None = None) -> list[Dashboard]:
    """List dashboards for the current project/workspace.

    Retrieves all dashboards visible to the authenticated user,
    optionally filtered by specific IDs.

    Args:
        ids: Optional list of dashboard IDs to filter by.

    Returns:
        List of ``Dashboard`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboards = ws.list_dashboards()
        for d in dashboards:
            print(f"{d.title} (id={d.id})")
        ```
    """
    client = self._require_api_client()
    raw = client.list_dashboards(ids=ids)
    return [Dashboard.model_validate(d) for d in raw]

create_dashboard ¶

create_dashboard(params: CreateDashboardParams) -> Dashboard

Create a new dashboard.

PARAMETER	DESCRIPTION
`params`	Dashboard creation parameters. TYPE: `CreateDashboardParams`

RETURNS	DESCRIPTION
`Dashboard`	The newly created `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400, 422).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.create_dashboard(
    CreateDashboardParams(title="Q1 Metrics")
)

Source code in src/mixpanel_data/workspace.py

def create_dashboard(self, params: CreateDashboardParams) -> Dashboard:
    """Create a new dashboard.

    Args:
        params: Dashboard creation parameters.

    Returns:
        The newly created ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400, 422).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.create_dashboard(
            CreateDashboardParams(title="Q1 Metrics")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.create_dashboard(params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_dashboard",
        )
    return Dashboard.model_validate(raw)

get_dashboard ¶

get_dashboard(dashboard_id: int) -> Dashboard

Get a single dashboard by ID.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RETURNS	DESCRIPTION
`Dashboard`	The `Dashboard` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.get_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def get_dashboard(self, dashboard_id: int) -> Dashboard:
    """Get a single dashboard by ID.

    Args:
        dashboard_id: Dashboard identifier.

    Returns:
        The ``Dashboard`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.get_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    raw = client.get_dashboard(dashboard_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_dashboard",
        )
    return Dashboard.model_validate(raw)

update_dashboard ¶

update_dashboard(dashboard_id: int, params: UpdateDashboardParams) -> Dashboard

Update an existing dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`
`params`	Fields to update. TYPE: `UpdateDashboardParams`

RETURNS	DESCRIPTION
`Dashboard`	The updated `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found or invalid params (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.update_dashboard(
    12345, UpdateDashboardParams(title="New Title")
)

Source code in src/mixpanel_data/workspace.py

def update_dashboard(
    self, dashboard_id: int, params: UpdateDashboardParams
) -> Dashboard:
    """Update an existing dashboard.

    Args:
        dashboard_id: Dashboard identifier.
        params: Fields to update.

    Returns:
        The updated ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found or invalid params (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.update_dashboard(
            12345, UpdateDashboardParams(title="New Title")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.update_dashboard(
        dashboard_id, params.model_dump(exclude_none=True)
    )
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for update_dashboard",
        )
    return Dashboard.model_validate(raw)

delete_dashboard ¶

delete_dashboard(dashboard_id: int) -> None

Delete a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def delete_dashboard(self, dashboard_id: int) -> None:
    """Delete a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    client.delete_dashboard(dashboard_id)

bulk_delete_dashboards ¶

bulk_delete_dashboards(ids: list[int]) -> None

Delete multiple dashboards.

PARAMETER	DESCRIPTION
`ids`	List of dashboard IDs to delete. TYPE: `list[int]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	One or more IDs not found (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_delete_dashboards([1, 2, 3])

Source code in src/mixpanel_data/workspace.py

def bulk_delete_dashboards(self, ids: list[int]) -> None:
    """Delete multiple dashboards.

    Args:
        ids: List of dashboard IDs to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: One or more IDs not found (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_delete_dashboards([1, 2, 3])
        ```
    """
    client = self._require_api_client()
    client.bulk_delete_dashboards(ids)

favorite_dashboard ¶

favorite_dashboard(dashboard_id: int) -> None

Favorite a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.favorite_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def favorite_dashboard(self, dashboard_id: int) -> None:
    """Favorite a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.favorite_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    client.favorite_dashboard(dashboard_id)

unfavorite_dashboard ¶

unfavorite_dashboard(dashboard_id: int) -> None

Unfavorite a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.unfavorite_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def unfavorite_dashboard(self, dashboard_id: int) -> None:
    """Unfavorite a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.unfavorite_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    client.unfavorite_dashboard(dashboard_id)

pin_dashboard ¶

pin_dashboard(dashboard_id: int) -> None

Pin a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.pin_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def pin_dashboard(self, dashboard_id: int) -> None:
    """Pin a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.pin_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    client.pin_dashboard(dashboard_id)

unpin_dashboard ¶

unpin_dashboard(dashboard_id: int) -> None

Unpin a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.unpin_dashboard(12345)

Source code in src/mixpanel_data/workspace.py

def unpin_dashboard(self, dashboard_id: int) -> None:
    """Unpin a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.unpin_dashboard(12345)
        ```
    """
    client = self._require_api_client()
    client.unpin_dashboard(dashboard_id)

add_report_to_dashboard ¶

add_report_to_dashboard(dashboard_id: int, bookmark_id: int) -> Dashboard

Add a report to a dashboard.

Clones the specified bookmark onto the dashboard. The cloned report appears as a new card in the dashboard layout.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`
`bookmark_id`	Bookmark/report identifier to add. TYPE: `int`

RETURNS	DESCRIPTION
`Dashboard`	The updated `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard or bookmark not found (404).
`ServerError`	Server-side errors (5xx).
`MixpanelDataError`	If the API response is not a valid dashboard dict.

Example

ws = Workspace()
updated = ws.add_report_to_dashboard(12345, 42)

Source code in src/mixpanel_data/workspace.py

def add_report_to_dashboard(self, dashboard_id: int, bookmark_id: int) -> Dashboard:
    """Add a report to a dashboard.

    Clones the specified bookmark onto the dashboard. The cloned report
    appears as a new card in the dashboard layout.

    Args:
        dashboard_id: Dashboard identifier.
        bookmark_id: Bookmark/report identifier to add.

    Returns:
        The updated ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard or bookmark not found (404).
        ServerError: Server-side errors (5xx).
        MixpanelDataError: If the API response is not a valid dashboard dict.

    Example:
        ```python
        ws = Workspace()
        updated = ws.add_report_to_dashboard(12345, 42)
        ```
    """
    client = self._require_api_client()
    raw = client.add_report_to_dashboard(dashboard_id, bookmark_id)
    if not isinstance(raw, dict) or "id" not in raw:
        raise MixpanelDataError(
            "Unexpected response from add_report_to_dashboard: "
            f"expected dashboard dict with 'id', got {raw!r}",
        )
    return Dashboard.model_validate(raw)

remove_report_from_dashboard ¶

remove_report_from_dashboard(dashboard_id: int, bookmark_id: int) -> Dashboard

Remove a report from a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`
`bookmark_id`	Bookmark/report identifier to remove. TYPE: `int`

RETURNS	DESCRIPTION
`Dashboard`	The updated `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard or bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.remove_report_from_dashboard(12345, 42)

Source code in src/mixpanel_data/workspace.py

def remove_report_from_dashboard(
    self, dashboard_id: int, bookmark_id: int
) -> Dashboard:
    """Remove a report from a dashboard.

    Args:
        dashboard_id: Dashboard identifier.
        bookmark_id: Bookmark/report identifier to remove.

    Returns:
        The updated ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard or bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.remove_report_from_dashboard(12345, 42)
        ```
    """
    client = self._require_api_client()
    raw = client.remove_report_from_dashboard(dashboard_id, bookmark_id)
    return Dashboard.model_validate(raw)

list_blueprint_templates ¶

list_blueprint_templates(
    *, include_reports: bool = False
) -> list[BlueprintTemplate]

List available dashboard blueprint templates.

PARAMETER	DESCRIPTION
`include_reports`	Whether to include report details. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`list[BlueprintTemplate]`	List of `BlueprintTemplate` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
templates = ws.list_blueprint_templates()

Source code in src/mixpanel_data/workspace.py

def list_blueprint_templates(
    self, *, include_reports: bool = False
) -> list[BlueprintTemplate]:
    """List available dashboard blueprint templates.

    Args:
        include_reports: Whether to include report details.

    Returns:
        List of ``BlueprintTemplate`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        templates = ws.list_blueprint_templates()
        ```
    """
    client = self._require_api_client()
    raw = client.list_blueprint_templates(include_reports=include_reports)
    return [BlueprintTemplate.model_validate(t) for t in raw]

create_blueprint ¶

create_blueprint(template_type: str) -> Dashboard

Create a dashboard from a blueprint template.

PARAMETER	DESCRIPTION
`template_type`	Blueprint template type identifier. TYPE: `str`

RETURNS	DESCRIPTION
`Dashboard`	The newly created `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid template type (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.create_blueprint("onboarding")

Source code in src/mixpanel_data/workspace.py

def create_blueprint(self, template_type: str) -> Dashboard:
    """Create a dashboard from a blueprint template.

    Args:
        template_type: Blueprint template type identifier.

    Returns:
        The newly created ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid template type (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.create_blueprint("onboarding")
        ```
    """
    client = self._require_api_client()
    raw = client.create_blueprint(template_type)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_blueprint",
        )
    return Dashboard.model_validate(raw)

get_blueprint_config ¶

get_blueprint_config(dashboard_id: int) -> BlueprintConfig

Get the blueprint configuration for a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RETURNS	DESCRIPTION
`BlueprintConfig`	`BlueprintConfig` with template variables.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
config = ws.get_blueprint_config(12345)

Source code in src/mixpanel_data/workspace.py

def get_blueprint_config(self, dashboard_id: int) -> BlueprintConfig:
    """Get the blueprint configuration for a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Returns:
        ``BlueprintConfig`` with template variables.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        config = ws.get_blueprint_config(12345)
        ```
    """
    client = self._require_api_client()
    raw = client.get_blueprint_config(dashboard_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_blueprint_config",
        )
    return BlueprintConfig.model_validate(raw)

update_blueprint_cohorts ¶

update_blueprint_cohorts(cohorts: list[dict[str, Any]]) -> None

Update cohorts for blueprint configuration.

PARAMETER	DESCRIPTION
`cohorts`	List of cohort configuration dicts. TYPE: `list[dict[str, Any]]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid cohort configuration (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.update_blueprint_cohorts([{"id": 1, "name": "Test"}])

Source code in src/mixpanel_data/workspace.py

def update_blueprint_cohorts(self, cohorts: list[dict[str, Any]]) -> None:
    """Update cohorts for blueprint configuration.

    Args:
        cohorts: List of cohort configuration dicts.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid cohort configuration (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.update_blueprint_cohorts([{"id": 1, "name": "Test"}])
        ```
    """
    client = self._require_api_client()
    client.update_blueprint_cohorts(cohorts)

finalize_blueprint ¶

finalize_blueprint(params: BlueprintFinishParams) -> Dashboard

Finalize a blueprint dashboard with cards.

PARAMETER	DESCRIPTION
`params`	Blueprint finalization parameters. TYPE: `BlueprintFinishParams`

RETURNS	DESCRIPTION
`Dashboard`	The finalized `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.finalize_blueprint(
    BlueprintFinishParams(
        dashboard_id=1,
        cards=[BlueprintCard(card_type="report", bookmark_id=42)],
    )
)

Source code in src/mixpanel_data/workspace.py

def finalize_blueprint(self, params: BlueprintFinishParams) -> Dashboard:
    """Finalize a blueprint dashboard with cards.

    Args:
        params: Blueprint finalization parameters.

    Returns:
        The finalized ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.finalize_blueprint(
            BlueprintFinishParams(
                dashboard_id=1,
                cards=[BlueprintCard(card_type="report", bookmark_id=42)],
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True)
    raw = client.finalize_blueprint(body)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for finalize_blueprint",
        )
    return Dashboard.model_validate(raw)

create_rca_dashboard ¶

create_rca_dashboard(params: CreateRcaDashboardParams) -> Dashboard

Create an RCA (Root Cause Analysis) dashboard.

PARAMETER	DESCRIPTION
`params`	RCA dashboard parameters. TYPE: `CreateRcaDashboardParams`

RETURNS	DESCRIPTION
`Dashboard`	The newly created `Dashboard`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.create_rca_dashboard(
    CreateRcaDashboardParams(
        rca_source_id=42,
        rca_source_data=RcaSourceData(source_type="anomaly"),
    )
)

Source code in src/mixpanel_data/workspace.py

def create_rca_dashboard(self, params: CreateRcaDashboardParams) -> Dashboard:
    """Create an RCA (Root Cause Analysis) dashboard.

    Args:
        params: RCA dashboard parameters.

    Returns:
        The newly created ``Dashboard``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.create_rca_dashboard(
            CreateRcaDashboardParams(
                rca_source_id=42,
                rca_source_data=RcaSourceData(source_type="anomaly"),
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True)
    raw = client.create_rca_dashboard(body)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_rca_dashboard",
        )
    return Dashboard.model_validate(raw)

get_bookmark_dashboard_ids ¶

get_bookmark_dashboard_ids(bookmark_id: int) -> list[int]

Get dashboard IDs containing a bookmark/report.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`

RETURNS	DESCRIPTION
`list[int]`	List of dashboard IDs.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dash_ids = ws.get_bookmark_dashboard_ids(42)

Source code in src/mixpanel_data/workspace.py

def get_bookmark_dashboard_ids(self, bookmark_id: int) -> list[int]:
    """Get dashboard IDs containing a bookmark/report.

    Args:
        bookmark_id: Bookmark identifier.

    Returns:
        List of dashboard IDs.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dash_ids = ws.get_bookmark_dashboard_ids(42)
        ```
    """
    client = self._require_api_client()
    return client.get_bookmark_dashboard_ids(bookmark_id)

get_dashboard_erf ¶

get_dashboard_erf(dashboard_id: int) -> dict[str, Any]

Get ERF data for a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`

RETURNS	DESCRIPTION
`dict[str, Any]`	Dict with ERF metrics data.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
erf = ws.get_dashboard_erf(12345)

Source code in src/mixpanel_data/workspace.py

def get_dashboard_erf(self, dashboard_id: int) -> dict[str, Any]:
    """Get ERF data for a dashboard.

    Args:
        dashboard_id: Dashboard identifier.

    Returns:
        Dict with ERF metrics data.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        erf = ws.get_dashboard_erf(12345)
        ```
    """
    client = self._require_api_client()
    return client.get_dashboard_erf(dashboard_id)

update_report_link ¶

update_report_link(
    dashboard_id: int, report_link_id: int, params: UpdateReportLinkParams
) -> None

Update a report link on a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`
`report_link_id`	Report link identifier. TYPE: `int`
`params`	Update parameters. TYPE: `UpdateReportLinkParams`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard or link not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.update_report_link(
    12345, 42, UpdateReportLinkParams(link_type="embedded")
)

Source code in src/mixpanel_data/workspace.py

def update_report_link(
    self,
    dashboard_id: int,
    report_link_id: int,
    params: UpdateReportLinkParams,
) -> None:
    """Update a report link on a dashboard.

    Args:
        dashboard_id: Dashboard identifier.
        report_link_id: Report link identifier.
        params: Update parameters.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard or link not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.update_report_link(
            12345, 42, UpdateReportLinkParams(link_type="embedded")
        )
        ```
    """
    client = self._require_api_client()
    client.update_report_link(
        dashboard_id,
        report_link_id,
        params.model_dump(by_alias=True, exclude_none=True),
    )

update_text_card ¶

update_text_card(
    dashboard_id: int, text_card_id: int, params: UpdateTextCardParams
) -> None

Update a text card on a dashboard.

PARAMETER	DESCRIPTION
`dashboard_id`	Dashboard identifier. TYPE: `int`
`text_card_id`	Text card identifier. TYPE: `int`
`params`	Update parameters. TYPE: `UpdateTextCardParams`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Dashboard or text card not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.update_text_card(
    12345, 99, UpdateTextCardParams(markdown="# Hello")
)

Source code in src/mixpanel_data/workspace.py

def update_text_card(
    self,
    dashboard_id: int,
    text_card_id: int,
    params: UpdateTextCardParams,
) -> None:
    """Update a text card on a dashboard.

    Args:
        dashboard_id: Dashboard identifier.
        text_card_id: Text card identifier.
        params: Update parameters.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Dashboard or text card not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.update_text_card(
            12345, 99, UpdateTextCardParams(markdown="# Hello")
        )
        ```
    """
    client = self._require_api_client()
    client.update_text_card(
        dashboard_id,
        text_card_id,
        params.model_dump(exclude_none=True),
    )

list_bookmarks_v2 ¶

list_bookmarks_v2(
    *, bookmark_type: BookmarkType | None = None, ids: list[int] | None = None
) -> list[Bookmark]

List bookmarks/reports via the App API v2 endpoint.

PARAMETER	DESCRIPTION
`bookmark_type`	Optional report type filter (e.g., `"funnels"`). TYPE: `BookmarkType \| None` DEFAULT: `None`
`ids`	Optional list of bookmark IDs to filter by. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[Bookmark]`	List of `Bookmark` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
reports = ws.list_bookmarks_v2(bookmark_type="funnels")
for r in reports:
    print(f"{r.name} ({r.bookmark_type})")

Source code in src/mixpanel_data/workspace.py

def list_bookmarks_v2(
    self,
    *,
    bookmark_type: BookmarkType | None = None,
    ids: list[int] | None = None,
) -> list[Bookmark]:
    """List bookmarks/reports via the App API v2 endpoint.

    Args:
        bookmark_type: Optional report type filter (e.g., ``"funnels"``).
        ids: Optional list of bookmark IDs to filter by.

    Returns:
        List of ``Bookmark`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        reports = ws.list_bookmarks_v2(bookmark_type="funnels")
        for r in reports:
            print(f"{r.name} ({r.bookmark_type})")
        ```
    """
    client = self._require_api_client()
    raw = client.list_bookmarks_v2(bookmark_type=bookmark_type, ids=ids)
    return [Bookmark.model_validate(b) for b in raw]

create_bookmark ¶

create_bookmark(params: CreateBookmarkParams) -> Bookmark

Create a new bookmark (saved report).

PARAMETER	DESCRIPTION
`params`	Bookmark creation parameters. `dashboard_id` is required by the Mixpanel v2 API. TYPE: `CreateBookmarkParams`

RETURNS	DESCRIPTION
`Bookmark`	The newly created `Bookmark`.

RAISES	DESCRIPTION
`MixpanelDataError`	If `params.dashboard_id` is `None` (required by the Mixpanel v2 API).
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400, 422).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dashboard = ws.create_dashboard(
    CreateDashboardParams(title="My Dashboard")
)
report = ws.create_bookmark(CreateBookmarkParams(
    name="Signup Funnel",
    bookmark_type="funnels",
    params={"events": [{"event": "Signup"}]},
    dashboard_id=dashboard.id,
))

Source code in src/mixpanel_data/workspace.py

def create_bookmark(self, params: CreateBookmarkParams) -> Bookmark:
    """Create a new bookmark (saved report).

    Args:
        params: Bookmark creation parameters.  ``dashboard_id``
            is required by the Mixpanel v2 API.

    Returns:
        The newly created ``Bookmark``.

    Raises:
        MixpanelDataError: If ``params.dashboard_id`` is ``None``
            (required by the Mixpanel v2 API).
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400, 422).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dashboard = ws.create_dashboard(
            CreateDashboardParams(title="My Dashboard")
        )
        report = ws.create_bookmark(CreateBookmarkParams(
            name="Signup Funnel",
            bookmark_type="funnels",
            params={"events": [{"event": "Signup"}]},
            dashboard_id=dashboard.id,
        ))
        ```
    """
    if params.dashboard_id is None:
        raise MixpanelDataError(
            "dashboard_id is required when creating a bookmark. "
            "The Mixpanel v2 API requires every bookmark to be "
            "associated with a dashboard. Create a dashboard first "
            "with create_dashboard(), then pass its ID here.",
        )

    client = self._require_api_client()
    raw = client.create_bookmark(
        params.model_dump(by_alias=True, exclude_none=True)
    )
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_bookmark",
        )
    bookmark = Bookmark.model_validate(raw)

    # The v2 create endpoint associates the bookmark with the
    # dashboard in the database, but does NOT add it to the
    # dashboard's visual layout — that requires a separate
    # PATCH call.
    self.add_report_to_dashboard(params.dashboard_id, bookmark.id)

    return bookmark

get_bookmark ¶

get_bookmark(bookmark_id: int) -> Bookmark

Get a single bookmark by ID.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`

RETURNS	DESCRIPTION
`Bookmark`	The `Bookmark` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
report = ws.get_bookmark(12345)

Source code in src/mixpanel_data/workspace.py

def get_bookmark(self, bookmark_id: int) -> Bookmark:
    """Get a single bookmark by ID.

    Args:
        bookmark_id: Bookmark identifier.

    Returns:
        The ``Bookmark`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        report = ws.get_bookmark(12345)
        ```
    """
    client = self._require_api_client()
    raw = client.get_bookmark(bookmark_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_bookmark",
        )
    return Bookmark.model_validate(raw)

update_bookmark ¶

update_bookmark(bookmark_id: int, params: UpdateBookmarkParams) -> Bookmark

Update an existing bookmark.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`
`params`	Fields to update. TYPE: `UpdateBookmarkParams`

RETURNS	DESCRIPTION
`Bookmark`	The updated `Bookmark`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found or invalid params (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.update_bookmark(
    12345, UpdateBookmarkParams(name="Renamed")
)

Source code in src/mixpanel_data/workspace.py

def update_bookmark(
    self, bookmark_id: int, params: UpdateBookmarkParams
) -> Bookmark:
    """Update an existing bookmark.

    Args:
        bookmark_id: Bookmark identifier.
        params: Fields to update.

    Returns:
        The updated ``Bookmark``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found or invalid params (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.update_bookmark(
            12345, UpdateBookmarkParams(name="Renamed")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.update_bookmark(bookmark_id, params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for update_bookmark",
        )
    return Bookmark.model_validate(raw)

delete_bookmark ¶

delete_bookmark(bookmark_id: int) -> None

Delete a bookmark.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_bookmark(12345)

Source code in src/mixpanel_data/workspace.py

def delete_bookmark(self, bookmark_id: int) -> None:
    """Delete a bookmark.

    Args:
        bookmark_id: Bookmark identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_bookmark(12345)
        ```
    """
    client = self._require_api_client()
    client.delete_bookmark(bookmark_id)

bulk_delete_bookmarks ¶

bulk_delete_bookmarks(ids: list[int]) -> None

Delete multiple bookmarks.

PARAMETER	DESCRIPTION
`ids`	List of bookmark IDs to delete. TYPE: `list[int]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	One or more IDs not found (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_delete_bookmarks([1, 2, 3])

Source code in src/mixpanel_data/workspace.py

def bulk_delete_bookmarks(self, ids: list[int]) -> None:
    """Delete multiple bookmarks.

    Args:
        ids: List of bookmark IDs to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: One or more IDs not found (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_delete_bookmarks([1, 2, 3])
        ```
    """
    client = self._require_api_client()
    client.bulk_delete_bookmarks(ids)

bulk_update_bookmarks ¶

bulk_update_bookmarks(entries: list[BulkUpdateBookmarkEntry]) -> None

Update multiple bookmarks.

PARAMETER	DESCRIPTION
`entries`	List of bookmark update entries. TYPE: `list[BulkUpdateBookmarkEntry]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid entries or IDs not found (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_update_bookmarks([
    BulkUpdateBookmarkEntry(id=1, name="Renamed"),
])

Source code in src/mixpanel_data/workspace.py

def bulk_update_bookmarks(self, entries: list[BulkUpdateBookmarkEntry]) -> None:
    """Update multiple bookmarks.

    Args:
        entries: List of bookmark update entries.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid entries or IDs not found (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_update_bookmarks([
            BulkUpdateBookmarkEntry(id=1, name="Renamed"),
        ])
        ```
    """
    client = self._require_api_client()
    client.bulk_update_bookmarks([e.model_dump(exclude_none=True) for e in entries])

bookmark_linked_dashboard_ids ¶

bookmark_linked_dashboard_ids(bookmark_id: int) -> list[int]

Get dashboard IDs linked to a bookmark.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`

RETURNS	DESCRIPTION
`list[int]`	List of dashboard IDs.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dash_ids = ws.bookmark_linked_dashboard_ids(42)

Source code in src/mixpanel_data/workspace.py

def bookmark_linked_dashboard_ids(self, bookmark_id: int) -> list[int]:
    """Get dashboard IDs linked to a bookmark.

    Args:
        bookmark_id: Bookmark identifier.

    Returns:
        List of dashboard IDs.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dash_ids = ws.bookmark_linked_dashboard_ids(42)
        ```
    """
    client = self._require_api_client()
    return client.bookmark_linked_dashboard_ids(bookmark_id)

get_bookmark_history ¶

get_bookmark_history(
    bookmark_id: int, *, cursor: str | None = None, page_size: int | None = None
) -> BookmarkHistoryResponse

Get the change history for a bookmark.

PARAMETER	DESCRIPTION
`bookmark_id`	Bookmark identifier. TYPE: `int`
`cursor`	Opaque pagination cursor. TYPE: `str \| None` DEFAULT: `None`
`page_size`	Maximum entries per page. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`BookmarkHistoryResponse`	`BookmarkHistoryResponse` with results and pagination.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Bookmark not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
history = ws.get_bookmark_history(12345, page_size=10)

Source code in src/mixpanel_data/workspace.py

def get_bookmark_history(
    self,
    bookmark_id: int,
    *,
    cursor: str | None = None,
    page_size: int | None = None,
) -> BookmarkHistoryResponse:
    """Get the change history for a bookmark.

    Args:
        bookmark_id: Bookmark identifier.
        cursor: Opaque pagination cursor.
        page_size: Maximum entries per page.

    Returns:
        ``BookmarkHistoryResponse`` with results and pagination.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Bookmark not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        history = ws.get_bookmark_history(12345, page_size=10)
        ```
    """
    client = self._require_api_client()
    raw = client.get_bookmark_history(
        bookmark_id, cursor=cursor, page_size=page_size
    )
    return BookmarkHistoryResponse.model_validate(raw)

list_cohorts_full ¶

list_cohorts_full(
    *, data_group_id: str | None = None, ids: list[int] | None = None
) -> list[Cohort]

List cohorts via the App API (full detail).

Unlike cohorts() which uses the discovery endpoint, this method uses the App API and returns full Cohort objects with all metadata.

PARAMETER	DESCRIPTION
`data_group_id`	Optional data group filter. TYPE: `str \| None` DEFAULT: `None`
`ids`	Optional list of cohort IDs to filter by. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[Cohort]`	List of `Cohort` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
cohorts = ws.list_cohorts_full()
for c in cohorts:
    print(f"{c.name} ({c.count} users)")

Source code in src/mixpanel_data/workspace.py

def list_cohorts_full(
    self,
    *,
    data_group_id: str | None = None,
    ids: list[int] | None = None,
) -> list[Cohort]:
    """List cohorts via the App API (full detail).

    Unlike ``cohorts()`` which uses the discovery endpoint, this method
    uses the App API and returns full ``Cohort`` objects with all metadata.

    Args:
        data_group_id: Optional data group filter.
        ids: Optional list of cohort IDs to filter by.

    Returns:
        List of ``Cohort`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        cohorts = ws.list_cohorts_full()
        for c in cohorts:
            print(f"{c.name} ({c.count} users)")
        ```
    """
    client = self._require_api_client()
    raw = client.list_cohorts_app(data_group_id=data_group_id, ids=ids)
    return [Cohort.model_validate(c) for c in raw]

get_cohort ¶

get_cohort(cohort_id: int) -> Cohort

Get a single cohort by ID via the App API.

PARAMETER	DESCRIPTION
`cohort_id`	Cohort identifier. TYPE: `int`

RETURNS	DESCRIPTION
`Cohort`	The `Cohort` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Cohort not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
cohort = ws.get_cohort(12345)

Source code in src/mixpanel_data/workspace.py

def get_cohort(self, cohort_id: int) -> Cohort:
    """Get a single cohort by ID via the App API.

    Args:
        cohort_id: Cohort identifier.

    Returns:
        The ``Cohort`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Cohort not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        cohort = ws.get_cohort(12345)
        ```
    """
    client = self._require_api_client()
    raw = client.get_cohort(cohort_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_cohort",
        )
    return Cohort.model_validate(raw)

create_cohort ¶

create_cohort(params: CreateCohortParams) -> Cohort

Create a new cohort.

PARAMETER	DESCRIPTION
`params`	Cohort creation parameters. TYPE: `CreateCohortParams`

RETURNS	DESCRIPTION
`Cohort`	The newly created `Cohort`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
cohort = ws.create_cohort(
    CreateCohortParams(name="Power Users")
)

Source code in src/mixpanel_data/workspace.py

def create_cohort(self, params: CreateCohortParams) -> Cohort:
    """Create a new cohort.

    Args:
        params: Cohort creation parameters.

    Returns:
        The newly created ``Cohort``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        cohort = ws.create_cohort(
            CreateCohortParams(name="Power Users")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.create_cohort(params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_cohort",
        )
    return Cohort.model_validate(raw)

update_cohort ¶

update_cohort(cohort_id: int, params: UpdateCohortParams) -> Cohort

Update an existing cohort.

PARAMETER	DESCRIPTION
`cohort_id`	Cohort identifier. TYPE: `int`
`params`	Fields to update. TYPE: `UpdateCohortParams`

RETURNS	DESCRIPTION
`Cohort`	The updated `Cohort`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Cohort not found or invalid params (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.update_cohort(
    12345, UpdateCohortParams(name="Renamed")
)

Source code in src/mixpanel_data/workspace.py

def update_cohort(self, cohort_id: int, params: UpdateCohortParams) -> Cohort:
    """Update an existing cohort.

    Args:
        cohort_id: Cohort identifier.
        params: Fields to update.

    Returns:
        The updated ``Cohort``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Cohort not found or invalid params (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.update_cohort(
            12345, UpdateCohortParams(name="Renamed")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.update_cohort(cohort_id, params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for update_cohort",
        )
    return Cohort.model_validate(raw)

delete_cohort ¶

delete_cohort(cohort_id: int) -> None

Delete a cohort.

PARAMETER	DESCRIPTION
`cohort_id`	Cohort identifier. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Cohort not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_cohort(12345)

Source code in src/mixpanel_data/workspace.py

def delete_cohort(self, cohort_id: int) -> None:
    """Delete a cohort.

    Args:
        cohort_id: Cohort identifier.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Cohort not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_cohort(12345)
        ```
    """
    client = self._require_api_client()
    client.delete_cohort(cohort_id)

bulk_delete_cohorts ¶

bulk_delete_cohorts(ids: list[int]) -> None

Delete multiple cohorts.

PARAMETER	DESCRIPTION
`ids`	List of cohort IDs to delete. TYPE: `list[int]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	One or more IDs not found (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_delete_cohorts([1, 2, 3])

Source code in src/mixpanel_data/workspace.py

def bulk_delete_cohorts(self, ids: list[int]) -> None:
    """Delete multiple cohorts.

    Args:
        ids: List of cohort IDs to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: One or more IDs not found (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_delete_cohorts([1, 2, 3])
        ```
    """
    client = self._require_api_client()
    client.bulk_delete_cohorts(ids)

bulk_update_cohorts ¶

bulk_update_cohorts(entries: list[BulkUpdateCohortEntry]) -> None

Update multiple cohorts.

PARAMETER	DESCRIPTION
`entries`	List of cohort update entries. TYPE: `list[BulkUpdateCohortEntry]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid entries or IDs not found (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_update_cohorts([
    BulkUpdateCohortEntry(id=1, name="Renamed"),
])

Source code in src/mixpanel_data/workspace.py

def bulk_update_cohorts(self, entries: list[BulkUpdateCohortEntry]) -> None:
    """Update multiple cohorts.

    Args:
        entries: List of cohort update entries.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid entries or IDs not found (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_update_cohorts([
            BulkUpdateCohortEntry(id=1, name="Renamed"),
        ])
        ```
    """
    client = self._require_api_client()
    client.bulk_update_cohorts([e.model_dump(exclude_none=True) for e in entries])

list_feature_flags ¶

list_feature_flags(*, include_archived: bool = False) -> list[FeatureFlag]

List feature flags for the current project/workspace.

PARAMETER	DESCRIPTION
`include_archived`	When True, include archived flags. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`list[FeatureFlag]`	List of `FeatureFlag` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
flags = ws.list_feature_flags()
for f in flags:
    print(f"{f.name} ({f.key})")

Source code in src/mixpanel_data/workspace.py

def list_feature_flags(
    self, *, include_archived: bool = False
) -> list[FeatureFlag]:
    """List feature flags for the current project/workspace.

    Args:
        include_archived: When True, include archived flags.

    Returns:
        List of ``FeatureFlag`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        flags = ws.list_feature_flags()
        for f in flags:
            print(f"{f.name} ({f.key})")
        ```
    """
    client = self._require_api_client()
    raw = client.list_feature_flags(include_archived=include_archived)
    return [FeatureFlag.model_validate(f) for f in raw]

create_feature_flag ¶

create_feature_flag(params: CreateFeatureFlagParams) -> FeatureFlag

Create a new feature flag.

PARAMETER	DESCRIPTION
`params`	Flag creation parameters. TYPE: `CreateFeatureFlagParams`

RETURNS	DESCRIPTION
`FeatureFlag`	The newly created `FeatureFlag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Duplicate key or invalid parameters (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
flag = ws.create_feature_flag(
    CreateFeatureFlagParams(name="Dark Mode", key="dark_mode")
)

Source code in src/mixpanel_data/workspace.py

def create_feature_flag(self, params: CreateFeatureFlagParams) -> FeatureFlag:
    """Create a new feature flag.

    Args:
        params: Flag creation parameters.

    Returns:
        The newly created ``FeatureFlag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Duplicate key or invalid parameters (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        flag = ws.create_feature_flag(
            CreateFeatureFlagParams(name="Dark Mode", key="dark_mode")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.create_feature_flag(params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_feature_flag",
        )
    return FeatureFlag.model_validate(raw)

get_feature_flag ¶

get_feature_flag(flag_id: str) -> FeatureFlag

Get a single feature flag by ID.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`

RETURNS	DESCRIPTION
`FeatureFlag`	The `FeatureFlag` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
flag = ws.get_feature_flag("abc-123-uuid")

Source code in src/mixpanel_data/workspace.py

def get_feature_flag(self, flag_id: str) -> FeatureFlag:
    """Get a single feature flag by ID.

    Args:
        flag_id: Feature flag UUID.

    Returns:
        The ``FeatureFlag`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        flag = ws.get_feature_flag("abc-123-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.get_feature_flag(flag_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_feature_flag",
        )
    return FeatureFlag.model_validate(raw)

update_feature_flag ¶

update_feature_flag(
    flag_id: str, params: UpdateFeatureFlagParams
) -> FeatureFlag

Update a feature flag (full replacement, PUT semantics).

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`
`params`	Complete flag configuration. TYPE: `UpdateFeatureFlagParams`

RETURNS	DESCRIPTION
`FeatureFlag`	The updated `FeatureFlag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found or invalid params (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.update_feature_flag(
    "abc-123", UpdateFeatureFlagParams(
        name="X", key="x",
        status=FeatureFlagStatus.ENABLED,
        ruleset={"variants": []},
    )
)

Source code in src/mixpanel_data/workspace.py

def update_feature_flag(
    self, flag_id: str, params: UpdateFeatureFlagParams
) -> FeatureFlag:
    """Update a feature flag (full replacement, PUT semantics).

    Args:
        flag_id: Feature flag UUID.
        params: Complete flag configuration.

    Returns:
        The updated ``FeatureFlag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found or invalid params (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.update_feature_flag(
            "abc-123", UpdateFeatureFlagParams(
                name="X", key="x",
                status=FeatureFlagStatus.ENABLED,
                ruleset={"variants": []},
            )
        )
        ```
    """
    client = self._require_api_client()
    raw = client.update_feature_flag(flag_id, params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for update_feature_flag",
        )
    return FeatureFlag.model_validate(raw)

delete_feature_flag ¶

delete_feature_flag(flag_id: str) -> None

Delete a feature flag.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_feature_flag("abc-123-uuid")

Source code in src/mixpanel_data/workspace.py

def delete_feature_flag(self, flag_id: str) -> None:
    """Delete a feature flag.

    Args:
        flag_id: Feature flag UUID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_feature_flag("abc-123-uuid")
        ```
    """
    client = self._require_api_client()
    client.delete_feature_flag(flag_id)

archive_feature_flag ¶

archive_feature_flag(flag_id: str) -> None

Archive a feature flag (soft-delete).

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.archive_feature_flag("abc-123-uuid")

Source code in src/mixpanel_data/workspace.py

def archive_feature_flag(self, flag_id: str) -> None:
    """Archive a feature flag (soft-delete).

    Args:
        flag_id: Feature flag UUID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.archive_feature_flag("abc-123-uuid")
        ```
    """
    client = self._require_api_client()
    client.archive_feature_flag(flag_id)

restore_feature_flag ¶

restore_feature_flag(flag_id: str) -> FeatureFlag

Restore an archived feature flag.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`

RETURNS	DESCRIPTION
`FeatureFlag`	The restored `FeatureFlag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
restored = ws.restore_feature_flag("abc-123-uuid")

Source code in src/mixpanel_data/workspace.py

def restore_feature_flag(self, flag_id: str) -> FeatureFlag:
    """Restore an archived feature flag.

    Args:
        flag_id: Feature flag UUID.

    Returns:
        The restored ``FeatureFlag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        restored = ws.restore_feature_flag("abc-123-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.restore_feature_flag(flag_id)
    return FeatureFlag.model_validate(raw)

duplicate_feature_flag ¶

duplicate_feature_flag(flag_id: str) -> FeatureFlag

Duplicate a feature flag.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`

RETURNS	DESCRIPTION
`FeatureFlag`	The newly created duplicate `FeatureFlag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dup = ws.duplicate_feature_flag("abc-123-uuid")

Source code in src/mixpanel_data/workspace.py

def duplicate_feature_flag(self, flag_id: str) -> FeatureFlag:
    """Duplicate a feature flag.

    Args:
        flag_id: Feature flag UUID.

    Returns:
        The newly created duplicate ``FeatureFlag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dup = ws.duplicate_feature_flag("abc-123-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.duplicate_feature_flag(flag_id)
    return FeatureFlag.model_validate(raw)

set_flag_test_users ¶

set_flag_test_users(flag_id: str, params: SetTestUsersParams) -> None

Set test user variant overrides for a feature flag.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`
`params`	Test user mapping. TYPE: `SetTestUsersParams`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404) or invalid payload (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.set_flag_test_users(
    "abc-123",
    SetTestUsersParams(users={"on": "user-1"}),
)

Source code in src/mixpanel_data/workspace.py

def set_flag_test_users(self, flag_id: str, params: SetTestUsersParams) -> None:
    """Set test user variant overrides for a feature flag.

    Args:
        flag_id: Feature flag UUID.
        params: Test user mapping.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404) or invalid payload (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.set_flag_test_users(
            "abc-123",
            SetTestUsersParams(users={"on": "user-1"}),
        )
        ```
    """
    client = self._require_api_client()
    client.set_flag_test_users(flag_id, params.model_dump())

get_flag_history ¶

get_flag_history(
    flag_id: str, *, page: str | None = None, page_size: int | None = None
) -> FlagHistoryResponse

Get paginated change history for a feature flag.

PARAMETER	DESCRIPTION
`flag_id`	Feature flag UUID. TYPE: `str`
`page`	Pagination cursor. TYPE: `str \| None` DEFAULT: `None`
`page_size`	Results per page. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`FlagHistoryResponse`	`FlagHistoryResponse` with events and count.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Flag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
history = ws.get_flag_history("abc-123", page_size=50)

Source code in src/mixpanel_data/workspace.py

def get_flag_history(
    self,
    flag_id: str,
    *,
    page: str | None = None,
    page_size: int | None = None,
) -> FlagHistoryResponse:
    """Get paginated change history for a feature flag.

    Args:
        flag_id: Feature flag UUID.
        page: Pagination cursor.
        page_size: Results per page.

    Returns:
        ``FlagHistoryResponse`` with events and count.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Flag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        history = ws.get_flag_history("abc-123", page_size=50)
        ```
    """
    client = self._require_api_client()
    query_params: dict[str, str] = {}
    if page is not None:
        query_params["page"] = page
    if page_size is not None:
        query_params["page_size"] = str(page_size)
    raw = client.get_flag_history(
        flag_id, params=query_params if query_params else None
    )
    return FlagHistoryResponse.model_validate(raw)

get_flag_limits ¶

get_flag_limits() -> FlagLimitsResponse

Get account-level feature flag limits and usage.

RETURNS	DESCRIPTION
`FlagLimitsResponse`	`FlagLimitsResponse` with limit, usage, trial, and contract status.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
limits = ws.get_flag_limits()
print(f"{limits.current_usage}/{limits.limit}")

Source code in src/mixpanel_data/workspace.py

def get_flag_limits(self) -> FlagLimitsResponse:
    """Get account-level feature flag limits and usage.

    Returns:
        ``FlagLimitsResponse`` with limit, usage, trial, and contract status.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        limits = ws.get_flag_limits()
        print(f"{limits.current_usage}/{limits.limit}")
        ```
    """
    client = self._require_api_client()
    raw = client.get_flag_limits()
    return FlagLimitsResponse.model_validate(raw)

list_experiments ¶

list_experiments(*, include_archived: bool = False) -> list[Experiment]

List experiments for the current project.

PARAMETER	DESCRIPTION
`include_archived`	When True, include archived experiments. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`list[Experiment]`	List of `Experiment` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
experiments = ws.list_experiments()
for e in experiments:
    print(f"{e.name} (status={e.status})")

Source code in src/mixpanel_data/workspace.py

def list_experiments(self, *, include_archived: bool = False) -> list[Experiment]:
    """List experiments for the current project.

    Args:
        include_archived: When True, include archived experiments.

    Returns:
        List of ``Experiment`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        experiments = ws.list_experiments()
        for e in experiments:
            print(f"{e.name} (status={e.status})")
        ```
    """
    client = self._require_api_client()
    raw = client.list_experiments(include_archived=include_archived)
    return [Experiment.model_validate(e) for e in raw]

create_experiment ¶

create_experiment(params: CreateExperimentParams) -> Experiment

Create a new experiment in Draft status.

PARAMETER	DESCRIPTION
`params`	Experiment creation parameters. TYPE: `CreateExperimentParams`

RETURNS	DESCRIPTION
`Experiment`	The newly created `Experiment`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
exp = ws.create_experiment(
    CreateExperimentParams(name="Checkout Flow Test")
)

Source code in src/mixpanel_data/workspace.py

def create_experiment(self, params: CreateExperimentParams) -> Experiment:
    """Create a new experiment in Draft status.

    Args:
        params: Experiment creation parameters.

    Returns:
        The newly created ``Experiment``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        exp = ws.create_experiment(
            CreateExperimentParams(name="Checkout Flow Test")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.create_experiment(params.model_dump(exclude_none=True))
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for create_experiment",
        )
    return Experiment.model_validate(raw)

get_experiment ¶

get_experiment(experiment_id: str) -> Experiment

Get a single experiment by ID.

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`

RETURNS	DESCRIPTION
`Experiment`	The `Experiment` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
exp = ws.get_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def get_experiment(self, experiment_id: str) -> Experiment:
    """Get a single experiment by ID.

    Args:
        experiment_id: Experiment UUID.

    Returns:
        The ``Experiment`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        exp = ws.get_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.get_experiment(experiment_id)
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for get_experiment",
        )
    return Experiment.model_validate(raw)

update_experiment ¶

update_experiment(
    experiment_id: str, params: UpdateExperimentParams
) -> Experiment

Update an experiment (PATCH semantics).

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`
`params`	Fields to update. TYPE: `UpdateExperimentParams`

RETURNS	DESCRIPTION
`Experiment`	The updated `Experiment`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found or invalid params (400, 404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
updated = ws.update_experiment(
    "xyz-456", UpdateExperimentParams(description="Updated")
)

Source code in src/mixpanel_data/workspace.py

def update_experiment(
    self, experiment_id: str, params: UpdateExperimentParams
) -> Experiment:
    """Update an experiment (PATCH semantics).

    Args:
        experiment_id: Experiment UUID.
        params: Fields to update.

    Returns:
        The updated ``Experiment``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found or invalid params (400, 404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        updated = ws.update_experiment(
            "xyz-456", UpdateExperimentParams(description="Updated")
        )
        ```
    """
    client = self._require_api_client()
    raw = client.update_experiment(
        experiment_id, params.model_dump(exclude_none=True)
    )
    if raw is None:
        raise MixpanelDataError(
            "API returned empty response for update_experiment",
        )
    return Experiment.model_validate(raw)

delete_experiment ¶

delete_experiment(experiment_id: str) -> None

Delete an experiment.

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def delete_experiment(self, experiment_id: str) -> None:
    """Delete an experiment.

    Args:
        experiment_id: Experiment UUID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    client.delete_experiment(experiment_id)

launch_experiment ¶

launch_experiment(experiment_id: str) -> Experiment

Launch an experiment (Draft → Active).

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`

RETURNS	DESCRIPTION
`Experiment`	The launched `Experiment` with updated status.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid state transition (400) or not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
launched = ws.launch_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def launch_experiment(self, experiment_id: str) -> Experiment:
    """Launch an experiment (Draft → Active).

    Args:
        experiment_id: Experiment UUID.

    Returns:
        The launched ``Experiment`` with updated status.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid state transition (400) or not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        launched = ws.launch_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.launch_experiment(experiment_id)
    return Experiment.model_validate(raw)

conclude_experiment ¶

conclude_experiment(
    experiment_id: str, *, params: ExperimentConcludeParams | None = None
) -> Experiment

Conclude an experiment (Active → Concluded).

Always sends a JSON body (empty {} if no params).

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`
`params`	Optional conclude parameters (e.g. end date override). TYPE: `ExperimentConcludeParams \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`Experiment`	The concluded `Experiment`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid state transition (400) or not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
concluded = ws.conclude_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def conclude_experiment(
    self,
    experiment_id: str,
    *,
    params: ExperimentConcludeParams | None = None,
) -> Experiment:
    """Conclude an experiment (Active → Concluded).

    Always sends a JSON body (empty ``{}`` if no params).

    Args:
        experiment_id: Experiment UUID.
        params: Optional conclude parameters (e.g. end date override).

    Returns:
        The concluded ``Experiment``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid state transition (400) or not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        concluded = ws.conclude_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True) if params else {}
    raw = client.conclude_experiment(experiment_id, body)
    return Experiment.model_validate(raw)

decide_experiment ¶

decide_experiment(
    experiment_id: str, params: ExperimentDecideParams
) -> Experiment

Record the experiment decision (Concluded → Success/Fail).

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`
`params`	Decision parameters (success, variant, message). TYPE: `ExperimentDecideParams`

RETURNS	DESCRIPTION
`Experiment`	The decided `Experiment` with terminal status.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid state transition (400) or not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
decided = ws.decide_experiment(
    "xyz-456",
    ExperimentDecideParams(success=True, variant="simplified"),
)

Source code in src/mixpanel_data/workspace.py

def decide_experiment(
    self, experiment_id: str, params: ExperimentDecideParams
) -> Experiment:
    """Record the experiment decision (Concluded → Success/Fail).

    Args:
        experiment_id: Experiment UUID.
        params: Decision parameters (success, variant, message).

    Returns:
        The decided ``Experiment`` with terminal status.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid state transition (400) or not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        decided = ws.decide_experiment(
            "xyz-456",
            ExperimentDecideParams(success=True, variant="simplified"),
        )
        ```
    """
    client = self._require_api_client()
    raw = client.decide_experiment(
        experiment_id, params.model_dump(exclude_none=True)
    )
    return Experiment.model_validate(raw)

archive_experiment ¶

archive_experiment(experiment_id: str) -> None

Archive an experiment.

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.archive_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def archive_experiment(self, experiment_id: str) -> None:
    """Archive an experiment.

    Args:
        experiment_id: Experiment UUID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.archive_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    client.archive_experiment(experiment_id)

restore_experiment ¶

restore_experiment(experiment_id: str) -> Experiment

Restore an archived experiment.

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`

RETURNS	DESCRIPTION
`Experiment`	The restored `Experiment`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
restored = ws.restore_experiment("xyz-456-uuid")

Source code in src/mixpanel_data/workspace.py

def restore_experiment(self, experiment_id: str) -> Experiment:
    """Restore an archived experiment.

    Args:
        experiment_id: Experiment UUID.

    Returns:
        The restored ``Experiment``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        restored = ws.restore_experiment("xyz-456-uuid")
        ```
    """
    client = self._require_api_client()
    raw = client.restore_experiment(experiment_id)
    return Experiment.model_validate(raw)

duplicate_experiment ¶

duplicate_experiment(
    experiment_id: str, params: DuplicateExperimentParams
) -> Experiment

Duplicate an experiment.

A name is required because the Mixpanel API returns an empty response body when duplicating without one.

PARAMETER	DESCRIPTION
`experiment_id`	Experiment UUID. TYPE: `str`
`params`	Duplication parameters (`name` is required). TYPE: `DuplicateExperimentParams`

RETURNS	DESCRIPTION
`Experiment`	The newly created duplicate `Experiment`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Experiment not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
dup = ws.duplicate_experiment(
    "xyz-456-uuid",
    DuplicateExperimentParams(name="Copy"),
)

Source code in src/mixpanel_data/workspace.py

def duplicate_experiment(
    self,
    experiment_id: str,
    params: DuplicateExperimentParams,
) -> Experiment:
    """Duplicate an experiment.

    A name is required because the Mixpanel API returns an empty
    response body when duplicating without one.

    Args:
        experiment_id: Experiment UUID.
        params: Duplication parameters (``name`` is required).

    Returns:
        The newly created duplicate ``Experiment``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Experiment not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        dup = ws.duplicate_experiment(
            "xyz-456-uuid",
            DuplicateExperimentParams(name="Copy"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.duplicate_experiment(experiment_id, body)
    return Experiment.model_validate(raw)

list_erf_experiments ¶

list_erf_experiments() -> list[dict[str, Any]]

List experiments in ERF (Experiment Results Framework) format.

RETURNS	DESCRIPTION
`list[dict[str, Any]]`	List of experiment dicts in ERF format.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
erf = ws.list_erf_experiments()

Source code in src/mixpanel_data/workspace.py

def list_erf_experiments(self) -> list[dict[str, Any]]:
    """List experiments in ERF (Experiment Results Framework) format.

    Returns:
        List of experiment dicts in ERF format.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        erf = ws.list_erf_experiments()
        ```
    """
    client = self._require_api_client()
    return client.list_erf_experiments()

list_alerts ¶

list_alerts(
    *, bookmark_id: int | None = None, skip_user_filter: bool | None = None
) -> list[CustomAlert]

List custom alerts for the current project.

PARAMETER	DESCRIPTION
`bookmark_id`	Filter alerts by linked bookmark ID. TYPE: `int \| None` DEFAULT: `None`
`skip_user_filter`	If True, list alerts for all users. TYPE: `bool \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[CustomAlert]`	List of `CustomAlert` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
alerts = ws.list_alerts()
for alert in alerts:
    print(f"{alert.name} (paused={alert.paused})")

Source code in src/mixpanel_data/workspace.py

def list_alerts(
    self,
    *,
    bookmark_id: int | None = None,
    skip_user_filter: bool | None = None,
) -> list[CustomAlert]:
    """List custom alerts for the current project.

    Args:
        bookmark_id: Filter alerts by linked bookmark ID.
        skip_user_filter: If True, list alerts for all users.

    Returns:
        List of ``CustomAlert`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        alerts = ws.list_alerts()
        for alert in alerts:
            print(f"{alert.name} (paused={alert.paused})")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_alerts(
        bookmark_id=bookmark_id, skip_user_filter=skip_user_filter
    )
    return [CustomAlert.model_validate(item) for item in raw_list]

create_alert ¶

create_alert(params: CreateAlertParams) -> CustomAlert

Create a new custom alert.

PARAMETER	DESCRIPTION
`params`	Alert creation parameters (bookmark_id, name, condition, frequency, paused, and subscriptions are required). TYPE: `CreateAlertParams`

RETURNS	DESCRIPTION
`CustomAlert`	The created `CustomAlert`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
alert = ws.create_alert(
    CreateAlertParams(
        bookmark_id=123,
        name="Daily signups drop",
        condition={"operator": "less_than", "value": 100},
        frequency=86400,
        paused=False,
        subscriptions=[{"type": "email", "value": "team@co.com"}],
    )
)

Source code in src/mixpanel_data/workspace.py

def create_alert(self, params: CreateAlertParams) -> CustomAlert:
    """Create a new custom alert.

    Args:
        params: Alert creation parameters (bookmark_id, name, condition,
            frequency, paused, and subscriptions are required).

    Returns:
        The created ``CustomAlert``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        alert = ws.create_alert(
            CreateAlertParams(
                bookmark_id=123,
                name="Daily signups drop",
                condition={"operator": "less_than", "value": 100},
                frequency=86400,
                paused=False,
                subscriptions=[{"type": "email", "value": "team@co.com"}],
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.create_alert(body)
    return CustomAlert.model_validate(raw)

get_alert ¶

get_alert(alert_id: int) -> CustomAlert

Get a single custom alert by ID.

PARAMETER	DESCRIPTION
`alert_id`	Alert ID (integer). TYPE: `int`

RETURNS	DESCRIPTION
`CustomAlert`	The `CustomAlert` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Alert not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
alert = ws.get_alert(42)
print(alert.name)

Source code in src/mixpanel_data/workspace.py

def get_alert(self, alert_id: int) -> CustomAlert:
    """Get a single custom alert by ID.

    Args:
        alert_id: Alert ID (integer).

    Returns:
        The ``CustomAlert`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Alert not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        alert = ws.get_alert(42)
        print(alert.name)
        ```
    """
    client = self._require_api_client()
    raw = client.get_alert(alert_id)
    return CustomAlert.model_validate(raw)

update_alert ¶

update_alert(alert_id: int, params: UpdateAlertParams) -> CustomAlert

Update a custom alert (PATCH semantics).

PARAMETER	DESCRIPTION
`alert_id`	Alert ID (integer). TYPE: `int`
`params`	Fields to update. TYPE: `UpdateAlertParams`

RETURNS	DESCRIPTION
`CustomAlert`	The updated `CustomAlert`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Alert not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
alert = ws.update_alert(
    42, UpdateAlertParams(name="Renamed alert")
)

Source code in src/mixpanel_data/workspace.py

def update_alert(self, alert_id: int, params: UpdateAlertParams) -> CustomAlert:
    """Update a custom alert (PATCH semantics).

    Args:
        alert_id: Alert ID (integer).
        params: Fields to update.

    Returns:
        The updated ``CustomAlert``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Alert not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        alert = ws.update_alert(
            42, UpdateAlertParams(name="Renamed alert")
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_alert(alert_id, body)
    return CustomAlert.model_validate(raw)

delete_alert ¶

delete_alert(alert_id: int) -> None

Delete a custom alert.

PARAMETER	DESCRIPTION
`alert_id`	Alert ID (integer). TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Alert not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_alert(42)

Source code in src/mixpanel_data/workspace.py

def delete_alert(self, alert_id: int) -> None:
    """Delete a custom alert.

    Args:
        alert_id: Alert ID (integer).

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Alert not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_alert(42)
        ```
    """
    client = self._require_api_client()
    client.delete_alert(alert_id)

bulk_delete_alerts ¶

bulk_delete_alerts(ids: list[int]) -> None

Bulk-delete custom alerts.

PARAMETER	DESCRIPTION
`ids`	List of alert IDs to delete. TYPE: `list[int]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.bulk_delete_alerts([1, 2, 3])

Source code in src/mixpanel_data/workspace.py

def bulk_delete_alerts(self, ids: list[int]) -> None:
    """Bulk-delete custom alerts.

    Args:
        ids: List of alert IDs to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_delete_alerts([1, 2, 3])
        ```
    """
    client = self._require_api_client()
    client.bulk_delete_alerts(ids)

get_alert_count ¶

get_alert_count(*, alert_type: str | None = None) -> AlertCount

Get alert count and limits.

PARAMETER	DESCRIPTION
`alert_type`	Optional filter by alert type. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`AlertCount`	`AlertCount` with count, limit, and is_below_limit.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
count = ws.get_alert_count()
if count.is_below_limit:
    print(f"{count.anomaly_alerts_count}/{count.alert_limit}")

Source code in src/mixpanel_data/workspace.py

def get_alert_count(self, *, alert_type: str | None = None) -> AlertCount:
    """Get alert count and limits.

    Args:
        alert_type: Optional filter by alert type.

    Returns:
        ``AlertCount`` with count, limit, and is_below_limit.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        count = ws.get_alert_count()
        if count.is_below_limit:
            print(f"{count.anomaly_alerts_count}/{count.alert_limit}")
        ```
    """
    client = self._require_api_client()
    raw = client.get_alert_count(alert_type=alert_type)
    return AlertCount.model_validate(raw)

get_alert_history ¶

get_alert_history(
    alert_id: int,
    *,
    page_size: int | None = None,
    next_cursor: str | None = None,
    previous_cursor: str | None = None,
) -> AlertHistoryResponse

Get alert trigger history (paginated).

PARAMETER	DESCRIPTION
`alert_id`	Alert ID (integer). TYPE: `int`
`page_size`	Number of results per page. TYPE: `int \| None` DEFAULT: `None`
`next_cursor`	Cursor for the next page. TYPE: `str \| None` DEFAULT: `None`
`previous_cursor`	Cursor for the previous page. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`AlertHistoryResponse`	`AlertHistoryResponse` with results and pagination metadata.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Alert not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
history = ws.get_alert_history(42, page_size=10)
for entry in history.results:
    print(entry)

Source code in src/mixpanel_data/workspace.py

def get_alert_history(
    self,
    alert_id: int,
    *,
    page_size: int | None = None,
    next_cursor: str | None = None,
    previous_cursor: str | None = None,
) -> AlertHistoryResponse:
    """Get alert trigger history (paginated).

    Args:
        alert_id: Alert ID (integer).
        page_size: Number of results per page.
        next_cursor: Cursor for the next page.
        previous_cursor: Cursor for the previous page.

    Returns:
        ``AlertHistoryResponse`` with results and pagination metadata.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Alert not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        history = ws.get_alert_history(42, page_size=10)
        for entry in history.results:
            print(entry)
        ```
    """
    client = self._require_api_client()
    raw = client.get_alert_history(
        alert_id,
        page_size=page_size,
        next_cursor=next_cursor,
        previous_cursor=previous_cursor,
    )
    return AlertHistoryResponse.model_validate(raw)

test_alert ¶

test_alert(params: CreateAlertParams) -> dict[str, Any]

Send a test alert notification.

PARAMETER	DESCRIPTION
`params`	Alert parameters for the test (same shape as create). TYPE: `CreateAlertParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Dictionary with test result status (opaque response).

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
result = ws.test_alert(
    CreateAlertParams(
        bookmark_id=123, name="Test",
        condition={}, frequency=86400,
        paused=False, subscriptions=[],
    )
)

Source code in src/mixpanel_data/workspace.py

def test_alert(self, params: CreateAlertParams) -> dict[str, Any]:
    """Send a test alert notification.

    Args:
        params: Alert parameters for the test (same shape as create).

    Returns:
        Dictionary with test result status (opaque response).

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        result = ws.test_alert(
            CreateAlertParams(
                bookmark_id=123, name="Test",
                condition={}, frequency=86400,
                paused=False, subscriptions=[],
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    return client.test_alert(body)

get_alert_screenshot_url ¶

get_alert_screenshot_url(gcs_key: str) -> AlertScreenshotResponse

Get a signed URL for an alert screenshot.

PARAMETER	DESCRIPTION
`gcs_key`	GCS object key for the screenshot. TYPE: `str`

RETURNS	DESCRIPTION
`AlertScreenshotResponse`	`AlertScreenshotResponse` with the signed URL.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Screenshot not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
resp = ws.get_alert_screenshot_url("screenshots/abc.png")
print(resp.signed_url)

Source code in src/mixpanel_data/workspace.py

def get_alert_screenshot_url(self, gcs_key: str) -> AlertScreenshotResponse:
    """Get a signed URL for an alert screenshot.

    Args:
        gcs_key: GCS object key for the screenshot.

    Returns:
        ``AlertScreenshotResponse`` with the signed URL.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Screenshot not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        resp = ws.get_alert_screenshot_url("screenshots/abc.png")
        print(resp.signed_url)
        ```
    """
    client = self._require_api_client()
    raw = client.get_alert_screenshot_url(gcs_key)
    return AlertScreenshotResponse.model_validate(raw)

validate_alerts_for_bookmark ¶

validate_alerts_for_bookmark(
    params: ValidateAlertsForBookmarkParams,
) -> ValidateAlertsForBookmarkResponse

Validate alerts against a bookmark configuration.

PARAMETER	DESCRIPTION
`params`	Validation parameters (alert_ids, bookmark_type, bookmark_params are required). TYPE: `ValidateAlertsForBookmarkParams`

RETURNS	DESCRIPTION
`ValidateAlertsForBookmarkResponse`	`ValidateAlertsForBookmarkResponse` with per-alert validations
`ValidateAlertsForBookmarkResponse`	and invalid count.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
resp = ws.validate_alerts_for_bookmark(
    ValidateAlertsForBookmarkParams(
        alert_ids=[1, 2],
        bookmark_type="insights",
        bookmark_params={"event": "Signup"},
    )
)
if resp.invalid_count > 0:
    for v in resp.alert_validations:
        if not v.valid:
            print(f"{v.alert_name}: {v.reason}")

Source code in src/mixpanel_data/workspace.py

def validate_alerts_for_bookmark(
    self, params: ValidateAlertsForBookmarkParams
) -> ValidateAlertsForBookmarkResponse:
    """Validate alerts against a bookmark configuration.

    Args:
        params: Validation parameters (alert_ids, bookmark_type,
            bookmark_params are required).

    Returns:
        ``ValidateAlertsForBookmarkResponse`` with per-alert validations
        and invalid count.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        resp = ws.validate_alerts_for_bookmark(
            ValidateAlertsForBookmarkParams(
                alert_ids=[1, 2],
                bookmark_type="insights",
                bookmark_params={"event": "Signup"},
            )
        )
        if resp.invalid_count > 0:
            for v in resp.alert_validations:
                if not v.valid:
                    print(f"{v.alert_name}: {v.reason}")
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.validate_alerts_for_bookmark(body)
    return ValidateAlertsForBookmarkResponse.model_validate(raw)

list_annotations ¶

list_annotations(
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    tags: list[int] | None = None,
) -> list[Annotation]

List timeline annotations for the project.

PARAMETER	DESCRIPTION
`from_date`	Start date filter (ISO format, e.g. `"2026-01-01"`). TYPE: `str \| None` DEFAULT: `None`
`to_date`	End date filter (ISO format, e.g. `"2026-03-31"`). TYPE: `str \| None` DEFAULT: `None`
`tags`	Tag IDs to filter by. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[Annotation]`	List of `Annotation` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
annotations = ws.list_annotations(from_date="2026-01-01")
for ann in annotations:
    print(f"{ann.date}: {ann.description}")

Source code in src/mixpanel_data/workspace.py

def list_annotations(
    self,
    *,
    from_date: str | None = None,
    to_date: str | None = None,
    tags: list[int] | None = None,
) -> list[Annotation]:
    """List timeline annotations for the project.

    Args:
        from_date: Start date filter (ISO format, e.g. ``"2026-01-01"``).
        to_date: End date filter (ISO format, e.g. ``"2026-03-31"``).
        tags: Tag IDs to filter by.

    Returns:
        List of ``Annotation`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        annotations = ws.list_annotations(from_date="2026-01-01")
        for ann in annotations:
            print(f"{ann.date}: {ann.description}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_annotations(
        from_date=from_date, to_date=to_date, tags=tags
    )
    return [Annotation.model_validate(item) for item in raw_list]

create_annotation ¶

create_annotation(params: CreateAnnotationParams) -> Annotation

Create a new timeline annotation.

PARAMETER	DESCRIPTION
`params`	Annotation creation parameters (date, description required). TYPE: `CreateAnnotationParams`

RETURNS	DESCRIPTION
`Annotation`	The created `Annotation`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ann = ws.create_annotation(
    CreateAnnotationParams(
        date="2026-03-31", description="v2.5 release"
    )
)

Source code in src/mixpanel_data/workspace.py

def create_annotation(self, params: CreateAnnotationParams) -> Annotation:
    """Create a new timeline annotation.

    Args:
        params: Annotation creation parameters (date, description required).

    Returns:
        The created ``Annotation``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ann = ws.create_annotation(
            CreateAnnotationParams(
                date="2026-03-31", description="v2.5 release"
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.create_annotation(body)
    return Annotation.model_validate(raw)

get_annotation ¶

get_annotation(annotation_id: int) -> Annotation

Get a single annotation by ID.

PARAMETER	DESCRIPTION
`annotation_id`	Annotation ID. TYPE: `int`

RETURNS	DESCRIPTION
`Annotation`	The `Annotation` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Annotation not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ann = ws.get_annotation(42)
print(ann.description)

Source code in src/mixpanel_data/workspace.py

def get_annotation(self, annotation_id: int) -> Annotation:
    """Get a single annotation by ID.

    Args:
        annotation_id: Annotation ID.

    Returns:
        The ``Annotation`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Annotation not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ann = ws.get_annotation(42)
        print(ann.description)
        ```
    """
    client = self._require_api_client()
    raw = client.get_annotation(annotation_id)
    return Annotation.model_validate(raw)

update_annotation ¶

update_annotation(
    annotation_id: int, params: UpdateAnnotationParams
) -> Annotation

Update an annotation (PATCH semantics).

PARAMETER	DESCRIPTION
`annotation_id`	Annotation ID. TYPE: `int`
`params`	Fields to update (description, tags). TYPE: `UpdateAnnotationParams`

RETURNS	DESCRIPTION
`Annotation`	The updated `Annotation`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Annotation not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ann = ws.update_annotation(
    42, UpdateAnnotationParams(description="Updated text")
)

Source code in src/mixpanel_data/workspace.py

def update_annotation(
    self, annotation_id: int, params: UpdateAnnotationParams
) -> Annotation:
    """Update an annotation (PATCH semantics).

    Args:
        annotation_id: Annotation ID.
        params: Fields to update (description, tags).

    Returns:
        The updated ``Annotation``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Annotation not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ann = ws.update_annotation(
            42, UpdateAnnotationParams(description="Updated text")
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_annotation(annotation_id, body)
    return Annotation.model_validate(raw)

delete_annotation ¶

delete_annotation(annotation_id: int) -> None

Delete an annotation.

PARAMETER	DESCRIPTION
`annotation_id`	Annotation ID. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Annotation not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_annotation(42)

Source code in src/mixpanel_data/workspace.py

def delete_annotation(self, annotation_id: int) -> None:
    """Delete an annotation.

    Args:
        annotation_id: Annotation ID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Annotation not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_annotation(42)
        ```
    """
    client = self._require_api_client()
    client.delete_annotation(annotation_id)

list_annotation_tags ¶

list_annotation_tags() -> list[AnnotationTag]

List annotation tags for the project.

RETURNS	DESCRIPTION
`list[AnnotationTag]`	List of `AnnotationTag` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tags = ws.list_annotation_tags()
for tag in tags:
    print(tag.name)

Source code in src/mixpanel_data/workspace.py

def list_annotation_tags(self) -> list[AnnotationTag]:
    """List annotation tags for the project.

    Returns:
        List of ``AnnotationTag`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tags = ws.list_annotation_tags()
        for tag in tags:
            print(tag.name)
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_annotation_tags()
    return [AnnotationTag.model_validate(item) for item in raw_list]

create_annotation_tag ¶

create_annotation_tag(params: CreateAnnotationTagParams) -> AnnotationTag

Create a new annotation tag.

PARAMETER	DESCRIPTION
`params`	Tag creation parameters (name required). TYPE: `CreateAnnotationTagParams`

RETURNS	DESCRIPTION
`AnnotationTag`	The created `AnnotationTag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tag = ws.create_annotation_tag(
    CreateAnnotationTagParams(name="releases")
)

Source code in src/mixpanel_data/workspace.py

def create_annotation_tag(self, params: CreateAnnotationTagParams) -> AnnotationTag:
    """Create a new annotation tag.

    Args:
        params: Tag creation parameters (name required).

    Returns:
        The created ``AnnotationTag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tag = ws.create_annotation_tag(
            CreateAnnotationTagParams(name="releases")
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.create_annotation_tag(body)
    return AnnotationTag.model_validate(raw)

list_webhooks ¶

list_webhooks() -> list[ProjectWebhook]

List all webhooks for the current project.

RETURNS	DESCRIPTION
`list[ProjectWebhook]`	List of `ProjectWebhook` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
webhooks = ws.list_webhooks()
for wh in webhooks:
    print(f"{wh.name} -> {wh.url}")

Source code in src/mixpanel_data/workspace.py

def list_webhooks(self) -> list[ProjectWebhook]:
    """List all webhooks for the current project.

    Returns:
        List of ``ProjectWebhook`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        webhooks = ws.list_webhooks()
        for wh in webhooks:
            print(f"{wh.name} -> {wh.url}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_webhooks()
    return [ProjectWebhook.model_validate(item) for item in raw_list]

create_webhook ¶

create_webhook(params: CreateWebhookParams) -> WebhookMutationResult

Create a new webhook.

PARAMETER	DESCRIPTION
`params`	Webhook creation parameters. TYPE: `CreateWebhookParams`

RETURNS	DESCRIPTION
`WebhookMutationResult`	`WebhookMutationResult` with the new webhook's id and name.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
result = ws.create_webhook(
    CreateWebhookParams(name="Pipeline", url="https://example.com/hook")
)
print(result.id)

Source code in src/mixpanel_data/workspace.py

def create_webhook(self, params: CreateWebhookParams) -> WebhookMutationResult:
    """Create a new webhook.

    Args:
        params: Webhook creation parameters.

    Returns:
        ``WebhookMutationResult`` with the new webhook's id and name.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        result = ws.create_webhook(
            CreateWebhookParams(name="Pipeline", url="https://example.com/hook")
        )
        print(result.id)
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.create_webhook(body)
    return WebhookMutationResult.model_validate(raw)

update_webhook ¶

update_webhook(
    webhook_id: str, params: UpdateWebhookParams
) -> WebhookMutationResult

Update an existing webhook.

PARAMETER	DESCRIPTION
`webhook_id`	Webhook UUID string. TYPE: `str`
`params`	Fields to update (PATCH semantics). TYPE: `UpdateWebhookParams`

RETURNS	DESCRIPTION
`WebhookMutationResult`	`WebhookMutationResult` with the updated webhook's id and name.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Webhook not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
result = ws.update_webhook(
    "wh-uuid-123",
    UpdateWebhookParams(name="Renamed Hook"),
)

Source code in src/mixpanel_data/workspace.py

def update_webhook(
    self, webhook_id: str, params: UpdateWebhookParams
) -> WebhookMutationResult:
    """Update an existing webhook.

    Args:
        webhook_id: Webhook UUID string.
        params: Fields to update (PATCH semantics).

    Returns:
        ``WebhookMutationResult`` with the updated webhook's id and name.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Webhook not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        result = ws.update_webhook(
            "wh-uuid-123",
            UpdateWebhookParams(name="Renamed Hook"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_webhook(webhook_id, body)
    return WebhookMutationResult.model_validate(raw)

delete_webhook ¶

delete_webhook(webhook_id: str) -> None

Delete a webhook.

PARAMETER	DESCRIPTION
`webhook_id`	Webhook UUID string. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Webhook not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_webhook("wh-uuid-123")

Source code in src/mixpanel_data/workspace.py

def delete_webhook(self, webhook_id: str) -> None:
    """Delete a webhook.

    Args:
        webhook_id: Webhook UUID string.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Webhook not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_webhook("wh-uuid-123")
        ```
    """
    client = self._require_api_client()
    client.delete_webhook(webhook_id)

test_webhook ¶

test_webhook(params: WebhookTestParams) -> WebhookTestResult

Test webhook connectivity.

PARAMETER	DESCRIPTION
`params`	Webhook test parameters (url is required). TYPE: `WebhookTestParams`

RETURNS	DESCRIPTION
`WebhookTestResult`	`WebhookTestResult` with success, status_code, and message.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	API error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
result = ws.test_webhook(
    WebhookTestParams(url="https://example.com/hook")
)
if result.success:
    print("Webhook is reachable")

Source code in src/mixpanel_data/workspace.py

def test_webhook(self, params: WebhookTestParams) -> WebhookTestResult:
    """Test webhook connectivity.

    Args:
        params: Webhook test parameters (url is required).

    Returns:
        ``WebhookTestResult`` with success, status_code, and message.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: API error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        result = ws.test_webhook(
            WebhookTestParams(url="https://example.com/hook")
        )
        if result.success:
            print("Webhook is reachable")
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.test_webhook(body)
    return WebhookTestResult.model_validate(raw)

get_event_definitions ¶

get_event_definitions(*, names: list[str]) -> list[EventDefinition]

Get event definitions from Lexicon by name.

Retrieves metadata (description, tags, visibility, etc.) for the specified events from the Mixpanel Lexicon.

PARAMETER	DESCRIPTION
`names`	List of event names to look up. TYPE: `list[str]`

RETURNS	DESCRIPTION
`list[EventDefinition]`	List of `EventDefinition` objects for the requested events.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
defs = ws.get_event_definitions(names=["Signup", "Login"])
for d in defs:
    print(f"{d.name}: {d.description}")

Source code in src/mixpanel_data/workspace.py

def get_event_definitions(self, *, names: list[str]) -> list[EventDefinition]:
    """Get event definitions from Lexicon by name.

    Retrieves metadata (description, tags, visibility, etc.) for the
    specified events from the Mixpanel Lexicon.

    Args:
        names: List of event names to look up.

    Returns:
        List of ``EventDefinition`` objects for the requested events.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        defs = ws.get_event_definitions(names=["Signup", "Login"])
        for d in defs:
            print(f"{d.name}: {d.description}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.get_event_definitions(names)
    return [EventDefinition.model_validate(x) for x in raw_list]

update_event_definition ¶

update_event_definition(
    event_name: str, params: UpdateEventDefinitionParams
) -> EventDefinition

Update an event definition in Lexicon.

PARAMETER	DESCRIPTION
`event_name`	Name of the event to update. TYPE: `str`
`params`	Fields to update (hidden, dropped, merged, verified, tags, description). TYPE: `UpdateEventDefinitionParams`

RETURNS	DESCRIPTION
`EventDefinition`	The updated `EventDefinition`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
definition = ws.update_event_definition(
    "Signup",
    UpdateEventDefinitionParams(description="User signed up"),
)

Source code in src/mixpanel_data/workspace.py

def update_event_definition(
    self, event_name: str, params: UpdateEventDefinitionParams
) -> EventDefinition:
    """Update an event definition in Lexicon.

    Args:
        event_name: Name of the event to update.
        params: Fields to update (hidden, dropped, merged,
            verified, tags, description).

    Returns:
        The updated ``EventDefinition``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        definition = ws.update_event_definition(
            "Signup",
            UpdateEventDefinitionParams(description="User signed up"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_event_definition(event_name, body)
    return EventDefinition.model_validate(raw)

delete_event_definition ¶

delete_event_definition(event_name: str) -> None

Delete an event definition from Lexicon.

PARAMETER	DESCRIPTION
`event_name`	Name of the event to delete. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_event_definition("OldEvent")

Source code in src/mixpanel_data/workspace.py

def delete_event_definition(self, event_name: str) -> None:
    """Delete an event definition from Lexicon.

    Args:
        event_name: Name of the event to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_event_definition("OldEvent")
        ```
    """
    client = self._require_api_client()
    client.delete_event_definition(event_name)

bulk_update_event_definitions ¶

bulk_update_event_definitions(
    params: BulkUpdateEventsParams,
) -> list[EventDefinition]

Bulk-update event definitions in Lexicon.

PARAMETER	DESCRIPTION
`params`	Bulk update parameters containing a list of event updates (name + fields to change). TYPE: `BulkUpdateEventsParams`

RETURNS	DESCRIPTION
`list[EventDefinition]`	List of updated `EventDefinition` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
defs = ws.bulk_update_event_definitions(
    BulkUpdateEventsParams(events=[
        {"name": "Signup", "description": "User signed up"},
        {"name": "Login", "hidden": True},
    ])
)

Source code in src/mixpanel_data/workspace.py

def bulk_update_event_definitions(
    self, params: BulkUpdateEventsParams
) -> list[EventDefinition]:
    """Bulk-update event definitions in Lexicon.

    Args:
        params: Bulk update parameters containing a list of event
            updates (name + fields to change).

    Returns:
        List of updated ``EventDefinition`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        defs = ws.bulk_update_event_definitions(
            BulkUpdateEventsParams(events=[
                {"name": "Signup", "description": "User signed up"},
                {"name": "Login", "hidden": True},
            ])
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw_list = client.bulk_update_event_definitions(body)
    return [EventDefinition.model_validate(x) for x in raw_list]

get_property_definitions ¶

get_property_definitions(
    *, names: list[str], resource_type: str | None = None
) -> list[PropertyDefinition]

Get property definitions from Lexicon by name.

Retrieves metadata (description, tags, visibility, etc.) for the specified properties from the Mixpanel Lexicon.

PARAMETER	DESCRIPTION
`names`	List of property names to look up. TYPE: `list[str]`
`resource_type`	Optional resource type filter (e.g. `"event"`, `"user"`, `"groupprofile"`). TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[PropertyDefinition]`	List of `PropertyDefinition` objects for the requested properties.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
defs = ws.get_property_definitions(
    names=["plan_type", "country"],
    resource_type="event",
)
for d in defs:
    print(f"{d.name}: {d.description}")

Source code in src/mixpanel_data/workspace.py

def get_property_definitions(
    self,
    *,
    names: list[str],
    resource_type: str | None = None,
) -> list[PropertyDefinition]:
    """Get property definitions from Lexicon by name.

    Retrieves metadata (description, tags, visibility, etc.) for the
    specified properties from the Mixpanel Lexicon.

    Args:
        names: List of property names to look up.
        resource_type: Optional resource type filter (e.g. ``"event"``,
            ``"user"``, ``"groupprofile"``).

    Returns:
        List of ``PropertyDefinition`` objects for the requested properties.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        defs = ws.get_property_definitions(
            names=["plan_type", "country"],
            resource_type="event",
        )
        for d in defs:
            print(f"{d.name}: {d.description}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.get_property_definitions(names, resource_type=resource_type)
    return [PropertyDefinition.model_validate(x) for x in raw_list]

update_property_definition ¶

update_property_definition(
    property_name: str, params: UpdatePropertyDefinitionParams
) -> PropertyDefinition

Update a property definition in Lexicon.

PARAMETER	DESCRIPTION
`property_name`	Name of the property to update. TYPE: `str`
`params`	Fields to update (hidden, dropped, merged, sensitive, description). TYPE: `UpdatePropertyDefinitionParams`

RETURNS	DESCRIPTION
`PropertyDefinition`	The updated `PropertyDefinition`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Property not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
definition = ws.update_property_definition(
    "plan_type",
    UpdatePropertyDefinitionParams(description="User plan tier"),
)

Source code in src/mixpanel_data/workspace.py

def update_property_definition(
    self, property_name: str, params: UpdatePropertyDefinitionParams
) -> PropertyDefinition:
    """Update a property definition in Lexicon.

    Args:
        property_name: Name of the property to update.
        params: Fields to update (hidden, dropped, merged,
            sensitive, description).

    Returns:
        The updated ``PropertyDefinition``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Property not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        definition = ws.update_property_definition(
            "plan_type",
            UpdatePropertyDefinitionParams(description="User plan tier"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_property_definition(property_name, body)
    return PropertyDefinition.model_validate(raw)

bulk_update_property_definitions ¶

bulk_update_property_definitions(
    params: BulkUpdatePropertiesParams,
) -> list[PropertyDefinition]

Bulk-update property definitions in Lexicon.

PARAMETER	DESCRIPTION
`params`	Bulk update parameters containing a list of property updates (name + fields to change). TYPE: `BulkUpdatePropertiesParams`

RETURNS	DESCRIPTION
`list[PropertyDefinition]`	List of updated `PropertyDefinition` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
defs = ws.bulk_update_property_definitions(
    BulkUpdatePropertiesParams(properties=[
        {"name": "plan_type", "description": "User plan tier"},
        {"name": "country", "hidden": True},
    ])
)

Source code in src/mixpanel_data/workspace.py

def bulk_update_property_definitions(
    self, params: BulkUpdatePropertiesParams
) -> list[PropertyDefinition]:
    """Bulk-update property definitions in Lexicon.

    Args:
        params: Bulk update parameters containing a list of property
            updates (name + fields to change).

    Returns:
        List of updated ``PropertyDefinition`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        defs = ws.bulk_update_property_definitions(
            BulkUpdatePropertiesParams(properties=[
                {"name": "plan_type", "description": "User plan tier"},
                {"name": "country", "hidden": True},
            ])
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True)
    raw_list = client.bulk_update_property_definitions(body)
    return [PropertyDefinition.model_validate(x) for x in raw_list]

list_lexicon_tags ¶

list_lexicon_tags() -> list[LexiconTag]

List all Lexicon tags.

RETURNS	DESCRIPTION
`list[LexiconTag]`	List of `LexiconTag` objects with `id` and `name` fields.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tags = ws.list_lexicon_tags()
for tag in tags:
    print(tag.name)

Note

The list endpoint may return plain tag name strings without IDs. In that case, id is set to 0 as a sentinel value. Do not pass this sentinel to update_lexicon_tag() — use name-based operations (e.g. delete_lexicon_tag(tag.name)) for tags obtained from this method.

Source code in src/mixpanel_data/workspace.py

def list_lexicon_tags(self) -> list[LexiconTag]:
    """List all Lexicon tags.

    Returns:
        List of ``LexiconTag`` objects with ``id`` and ``name`` fields.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tags = ws.list_lexicon_tags()
        for tag in tags:
            print(tag.name)
        ```

    Note:
        The list endpoint may return plain tag name strings without IDs.
        In that case, ``id`` is set to ``0`` as a sentinel value. Do not
        pass this sentinel to ``update_lexicon_tag()`` — use name-based
        operations (e.g. ``delete_lexicon_tag(tag.name)``) for tags
        obtained from this method.
    """
    client = self._require_api_client()
    raw_list = client.list_lexicon_tags()
    result: list[LexiconTag] = []
    for x in raw_list:
        if isinstance(x, str):
            # List endpoint returns plain tag name strings (no id);
            # id=0 is a sentinel — see docstring Note.
            result.append(LexiconTag(id=0, name=x))
        else:
            result.append(LexiconTag.model_validate(x))
    return result

create_lexicon_tag ¶

create_lexicon_tag(params: CreateTagParams) -> LexiconTag

Create a new Lexicon tag.

PARAMETER	DESCRIPTION
`params`	Tag creation parameters (name is required). TYPE: `CreateTagParams`

RETURNS	DESCRIPTION
`LexiconTag`	The created `LexiconTag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400) or tag already exists.
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tag = ws.create_lexicon_tag(CreateTagParams(name="core-events"))

Source code in src/mixpanel_data/workspace.py

def create_lexicon_tag(self, params: CreateTagParams) -> LexiconTag:
    """Create a new Lexicon tag.

    Args:
        params: Tag creation parameters (name is required).

    Returns:
        The created ``LexiconTag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400) or tag already exists.
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tag = ws.create_lexicon_tag(CreateTagParams(name="core-events"))
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.create_lexicon_tag(body)
    return LexiconTag.model_validate(raw)

update_lexicon_tag ¶

update_lexicon_tag(tag_id: int, params: UpdateTagParams) -> LexiconTag

Update a Lexicon tag.

PARAMETER	DESCRIPTION
`tag_id`	Tag ID (integer). TYPE: `int`
`params`	Fields to update (e.g. name). TYPE: `UpdateTagParams`

RETURNS	DESCRIPTION
`LexiconTag`	The updated `LexiconTag`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Tag not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tag = ws.update_lexicon_tag(
    5, UpdateTagParams(name="renamed-tag")
)

Source code in src/mixpanel_data/workspace.py

def update_lexicon_tag(self, tag_id: int, params: UpdateTagParams) -> LexiconTag:
    """Update a Lexicon tag.

    Args:
        tag_id: Tag ID (integer).
        params: Fields to update (e.g. name).

    Returns:
        The updated ``LexiconTag``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Tag not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tag = ws.update_lexicon_tag(
            5, UpdateTagParams(name="renamed-tag")
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_lexicon_tag(tag_id, body)
    return LexiconTag.model_validate(raw)

delete_lexicon_tag ¶

delete_lexicon_tag(tag_name: str) -> None

Delete a Lexicon tag by name.

PARAMETER	DESCRIPTION
`tag_name`	Name of the tag to delete. TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Tag not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_lexicon_tag("deprecated-tag")

Source code in src/mixpanel_data/workspace.py

def delete_lexicon_tag(self, tag_name: str) -> None:
    """Delete a Lexicon tag by name.

    Args:
        tag_name: Name of the tag to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Tag not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_lexicon_tag("deprecated-tag")
        ```
    """
    client = self._require_api_client()
    client.delete_lexicon_tag(tag_name)

get_tracking_metadata ¶

get_tracking_metadata(event_name: str) -> dict[str, Any]

Get tracking metadata for an event.

Retrieves information about how an event is being tracked (sources, SDKs, volume, etc.).

PARAMETER	DESCRIPTION
`event_name`	Name of the event. TYPE: `str`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw tracking metadata dictionary.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
metadata = ws.get_tracking_metadata("Signup")
print(metadata)

Source code in src/mixpanel_data/workspace.py

def get_tracking_metadata(self, event_name: str) -> dict[str, Any]:
    """Get tracking metadata for an event.

    Retrieves information about how an event is being tracked
    (sources, SDKs, volume, etc.).

    Args:
        event_name: Name of the event.

    Returns:
        Raw tracking metadata dictionary.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        metadata = ws.get_tracking_metadata("Signup")
        print(metadata)
        ```
    """
    client = self._require_api_client()
    return client.get_tracking_metadata(event_name)

get_event_history ¶

get_event_history(event_name: str) -> list[dict[str, Any]]

Get change history for an event definition.

PARAMETER	DESCRIPTION
`event_name`	Name of the event. TYPE: `str`

RETURNS	DESCRIPTION
`list[dict[str, Any]]`	List of history entries (raw dictionaries) showing changes
`list[dict[str, Any]]`	to the event definition over time.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
history = ws.get_event_history("Signup")
for entry in history:
    print(f"{entry['timestamp']}: {entry['action']}")

Source code in src/mixpanel_data/workspace.py

def get_event_history(self, event_name: str) -> list[dict[str, Any]]:
    """Get change history for an event definition.

    Args:
        event_name: Name of the event.

    Returns:
        List of history entries (raw dictionaries) showing changes
        to the event definition over time.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        history = ws.get_event_history("Signup")
        for entry in history:
            print(f"{entry['timestamp']}: {entry['action']}")
        ```
    """
    client = self._require_api_client()
    return client.get_event_history(event_name)

get_property_history ¶

get_property_history(
    property_name: str, entity_type: str
) -> list[dict[str, Any]]

Get change history for a property definition.

PARAMETER	DESCRIPTION
`property_name`	Name of the property. TYPE: `str`
`entity_type`	Entity type (e.g. `"event"`, `"user"`, `"group"`). TYPE: `str`

RETURNS	DESCRIPTION
`list[dict[str, Any]]`	List of history entries (raw dictionaries) showing changes
`list[dict[str, Any]]`	to the property definition over time.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Property not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
history = ws.get_property_history("plan_type", "event")
for entry in history:
    print(f"{entry['timestamp']}: {entry['action']}")

Source code in src/mixpanel_data/workspace.py

def get_property_history(
    self, property_name: str, entity_type: str
) -> list[dict[str, Any]]:
    """Get change history for a property definition.

    Args:
        property_name: Name of the property.
        entity_type: Entity type (e.g. ``"event"``, ``"user"``,
            ``"group"``).

    Returns:
        List of history entries (raw dictionaries) showing changes
        to the property definition over time.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Property not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        history = ws.get_property_history("plan_type", "event")
        for entry in history:
            print(f"{entry['timestamp']}: {entry['action']}")
        ```
    """
    client = self._require_api_client()
    return client.get_property_history(property_name, entity_type)

export_lexicon ¶

export_lexicon(*, export_types: list[str] | None = None) -> dict[str, Any]

Export Lexicon data definitions.

Exports event and property definitions from Lexicon, optionally filtered by type.

PARAMETER	DESCRIPTION
`export_types`	Optional list of types to export (e.g. `["All Events and Properties", "All User Profile Properties"]`). TYPE: `list[str] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw export dictionary containing the exported definitions.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
export = ws.export_lexicon(
    export_types=["All Events and Properties"]
)
print(len(export.get("events", [])))

Source code in src/mixpanel_data/workspace.py

def export_lexicon(
    self, *, export_types: list[str] | None = None
) -> dict[str, Any]:
    """Export Lexicon data definitions.

    Exports event and property definitions from Lexicon, optionally
    filtered by type.

    Args:
        export_types: Optional list of types to export (e.g.
            ``["All Events and Properties", "All User Profile Properties"]``).

    Returns:
        Raw export dictionary containing the exported definitions.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        export = ws.export_lexicon(
            export_types=["All Events and Properties"]
        )
        print(len(export.get("events", [])))
        ```
    """
    client = self._require_api_client()
    return client.export_lexicon(export_types=export_types)

list_drop_filters ¶

list_drop_filters() -> list[DropFilter]

List all drop filters.

RETURNS	DESCRIPTION
`list[DropFilter]`	List of `DropFilter` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
filters = ws.list_drop_filters()
for f in filters:
    print(f"{f.event_name}: active={f.active}")

Source code in src/mixpanel_data/workspace.py

def list_drop_filters(self) -> list[DropFilter]:
    """List all drop filters.

    Returns:
        List of ``DropFilter`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        filters = ws.list_drop_filters()
        for f in filters:
            print(f"{f.event_name}: active={f.active}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_drop_filters()
    return [DropFilter.model_validate(x) for x in raw_list]

create_drop_filter ¶

create_drop_filter(params: CreateDropFilterParams) -> list[DropFilter]

Create a new drop filter.

PARAMETER	DESCRIPTION
`params`	Drop filter creation parameters. TYPE: `CreateDropFilterParams`

RETURNS	DESCRIPTION
`list[DropFilter]`	Full list of `DropFilter` objects after creation.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
filters = ws.create_drop_filter(
    CreateDropFilterParams(
        event_name="Debug Event",
        filters={"property": "env", "value": "test"},
    )
)

Source code in src/mixpanel_data/workspace.py

def create_drop_filter(self, params: CreateDropFilterParams) -> list[DropFilter]:
    """Create a new drop filter.

    Args:
        params: Drop filter creation parameters.

    Returns:
        Full list of ``DropFilter`` objects after creation.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        filters = ws.create_drop_filter(
            CreateDropFilterParams(
                event_name="Debug Event",
                filters={"property": "env", "value": "test"},
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw_list = client.create_drop_filter(body)
    return [DropFilter.model_validate(x) for x in raw_list]

update_drop_filter ¶

update_drop_filter(params: UpdateDropFilterParams) -> list[DropFilter]

Update a drop filter.

PARAMETER	DESCRIPTION
`params`	Drop filter update parameters (must include the filter ID). TYPE: `UpdateDropFilterParams`

RETURNS	DESCRIPTION
`list[DropFilter]`	Full list of `DropFilter` objects after update.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Filter not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
filters = ws.update_drop_filter(
    UpdateDropFilterParams(
        id=42, event_name="Debug Event v2"
    )
)

Source code in src/mixpanel_data/workspace.py

def update_drop_filter(self, params: UpdateDropFilterParams) -> list[DropFilter]:
    """Update a drop filter.

    Args:
        params: Drop filter update parameters (must include the filter ID).

    Returns:
        Full list of ``DropFilter`` objects after update.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Filter not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        filters = ws.update_drop_filter(
            UpdateDropFilterParams(
                id=42, event_name="Debug Event v2"
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw_list = client.update_drop_filter(body)
    return [DropFilter.model_validate(x) for x in raw_list]

delete_drop_filter ¶

delete_drop_filter(drop_filter_id: int) -> list[DropFilter]

Delete a drop filter.

PARAMETER	DESCRIPTION
`drop_filter_id`	Drop filter ID (integer). TYPE: `int`

RETURNS	DESCRIPTION
`list[DropFilter]`	Full list of remaining `DropFilter` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Filter not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
remaining = ws.delete_drop_filter(42)

Source code in src/mixpanel_data/workspace.py

def delete_drop_filter(self, drop_filter_id: int) -> list[DropFilter]:
    """Delete a drop filter.

    Args:
        drop_filter_id: Drop filter ID (integer).

    Returns:
        Full list of remaining ``DropFilter`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Filter not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        remaining = ws.delete_drop_filter(42)
        ```
    """
    client = self._require_api_client()
    raw_list = client.delete_drop_filter(drop_filter_id)
    return [DropFilter.model_validate(x) for x in raw_list]

get_drop_filter_limits ¶

get_drop_filter_limits() -> DropFilterLimitsResponse

Get drop filter usage limits.

RETURNS	DESCRIPTION
`DropFilterLimitsResponse`	`DropFilterLimitsResponse` with the maximum allowed
`DropFilterLimitsResponse`	drop filters for the project.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
limits = ws.get_drop_filter_limits()
print(f"Drop filter limit: {limits.filter_limit}")

Source code in src/mixpanel_data/workspace.py

def get_drop_filter_limits(self) -> DropFilterLimitsResponse:
    """Get drop filter usage limits.

    Returns:
        ``DropFilterLimitsResponse`` with the maximum allowed
        drop filters for the project.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        limits = ws.get_drop_filter_limits()
        print(f"Drop filter limit: {limits.filter_limit}")
        ```
    """
    client = self._require_api_client()
    raw = client.get_drop_filter_limits()
    return DropFilterLimitsResponse.model_validate(raw)

list_custom_properties ¶

list_custom_properties() -> list[CustomProperty]

List all custom properties.

RETURNS	DESCRIPTION
`list[CustomProperty]`	List of `CustomProperty` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Server-side data corruption (e.g. invalid `displayFormula` on a custom property).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
props = ws.list_custom_properties()
for p in props:
    print(f"{p.name}: {p.display_formula}")

Source code in src/mixpanel_data/workspace.py

def list_custom_properties(self) -> list[CustomProperty]:
    """List all custom properties.

    Returns:
        List of ``CustomProperty`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Server-side data corruption (e.g. invalid
            ``displayFormula`` on a custom property).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        props = ws.list_custom_properties()
        for p in props:
            print(f"{p.name}: {p.display_formula}")
        ```
    """
    client = self._require_api_client()
    try:
        raw_list = client.list_custom_properties()
    except QueryError as exc:
        # Detect server-side data corruption: the API fails to serialize
        # when a custom property has an invalid displayFormula.
        details = exc.details if isinstance(exc.details, dict) else {}
        body = details.get("response_body", {}) if isinstance(details, dict) else {}
        if isinstance(body, dict) and body.get("field") == "displayFormula":
            raise QueryError(
                "list_custom_properties() failed: the project contains a "
                "custom property with an invalid displayFormula "
                "(server-side data corruption). Use "
                "get_custom_property(id) to retrieve individual "
                "properties, or contact Mixpanel support.",
                status_code=exc.status_code,
                response_body=exc.response_body,
                request_method=exc.request_method,
                request_url=exc.request_url,
                request_params=exc.request_params,
            ) from exc
        raise
    return [CustomProperty.model_validate(x) for x in raw_list]

create_custom_property ¶

create_custom_property(params: CreateCustomPropertyParams) -> CustomProperty

Create a new custom property.

PARAMETER	DESCRIPTION
`params`	Custom property creation parameters (name, display_formula or behavior, resource_type are required). TYPE: `CreateCustomPropertyParams`

RETURNS	DESCRIPTION
`CustomProperty`	The created `CustomProperty`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
prop = ws.create_custom_property(
    CreateCustomPropertyParams(
        name="Full Name",
        display_formula='concat(properties["first"], " ", properties["last"])',
        composed_properties={"first": ComposedPropertyValue(resource_type="event"), "last": ComposedPropertyValue(resource_type="event")},
        resource_type="event",
    )
)

Source code in src/mixpanel_data/workspace.py

def create_custom_property(
    self, params: CreateCustomPropertyParams
) -> CustomProperty:
    """Create a new custom property.

    Args:
        params: Custom property creation parameters (name,
            display_formula or behavior, resource_type are required).

    Returns:
        The created ``CustomProperty``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        prop = ws.create_custom_property(
            CreateCustomPropertyParams(
                name="Full Name",
                display_formula='concat(properties["first"], " ", properties["last"])',
                composed_properties={"first": ComposedPropertyValue(resource_type="event"), "last": ComposedPropertyValue(resource_type="event")},
                resource_type="event",
            )
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True, mode="json")
    raw = client.create_custom_property(body)
    return CustomProperty.model_validate(raw)

get_custom_property ¶

get_custom_property(property_id: str) -> CustomProperty

Get a custom property by ID.

PARAMETER	DESCRIPTION
`property_id`	Custom property ID (string). TYPE: `str`

RETURNS	DESCRIPTION
`CustomProperty`	The `CustomProperty` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Property not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
prop = ws.get_custom_property("abc123")
print(prop.name)

Source code in src/mixpanel_data/workspace.py

def get_custom_property(self, property_id: str) -> CustomProperty:
    """Get a custom property by ID.

    Args:
        property_id: Custom property ID (string).

    Returns:
        The ``CustomProperty`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Property not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        prop = ws.get_custom_property("abc123")
        print(prop.name)
        ```
    """
    client = self._require_api_client()
    raw = client.get_custom_property(property_id)
    return CustomProperty.model_validate(raw)

update_custom_property ¶

update_custom_property(
    property_id: str, params: UpdateCustomPropertyParams
) -> CustomProperty

Update a custom property.

PARAMETER	DESCRIPTION
`property_id`	Custom property ID (string). TYPE: `str`
`params`	Fields to update. TYPE: `UpdateCustomPropertyParams`

RETURNS	DESCRIPTION
`CustomProperty`	The updated `CustomProperty`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Property not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
prop = ws.update_custom_property(
    "abc123",
    UpdateCustomPropertyParams(name="Renamed Property"),
)

Source code in src/mixpanel_data/workspace.py

def update_custom_property(
    self, property_id: str, params: UpdateCustomPropertyParams
) -> CustomProperty:
    """Update a custom property.

    Args:
        property_id: Custom property ID (string).
        params: Fields to update.

    Returns:
        The updated ``CustomProperty``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Property not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        prop = ws.update_custom_property(
            "abc123",
            UpdateCustomPropertyParams(name="Renamed Property"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True)
    raw = client.update_custom_property(property_id, body)
    return CustomProperty.model_validate(raw)

delete_custom_property ¶

delete_custom_property(property_id: str) -> None

Delete a custom property.

PARAMETER	DESCRIPTION
`property_id`	Custom property ID (string). TYPE: `str`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Property not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_custom_property("abc123")

Source code in src/mixpanel_data/workspace.py

def delete_custom_property(self, property_id: str) -> None:
    """Delete a custom property.

    Args:
        property_id: Custom property ID (string).

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Property not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_custom_property("abc123")
        ```
    """
    client = self._require_api_client()
    client.delete_custom_property(property_id)

validate_custom_property ¶

validate_custom_property(params: CreateCustomPropertyParams) -> dict[str, Any]

Validate a custom property definition without creating it.

PARAMETER	DESCRIPTION
`params`	Custom property parameters to validate. TYPE: `CreateCustomPropertyParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Validation result as a raw dictionary.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
result = ws.validate_custom_property(
    CreateCustomPropertyParams(
        name="Full Name",
        display_formula='concat(properties["first"], " ", properties["last"])',
        composed_properties={"first": ComposedPropertyValue(resource_type="event"), "last": ComposedPropertyValue(resource_type="event")},
        resource_type="event",
    )
)
print(result)

Source code in src/mixpanel_data/workspace.py

def validate_custom_property(
    self, params: CreateCustomPropertyParams
) -> dict[str, Any]:
    """Validate a custom property definition without creating it.

    Args:
        params: Custom property parameters to validate.

    Returns:
        Validation result as a raw dictionary.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        result = ws.validate_custom_property(
            CreateCustomPropertyParams(
                name="Full Name",
                display_formula='concat(properties["first"], " ", properties["last"])',
                composed_properties={"first": ComposedPropertyValue(resource_type="event"), "last": ComposedPropertyValue(resource_type="event")},
                resource_type="event",
            )
        )
        print(result)
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True, by_alias=True)
    return client.validate_custom_property(body)

list_lookup_tables ¶

list_lookup_tables(*, data_group_id: int | None = None) -> list[LookupTable]

List lookup tables.

PARAMETER	DESCRIPTION
`data_group_id`	Optional filter by data group ID. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[LookupTable]`	List of `LookupTable` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
tables = ws.list_lookup_tables()
for t in tables:
    print(f"{t.name} (mapped={t.has_mapped_properties})")

Source code in src/mixpanel_data/workspace.py

def list_lookup_tables(
    self, *, data_group_id: int | None = None
) -> list[LookupTable]:
    """List lookup tables.

    Args:
        data_group_id: Optional filter by data group ID.

    Returns:
        List of ``LookupTable`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        tables = ws.list_lookup_tables()
        for t in tables:
            print(f"{t.name} (mapped={t.has_mapped_properties})")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_lookup_tables(data_group_id=data_group_id)
    return [LookupTable.model_validate(x) for x in raw_list]

upload_lookup_table ¶

upload_lookup_table(
    params: UploadLookupTableParams,
    *,
    poll_interval: float = 2.0,
    max_poll_seconds: float = 300.0,
) -> LookupTable

Upload a CSV file as a new lookup table.

Performs a 3-step upload process: 1. Obtains a signed upload URL from the API. 2. Uploads the CSV file to the signed URL. 3. Registers the lookup table with the uploaded data.

For files >= 5 MB, the API processes the upload asynchronously. This method automatically polls until processing completes.

PARAMETER	DESCRIPTION
`params`	Upload parameters including `name`, `file_path` (path to the CSV file), and optional `data_group_id`. TYPE: `UploadLookupTableParams`
`poll_interval`	Seconds between status polls for async uploads. TYPE: `float` DEFAULT: `2.0`
`max_poll_seconds`	Maximum seconds to wait for async processing. TYPE: `float` DEFAULT: `300.0`

RETURNS	DESCRIPTION
`LookupTable`	The created `LookupTable` object.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400) or file not found.
`ServerError`	Server-side errors (5xx).
`FileNotFoundError`	If the CSV file does not exist.
`MixpanelDataError`	Async processing timed out or failed.

Example

ws = Workspace()
table = ws.upload_lookup_table(
    UploadLookupTableParams(
        name="Country Codes",
        file_path="/path/to/countries.csv",
    )
)
print(f"Created: {table.name}")

Source code in src/mixpanel_data/workspace.py

def upload_lookup_table(
    self,
    params: UploadLookupTableParams,
    *,
    poll_interval: float = 2.0,
    max_poll_seconds: float = 300.0,
) -> LookupTable:
    """Upload a CSV file as a new lookup table.

    Performs a 3-step upload process:
    1. Obtains a signed upload URL from the API.
    2. Uploads the CSV file to the signed URL.
    3. Registers the lookup table with the uploaded data.

    For files >= 5 MB, the API processes the upload asynchronously.
    This method automatically polls until processing completes.

    Args:
        params: Upload parameters including ``name``, ``file_path``
            (path to the CSV file), and optional ``data_group_id``.
        poll_interval: Seconds between status polls for async uploads.
        max_poll_seconds: Maximum seconds to wait for async processing.

    Returns:
        The created ``LookupTable`` object.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400) or file not found.
        ServerError: Server-side errors (5xx).
        FileNotFoundError: If the CSV file does not exist.
        MixpanelDataError: Async processing timed out or failed.

    Example:
        ```python
        ws = Workspace()
        table = ws.upload_lookup_table(
            UploadLookupTableParams(
                name="Country Codes",
                file_path="/path/to/countries.csv",
            )
        )
        print(f"Created: {table.name}")
        ```
    """
    client = self._require_api_client()
    logger = logging.getLogger(__name__)

    # Step 1: Get signed upload URL
    url_info = client.get_lookup_upload_url()

    # Step 2: Read and upload the CSV file
    csv_bytes = Path(params.file_path).read_bytes()
    client.upload_to_signed_url(url_info["url"], csv_bytes)

    # Step 3: Register the lookup table
    form_data: dict[str, str] = {
        "name": params.name,
        "path": url_info["path"],
        "key": url_info["key"],
    }
    if params.data_group_id is not None:
        form_data["data-group-id"] = str(params.data_group_id)

    raw = client.register_lookup_table(form_data)

    # The API returns {"uploadId": "..."} for files >= 5 MB,
    # indicating async processing via Celery.
    upload_id = raw.get("uploadId") if isinstance(raw, dict) else None
    if upload_id is not None:
        logger.info(
            "Lookup table upload is processing asynchronously "
            "(uploadId=%s), polling for completion...",
            upload_id,
        )
        raw = self._poll_lookup_upload(
            client, upload_id, poll_interval, max_poll_seconds
        )

    # Upload response may only contain {'id': '...'} without 'name';
    # inject the name from params so LookupTable validation succeeds.
    if isinstance(raw, dict) and "name" not in raw:
        raw = {**raw, "name": params.name}
    return LookupTable.model_validate(raw)

mark_lookup_table_ready ¶

mark_lookup_table_ready(params: MarkLookupTableReadyParams) -> LookupTable

Mark a lookup table as ready after upload.

PARAMETER	DESCRIPTION
`params`	Parameters including `name`, `key`, and optional `data_group_id`. TYPE: `MarkLookupTableReadyParams`

RETURNS	DESCRIPTION
`LookupTable`	The updated `LookupTable`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
table = ws.mark_lookup_table_ready(
    MarkLookupTableReadyParams(
        name="Country Codes",
        key="uploads/abc123.csv",
    )
)

Source code in src/mixpanel_data/workspace.py

def mark_lookup_table_ready(
    self, params: MarkLookupTableReadyParams
) -> LookupTable:
    """Mark a lookup table as ready after upload.

    Args:
        params: Parameters including ``name``, ``key``, and optional
            ``data_group_id``.

    Returns:
        The updated ``LookupTable``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        table = ws.mark_lookup_table_ready(
            MarkLookupTableReadyParams(
                name="Country Codes",
                key="uploads/abc123.csv",
            )
        )
        ```
    """
    client = self._require_api_client()
    form_data: dict[str, str] = {
        "name": params.name,
        "key": params.key,
    }
    if params.data_group_id is not None:
        form_data["data-group-id"] = str(params.data_group_id)

    raw = client.mark_lookup_table_ready(form_data)
    return LookupTable.model_validate(raw)

get_lookup_upload_url ¶

get_lookup_upload_url(content_type: str = 'text/csv') -> LookupTableUploadUrl

Get a signed URL for uploading lookup table data.

PARAMETER	DESCRIPTION
`content_type`	MIME type of the file to upload (default: `"text/csv"`). TYPE: `str` DEFAULT: `'text/csv'`

RETURNS	DESCRIPTION
`LookupTableUploadUrl`	`LookupTableUploadUrl` with the signed URL, path, and key.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
url_info = ws.get_lookup_upload_url()
print(url_info.url)

Source code in src/mixpanel_data/workspace.py

def get_lookup_upload_url(
    self, content_type: str = "text/csv"
) -> LookupTableUploadUrl:
    """Get a signed URL for uploading lookup table data.

    Args:
        content_type: MIME type of the file to upload
            (default: ``"text/csv"``).

    Returns:
        ``LookupTableUploadUrl`` with the signed URL, path, and key.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        url_info = ws.get_lookup_upload_url()
        print(url_info.url)
        ```
    """
    client = self._require_api_client()
    raw = client.get_lookup_upload_url(content_type)
    return LookupTableUploadUrl.model_validate(raw)

get_lookup_upload_status ¶

get_lookup_upload_status(upload_id: str) -> dict[str, Any]

Get the processing status of a lookup table upload.

PARAMETER	DESCRIPTION
`upload_id`	Upload ID returned from the upload process. TYPE: `str`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw status dictionary with processing details.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Upload not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
status = ws.get_lookup_upload_status("upload-abc123")
print(status["state"])

Source code in src/mixpanel_data/workspace.py

def get_lookup_upload_status(self, upload_id: str) -> dict[str, Any]:
    """Get the processing status of a lookup table upload.

    Args:
        upload_id: Upload ID returned from the upload process.

    Returns:
        Raw status dictionary with processing details.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Upload not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        status = ws.get_lookup_upload_status("upload-abc123")
        print(status["state"])
        ```
    """
    client = self._require_api_client()
    return client.get_lookup_upload_status(upload_id)

update_lookup_table ¶

update_lookup_table(
    data_group_id: int, params: UpdateLookupTableParams
) -> LookupTable

Update a lookup table.

PARAMETER	DESCRIPTION
`data_group_id`	Data group ID of the lookup table. TYPE: `int`
`params`	Fields to update. TYPE: `UpdateLookupTableParams`

RETURNS	DESCRIPTION
`LookupTable`	The updated `LookupTable`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Table not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
table = ws.update_lookup_table(
    123,
    UpdateLookupTableParams(name="Renamed Table"),
)

Source code in src/mixpanel_data/workspace.py

def update_lookup_table(
    self, data_group_id: int, params: UpdateLookupTableParams
) -> LookupTable:
    """Update a lookup table.

    Args:
        data_group_id: Data group ID of the lookup table.
        params: Fields to update.

    Returns:
        The updated ``LookupTable``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Table not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        table = ws.update_lookup_table(
            123,
            UpdateLookupTableParams(name="Renamed Table"),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_lookup_table(data_group_id, body)
    return LookupTable.model_validate(raw)

delete_lookup_tables ¶

delete_lookup_tables(data_group_ids: list[int]) -> None

Delete one or more lookup tables.

PARAMETER	DESCRIPTION
`data_group_ids`	List of data group IDs to delete. TYPE: `list[int]`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_lookup_tables([123, 456])

Source code in src/mixpanel_data/workspace.py

def delete_lookup_tables(self, data_group_ids: list[int]) -> None:
    """Delete one or more lookup tables.

    Args:
        data_group_ids: List of data group IDs to delete.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_lookup_tables([123, 456])
        ```
    """
    client = self._require_api_client()
    client.delete_lookup_tables(data_group_ids)

download_lookup_table ¶

download_lookup_table(
    data_group_id: int,
    *,
    file_name: str | None = None,
    limit: int | None = None,
) -> bytes

Download lookup table data as raw bytes (CSV).

PARAMETER	DESCRIPTION
`data_group_id`	Data group ID of the lookup table. TYPE: `int`
`file_name`	Optional file name filter. TYPE: `str \| None` DEFAULT: `None`
`limit`	Optional row limit. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`bytes`	Raw CSV bytes of the lookup table data.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Table not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
csv_data = ws.download_lookup_table(123)
Path("output.csv").write_bytes(csv_data)

Source code in src/mixpanel_data/workspace.py

def download_lookup_table(
    self,
    data_group_id: int,
    *,
    file_name: str | None = None,
    limit: int | None = None,
) -> bytes:
    """Download lookup table data as raw bytes (CSV).

    Args:
        data_group_id: Data group ID of the lookup table.
        file_name: Optional file name filter.
        limit: Optional row limit.

    Returns:
        Raw CSV bytes of the lookup table data.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Table not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        csv_data = ws.download_lookup_table(123)
        Path("output.csv").write_bytes(csv_data)
        ```
    """
    client = self._require_api_client()
    return client.download_lookup_table(
        data_group_id, file_name=file_name, limit=limit
    )

get_lookup_download_url ¶

get_lookup_download_url(data_group_id: int) -> str

Get a signed download URL for a lookup table.

PARAMETER	DESCRIPTION
`data_group_id`	Data group ID of the lookup table. TYPE: `int`

RETURNS	DESCRIPTION
`str`	Signed URL string for downloading the lookup table data.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Table not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
url = ws.get_lookup_download_url(123)
print(url)

Source code in src/mixpanel_data/workspace.py

def get_lookup_download_url(self, data_group_id: int) -> str:
    """Get a signed download URL for a lookup table.

    Args:
        data_group_id: Data group ID of the lookup table.

    Returns:
        Signed URL string for downloading the lookup table data.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Table not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        url = ws.get_lookup_download_url(123)
        print(url)
        ```
    """
    client = self._require_api_client()
    return client.get_lookup_download_url(data_group_id)

list_custom_events ¶

list_custom_events() -> list[EventDefinition]

List all custom events.

RETURNS	DESCRIPTION
`list[EventDefinition]`	List of `EventDefinition` objects for custom events.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
events = ws.list_custom_events()
for e in events:
    print(e.name)

Source code in src/mixpanel_data/workspace.py

def list_custom_events(self) -> list[EventDefinition]:
    """List all custom events.

    Returns:
        List of ``EventDefinition`` objects for custom events.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        events = ws.list_custom_events()
        for e in events:
            print(e.name)
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_custom_events()
    return [EventDefinition.model_validate(x) for x in raw_list]

update_custom_event ¶

update_custom_event(
    custom_event_id: int, params: UpdateEventDefinitionParams
) -> EventDefinition

Update a custom event's lexicon entry (description, tags, etc.).

The Mixpanel data-definitions/events/ endpoint matches updates by the most specific identifier; for custom events that's the customEventId. This SDK method requires the id (rather than the display name) to avoid creating orphan lexicon entries — passing a name alone causes the server to fabricate a new, unlinked entry.

Get the id from :meth:create_custom_event's return value (CustomEvent.id) or from the custom_event_id field on entries returned by :meth:list_custom_events.

PARAMETER	DESCRIPTION
`custom_event_id`	Server-assigned custom event ID. TYPE: `int`
`params`	Fields to update. See :class:`UpdateEventDefinitionParams` for the full list of supported fields. TYPE: `UpdateEventDefinitionParams`

RETURNS	DESCRIPTION
`EventDefinition`	The updated `EventDefinition` (lexicon view of the custom
`EventDefinition`	event, with `custom_event_id` populated).

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404) or validation error (400).
`ServerError`	Server-side errors (5xx).
`MixpanelDataError`	Server returned an entry with a different `customEventId` than requested (`code="UPDATE_TARGET_MISMATCH"`).

Example

ws = Workspace()
ce = ws.create_custom_event(CreateCustomEventParams(
    name="Metric Tree Opened", alternatives=["Enter room"],
))
event = ws.update_custom_event(
    ce.id,
    UpdateEventDefinitionParams(
        description="Fires when a user opens a metric tree canvas.",
        verified=True,
    ),
)

Source code in src/mixpanel_data/workspace.py

def update_custom_event(
    self, custom_event_id: int, params: UpdateEventDefinitionParams
) -> EventDefinition:
    """Update a custom event's lexicon entry (description, tags, etc.).

    The Mixpanel ``data-definitions/events/`` endpoint matches updates by
    the most specific identifier; for custom events that's the
    ``customEventId``. This SDK method requires the id (rather than the
    display name) to avoid creating orphan lexicon entries — passing a
    name alone causes the server to fabricate a new, unlinked entry.

    Get the id from :meth:`create_custom_event`'s return value
    (``CustomEvent.id``) or from the ``custom_event_id`` field on entries
    returned by :meth:`list_custom_events`.

    Args:
        custom_event_id: Server-assigned custom event ID.
        params: Fields to update. See
            :class:`UpdateEventDefinitionParams` for the full list of
            supported fields.

    Returns:
        The updated ``EventDefinition`` (lexicon view of the custom
        event, with ``custom_event_id`` populated).

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404) or validation error (400).
        ServerError: Server-side errors (5xx).
        MixpanelDataError: Server returned an entry with a different
            ``customEventId`` than requested
            (``code="UPDATE_TARGET_MISMATCH"``).

    Example:
        ```python
        ws = Workspace()
        ce = ws.create_custom_event(CreateCustomEventParams(
            name="Metric Tree Opened", alternatives=["Enter room"],
        ))
        event = ws.update_custom_event(
            ce.id,
            UpdateEventDefinitionParams(
                description="Fires when a user opens a metric tree canvas.",
                verified=True,
            ),
        )
        ```
    """
    client = self._require_api_client()
    body = params.model_dump(exclude_none=True)
    raw = client.update_custom_event(custom_event_id, body)
    return EventDefinition.model_validate(raw)

delete_custom_event ¶

delete_custom_event(custom_event_id: int) -> None

Delete a custom event.

Identifies the entry by custom_event_id (not name) for the same reason :meth:update_custom_event does: a name-only DELETE against the data-definitions endpoint is ambiguous when multiple entries share a display name and may silently delete the wrong row, an auto-derived orphan lexicon entry, or no-op while still reporting success.

Get the id from :meth:create_custom_event's return value (CustomEvent.id) or from the custom_event_id field on entries returned by :meth:list_custom_events.

PARAMETER	DESCRIPTION
`custom_event_id`	Server-assigned custom event ID. TYPE: `int`

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Event not found (404).
`ServerError`	Server-side errors (5xx).

Example

ws = Workspace()
ws.delete_custom_event(42)

Source code in src/mixpanel_data/workspace.py

def delete_custom_event(self, custom_event_id: int) -> None:
    """Delete a custom event.

    Identifies the entry by ``custom_event_id`` (not name) for the
    same reason :meth:`update_custom_event` does: a name-only DELETE
    against the data-definitions endpoint is ambiguous when multiple
    entries share a display name and may silently delete the wrong row,
    an auto-derived orphan lexicon entry, or no-op while still
    reporting success.

    Get the id from :meth:`create_custom_event`'s return value
    (``CustomEvent.id``) or from the ``custom_event_id`` field on
    entries returned by :meth:`list_custom_events`.

    Args:
        custom_event_id: Server-assigned custom event ID.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Event not found (404).
        ServerError: Server-side errors (5xx).

    Example:
        ```python
        ws = Workspace()
        ws.delete_custom_event(42)
        ```
    """
    client = self._require_api_client()
    client.delete_custom_event(custom_event_id)

list_schema_registry ¶

list_schema_registry(*, entity_type: str | None = None) -> list[SchemaEntry]

List schema registry entries.

PARAMETER	DESCRIPTION
`entity_type`	Filter by entity type ("event", "custom_event", "profile"). If None, returns all schemas. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[SchemaEntry]`	List of `SchemaEntry` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`RateLimitError`	Rate limit exceeded (429).

Example

ws = Workspace()
schemas = ws.list_schema_registry(entity_type="event")
for s in schemas:
    print(f"{s.name}: {s.entity_type}")

Source code in src/mixpanel_data/workspace.py

def list_schema_registry(
    self,
    *,
    entity_type: str | None = None,
) -> list[SchemaEntry]:
    """List schema registry entries.

    Args:
        entity_type: Filter by entity type ("event", "custom_event",
            "profile"). If None, returns all schemas.

    Returns:
        List of ``SchemaEntry`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        RateLimitError: Rate limit exceeded (429).

    Example:
        ```python
        ws = Workspace()
        schemas = ws.list_schema_registry(entity_type="event")
        for s in schemas:
            print(f"{s.name}: {s.entity_type}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_schema_registry(entity_type=entity_type)
    return [SchemaEntry.model_validate(r) for r in raw_list]

create_schema ¶

create_schema(
    entity_type: str, entity_name: str, schema_json: dict[str, Any]
) -> dict[str, Any]

Create a single schema definition.

PARAMETER	DESCRIPTION
`entity_type`	Entity type ("event", "custom_event", "profile"). TYPE: `str`
`entity_name`	Entity name (event name or "$user" for profile). TYPE: `str`
`schema_json`	JSON Schema Draft 7 definition. TYPE: `dict[str, Any]`

RETURNS	DESCRIPTION
`dict[str, Any]`	Created schema as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`RateLimitError`	Rate limit exceeded (429).

Example

ws = Workspace()
ws.create_schema("event", "Purchase", {
    "properties": {"amount": {"type": "number"}}
})

Source code in src/mixpanel_data/workspace.py

def create_schema(
    self,
    entity_type: str,
    entity_name: str,
    schema_json: dict[str, Any],
) -> dict[str, Any]:
    """Create a single schema definition.

    Args:
        entity_type: Entity type ("event", "custom_event", "profile").
        entity_name: Entity name (event name or "$user" for profile).
        schema_json: JSON Schema Draft 7 definition.

    Returns:
        Created schema as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        RateLimitError: Rate limit exceeded (429).

    Example:
        ```python
        ws = Workspace()
        ws.create_schema("event", "Purchase", {
            "properties": {"amount": {"type": "number"}}
        })
        ```
    """
    client = self._require_api_client()
    return client.create_schema(entity_type, entity_name, schema_json)

create_schemas_bulk ¶

create_schemas_bulk(
    params: BulkCreateSchemasParams,
) -> BulkCreateSchemasResponse

Bulk create schemas.

PARAMETER	DESCRIPTION
`params`	Bulk creation parameters with entries list and optional truncate flag. TYPE: `BulkCreateSchemasParams`

RETURNS	DESCRIPTION
`BulkCreateSchemasResponse`	Response with `added` and `deleted` counts.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).
`RateLimitError`	Rate limit exceeded (429).

Example

ws = Workspace()
result = ws.create_schemas_bulk(BulkCreateSchemasParams(
    entries=[SchemaEntry(...)], truncate=True
))
print(f"Added: {result.added}")

Source code in src/mixpanel_data/workspace.py

def create_schemas_bulk(
    self,
    params: BulkCreateSchemasParams,
) -> BulkCreateSchemasResponse:
    """Bulk create schemas.

    Args:
        params: Bulk creation parameters with entries list and
            optional truncate flag.

    Returns:
        Response with ``added`` and ``deleted`` counts.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).
        RateLimitError: Rate limit exceeded (429).

    Example:
        ```python
        ws = Workspace()
        result = ws.create_schemas_bulk(BulkCreateSchemasParams(
            entries=[SchemaEntry(...)], truncate=True
        ))
        print(f"Added: {result.added}")
        ```
    """
    client = self._require_api_client()
    raw = client.create_schemas_bulk(
        params.model_dump(exclude_none=True, by_alias=True)
    )
    return BulkCreateSchemasResponse.model_validate(raw)

update_schema ¶

update_schema(
    entity_type: str, entity_name: str, schema_json: dict[str, Any]
) -> dict[str, Any]

Update a single schema definition (merge semantics).

PARAMETER	DESCRIPTION
`entity_type`	Entity type. TYPE: `str`
`entity_name`	Entity name. TYPE: `str`
`schema_json`	Partial JSON Schema to merge with existing. TYPE: `dict[str, Any]`

RETURNS	DESCRIPTION
`dict[str, Any]`	Updated schema as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Entity not found or validation error (400, 404).
`RateLimitError`	Rate limit exceeded (429).

Example

ws = Workspace()
ws.update_schema("event", "Purchase", {
    "properties": {"tax": {"type": "number"}}
})

Source code in src/mixpanel_data/workspace.py

def update_schema(
    self,
    entity_type: str,
    entity_name: str,
    schema_json: dict[str, Any],
) -> dict[str, Any]:
    """Update a single schema definition (merge semantics).

    Args:
        entity_type: Entity type.
        entity_name: Entity name.
        schema_json: Partial JSON Schema to merge with existing.

    Returns:
        Updated schema as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Entity not found or validation error (400, 404).
        RateLimitError: Rate limit exceeded (429).

    Example:
        ```python
        ws = Workspace()
        ws.update_schema("event", "Purchase", {
            "properties": {"tax": {"type": "number"}}
        })
        ```
    """
    client = self._require_api_client()
    return client.update_schema(entity_type, entity_name, schema_json)

update_schemas_bulk ¶

update_schemas_bulk(params: BulkCreateSchemasParams) -> list[BulkPatchResult]

Bulk update schemas (merge semantics per entry).

PARAMETER	DESCRIPTION
`params`	Bulk update parameters with entries list. TYPE: `BulkCreateSchemasParams`

RETURNS	DESCRIPTION
`list[BulkPatchResult]`	List of per-entry results with status ("ok" or "error").

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`RateLimitError`	Rate limit exceeded (429).

Example

ws = Workspace()
results = ws.update_schemas_bulk(BulkCreateSchemasParams(
    entries=[SchemaEntry(...)]
))
for r in results:
    print(f"{r.name}: {r.status}")

Source code in src/mixpanel_data/workspace.py

def update_schemas_bulk(
    self,
    params: BulkCreateSchemasParams,
) -> list[BulkPatchResult]:
    """Bulk update schemas (merge semantics per entry).

    Args:
        params: Bulk update parameters with entries list.

    Returns:
        List of per-entry results with status ("ok" or "error").

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        RateLimitError: Rate limit exceeded (429).

    Example:
        ```python
        ws = Workspace()
        results = ws.update_schemas_bulk(BulkCreateSchemasParams(
            entries=[SchemaEntry(...)]
        ))
        for r in results:
            print(f"{r.name}: {r.status}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.update_schemas_bulk(
        params.model_dump(exclude_none=True, by_alias=True)
    )
    return [BulkPatchResult.model_validate(r) for r in raw_list]

delete_schemas ¶

delete_schemas(
    *, entity_type: str | None = None, entity_name: str | None = None
) -> DeleteSchemasResponse

Delete schemas by entity type and/or name.

If both provided, deletes a single schema. If only entity_type, deletes all schemas of that type. If neither, deletes all schemas.

PARAMETER	DESCRIPTION
`entity_type`	Filter by entity type. TYPE: `str \| None` DEFAULT: `None`
`entity_name`	Filter by entity name (requires entity_type). TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DeleteSchemasResponse`	Response with `delete_count`.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).
`RateLimitError`	Rate limit exceeded (429).
`MixpanelDataError`	If entity_name is provided without entity_type.

Example

ws = Workspace()
resp = ws.delete_schemas(entity_type="event", entity_name="Purchase")
print(f"Deleted: {resp.delete_count}")

Source code in src/mixpanel_data/workspace.py

def delete_schemas(
    self,
    *,
    entity_type: str | None = None,
    entity_name: str | None = None,
) -> DeleteSchemasResponse:
    """Delete schemas by entity type and/or name.

    If both provided, deletes a single schema. If only entity_type,
    deletes all schemas of that type. If neither, deletes all schemas.

    Args:
        entity_type: Filter by entity type.
        entity_name: Filter by entity name (requires entity_type).

    Returns:
        Response with ``delete_count``.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).
        RateLimitError: Rate limit exceeded (429).
        MixpanelDataError: If entity_name is provided without entity_type.

    Example:
        ```python
        ws = Workspace()
        resp = ws.delete_schemas(entity_type="event", entity_name="Purchase")
        print(f"Deleted: {resp.delete_count}")
        ```
    """
    if entity_name is not None and entity_type is None:
        raise MixpanelDataError(
            "entity_name requires entity_type: providing entity_name "
            "without entity_type would delete all schemas",
        )
    client = self._require_api_client()
    raw = client.delete_schemas(entity_type=entity_type, entity_name=entity_name)
    return DeleteSchemasResponse.model_validate(raw)

get_schema_enforcement ¶

get_schema_enforcement(*, fields: str | None = None) -> SchemaEnforcementConfig

Get current schema enforcement configuration.

PARAMETER	DESCRIPTION
`fields`	Comma-separated field names to return (e.g., "ruleEvent,state"). If None, returns all fields. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SchemaEnforcementConfig`	Schema enforcement configuration.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	No enforcement configured (404).

Example

ws = Workspace()
config = ws.get_schema_enforcement()
print(f"Rule: {config.rule_event}")

Source code in src/mixpanel_data/workspace.py

def get_schema_enforcement(
    self,
    *,
    fields: str | None = None,
) -> SchemaEnforcementConfig:
    """Get current schema enforcement configuration.

    Args:
        fields: Comma-separated field names to return (e.g.,
            "ruleEvent,state"). If None, returns all fields.

    Returns:
        Schema enforcement configuration.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: No enforcement configured (404).

    Example:
        ```python
        ws = Workspace()
        config = ws.get_schema_enforcement()
        print(f"Rule: {config.rule_event}")
        ```
    """
    client = self._require_api_client()
    raw = client.get_schema_enforcement(fields=fields)
    return SchemaEnforcementConfig.model_validate(raw)

init_schema_enforcement ¶

init_schema_enforcement(params: InitSchemaEnforcementParams) -> dict[str, Any]

Initialize schema enforcement.

PARAMETER	DESCRIPTION
`params`	Init parameters with rule_event. TYPE: `InitSchemaEnforcementParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Already initialized or invalid rule_event (400).

Example

ws = Workspace()
ws.init_schema_enforcement(
    InitSchemaEnforcementParams(rule_event="Warn and Accept")
)

Source code in src/mixpanel_data/workspace.py

def init_schema_enforcement(
    self,
    params: InitSchemaEnforcementParams,
) -> dict[str, Any]:
    """Initialize schema enforcement.

    Args:
        params: Init parameters with rule_event.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Already initialized or invalid rule_event (400).

    Example:
        ```python
        ws = Workspace()
        ws.init_schema_enforcement(
            InitSchemaEnforcementParams(rule_event="Warn and Accept")
        )
        ```
    """
    client = self._require_api_client()
    return client.init_schema_enforcement(
        params.model_dump(exclude_none=True, by_alias=True)
    )

update_schema_enforcement ¶

update_schema_enforcement(
    params: UpdateSchemaEnforcementParams,
) -> dict[str, Any]

Partially update enforcement configuration.

PARAMETER	DESCRIPTION
`params`	Partial update parameters. TYPE: `UpdateSchemaEnforcementParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	No enforcement configured or validation error (400).

Example

ws = Workspace()
ws.update_schema_enforcement(
    UpdateSchemaEnforcementParams(rule_event="Warn and Drop")
)

Source code in src/mixpanel_data/workspace.py

def update_schema_enforcement(
    self,
    params: UpdateSchemaEnforcementParams,
) -> dict[str, Any]:
    """Partially update enforcement configuration.

    Args:
        params: Partial update parameters.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: No enforcement configured or validation error (400).

    Example:
        ```python
        ws = Workspace()
        ws.update_schema_enforcement(
            UpdateSchemaEnforcementParams(rule_event="Warn and Drop")
        )
        ```
    """
    client = self._require_api_client()
    return client.update_schema_enforcement(
        params.model_dump(exclude_none=True, by_alias=True)
    )

replace_schema_enforcement ¶

replace_schema_enforcement(
    params: ReplaceSchemaEnforcementParams,
) -> dict[str, Any]

Fully replace enforcement configuration.

PARAMETER	DESCRIPTION
`params`	Complete replacement parameters. TYPE: `ReplaceSchemaEnforcementParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).

Example

ws = Workspace()
ws.replace_schema_enforcement(ReplaceSchemaEnforcementParams(
    events=[...], common_properties=[...],
    user_properties=[...], rule_event="Warn and Hide",
    notification_emails=["admin@example.com"],
))

Source code in src/mixpanel_data/workspace.py

def replace_schema_enforcement(
    self,
    params: ReplaceSchemaEnforcementParams,
) -> dict[str, Any]:
    """Fully replace enforcement configuration.

    Args:
        params: Complete replacement parameters.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).

    Example:
        ```python
        ws = Workspace()
        ws.replace_schema_enforcement(ReplaceSchemaEnforcementParams(
            events=[...], common_properties=[...],
            user_properties=[...], rule_event="Warn and Hide",
            notification_emails=["admin@example.com"],
        ))
        ```
    """
    client = self._require_api_client()
    return client.replace_schema_enforcement(
        params.model_dump(exclude_none=True, by_alias=True)
    )

delete_schema_enforcement ¶

delete_schema_enforcement() -> dict[str, Any]

Delete enforcement configuration.

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	No enforcement configured (404).

Example

ws = Workspace()
ws.delete_schema_enforcement()

Source code in src/mixpanel_data/workspace.py

def delete_schema_enforcement(self) -> dict[str, Any]:
    """Delete enforcement configuration.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: No enforcement configured (404).

    Example:
        ```python
        ws = Workspace()
        ws.delete_schema_enforcement()
        ```
    """
    client = self._require_api_client()
    return client.delete_schema_enforcement()

run_audit ¶

run_audit() -> AuditResponse

Run a full data audit (events + properties).

RETURNS	DESCRIPTION
`AuditResponse`	Audit response with violations and `computed_at` timestamp.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	No schemas defined (400).

Example

ws = Workspace()
audit = ws.run_audit()
for v in audit.violations:
    print(f"{v.violation}: {v.name} ({v.count})")

Source code in src/mixpanel_data/workspace.py

def run_audit(self) -> AuditResponse:
    """Run a full data audit (events + properties).

    Returns:
        Audit response with violations and ``computed_at`` timestamp.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: No schemas defined (400).

    Example:
        ```python
        ws = Workspace()
        audit = ws.run_audit()
        for v in audit.violations:
            print(f"{v.violation}: {v.name} ({v.count})")
        ```
    """
    client = self._require_api_client()
    raw = client.run_audit()
    # raw is [violations_list, {"computed_at": ...}]
    if not raw:
        return AuditResponse(violations=[], computed_at="")
    if not isinstance(raw[0], list):
        raise MixpanelDataError(
            f"Unexpected audit response: expected list of violations, "
            f"got {type(raw[0]).__name__}",
        )
    violations = [AuditViolation.model_validate(v) for v in raw[0]]
    metadata = raw[1] if len(raw) > 1 and isinstance(raw[1], dict) else {}
    return AuditResponse(
        violations=violations,
        computed_at=metadata.get("computed_at", ""),
    )

run_audit_events_only ¶

run_audit_events_only() -> AuditResponse

Run an events-only data audit (faster).

RETURNS	DESCRIPTION
`AuditResponse`	Audit response with event violations only.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	No schemas defined (400).

Example

ws = Workspace()
audit = ws.run_audit_events_only()

Source code in src/mixpanel_data/workspace.py

def run_audit_events_only(self) -> AuditResponse:
    """Run an events-only data audit (faster).

    Returns:
        Audit response with event violations only.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: No schemas defined (400).

    Example:
        ```python
        ws = Workspace()
        audit = ws.run_audit_events_only()
        ```
    """
    client = self._require_api_client()
    raw = client.run_audit_events_only()
    if not raw:
        return AuditResponse(violations=[], computed_at="")
    if not isinstance(raw[0], list):
        raise MixpanelDataError(
            f"Unexpected audit response: expected list of violations, "
            f"got {type(raw[0]).__name__}",
        )
    violations = [AuditViolation.model_validate(v) for v in raw[0]]
    metadata = raw[1] if len(raw) > 1 and isinstance(raw[1], dict) else {}
    return AuditResponse(
        violations=violations,
        computed_at=metadata.get("computed_at", ""),
    )

list_data_volume_anomalies ¶

list_data_volume_anomalies(
    *, query_params: dict[str, str] | None = None
) -> list[DataVolumeAnomaly]

List detected data volume anomalies.

PARAMETER	DESCRIPTION
`query_params`	Optional filters (status, limit, event_id, etc.). TYPE: `dict[str, str] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[DataVolumeAnomaly]`	List of `DataVolumeAnomaly` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).

Example

ws = Workspace()
anomalies = ws.list_data_volume_anomalies(
    query_params={"status": "open"}
)

Source code in src/mixpanel_data/workspace.py

def list_data_volume_anomalies(
    self,
    *,
    query_params: dict[str, str] | None = None,
) -> list[DataVolumeAnomaly]:
    """List detected data volume anomalies.

    Args:
        query_params: Optional filters (status, limit, event_id, etc.).

    Returns:
        List of ``DataVolumeAnomaly`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).

    Example:
        ```python
        ws = Workspace()
        anomalies = ws.list_data_volume_anomalies(
            query_params={"status": "open"}
        )
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_data_volume_anomalies(query_params=query_params)
    return [DataVolumeAnomaly.model_validate(r) for r in raw_list]

update_anomaly ¶

update_anomaly(params: UpdateAnomalyParams) -> dict[str, Any]

Update the status of a single anomaly.

PARAMETER	DESCRIPTION
`params`	Update parameters with id, status, and anomaly_class. TYPE: `UpdateAnomalyParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Anomaly not found or invalid parameters (400).

Example

ws = Workspace()
ws.update_anomaly(UpdateAnomalyParams(
    id=123, status="dismissed", anomaly_class="Event"
))

Source code in src/mixpanel_data/workspace.py

def update_anomaly(
    self,
    params: UpdateAnomalyParams,
) -> dict[str, Any]:
    """Update the status of a single anomaly.

    Args:
        params: Update parameters with id, status, and anomaly_class.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Anomaly not found or invalid parameters (400).

    Example:
        ```python
        ws = Workspace()
        ws.update_anomaly(UpdateAnomalyParams(
            id=123, status="dismissed", anomaly_class="Event"
        ))
        ```
    """
    client = self._require_api_client()
    return client.update_anomaly(params.model_dump(by_alias=True))

bulk_update_anomalies ¶

bulk_update_anomalies(params: BulkUpdateAnomalyParams) -> dict[str, Any]

Bulk update anomaly statuses.

PARAMETER	DESCRIPTION
`params`	Bulk update with anomalies list and target status. TYPE: `BulkUpdateAnomalyParams`

RETURNS	DESCRIPTION
`dict[str, Any]`	Raw API response as dict.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid parameters (400).

Example

ws = Workspace()
ws.bulk_update_anomalies(BulkUpdateAnomalyParams(
    anomalies=[BulkAnomalyEntry(id=1, anomaly_class="Event")],
    status="dismissed",
))

Source code in src/mixpanel_data/workspace.py

def bulk_update_anomalies(
    self,
    params: BulkUpdateAnomalyParams,
) -> dict[str, Any]:
    """Bulk update anomaly statuses.

    Args:
        params: Bulk update with anomalies list and target status.

    Returns:
        Raw API response as dict.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid parameters (400).

    Example:
        ```python
        ws = Workspace()
        ws.bulk_update_anomalies(BulkUpdateAnomalyParams(
            anomalies=[BulkAnomalyEntry(id=1, anomaly_class="Event")],
            status="dismissed",
        ))
        ```
    """
    client = self._require_api_client()
    return client.bulk_update_anomalies(params.model_dump(by_alias=True))

list_deletion_requests ¶

list_deletion_requests() -> list[EventDeletionRequest]

List all event deletion requests.

RETURNS	DESCRIPTION
`list[EventDeletionRequest]`	List of `EventDeletionRequest` objects.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).

Example

ws = Workspace()
for r in ws.list_deletion_requests():
    print(f"{r.event_name}: {r.status}")

Source code in src/mixpanel_data/workspace.py

def list_deletion_requests(self) -> list[EventDeletionRequest]:
    """List all event deletion requests.

    Returns:
        List of ``EventDeletionRequest`` objects.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).

    Example:
        ```python
        ws = Workspace()
        for r in ws.list_deletion_requests():
            print(f"{r.event_name}: {r.status}")
        ```
    """
    client = self._require_api_client()
    raw_list = client.list_deletion_requests()
    return [EventDeletionRequest.model_validate(r) for r in raw_list]

create_deletion_request ¶

create_deletion_request(
    params: CreateDeletionRequestParams,
) -> list[EventDeletionRequest]

Create a new event deletion request.

PARAMETER	DESCRIPTION
`params`	Deletion parameters with event_name, from_date, to_date, and optional filters. TYPE: `CreateDeletionRequestParams`

RETURNS	DESCRIPTION
`list[EventDeletionRequest]`	Updated full list of deletion requests.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Validation error (400).

Example

ws = Workspace()
requests = ws.create_deletion_request(
    CreateDeletionRequestParams(
        event_name="Test", from_date="2026-01-01",
        to_date="2026-01-31",
    )
)

Source code in src/mixpanel_data/workspace.py

def create_deletion_request(
    self,
    params: CreateDeletionRequestParams,
) -> list[EventDeletionRequest]:
    """Create a new event deletion request.

    Args:
        params: Deletion parameters with event_name, from_date,
            to_date, and optional filters.

    Returns:
        Updated full list of deletion requests.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Validation error (400).

    Example:
        ```python
        ws = Workspace()
        requests = ws.create_deletion_request(
            CreateDeletionRequestParams(
                event_name="Test", from_date="2026-01-01",
                to_date="2026-01-31",
            )
        )
        ```
    """
    client = self._require_api_client()
    raw_list = client.create_deletion_request(
        params.model_dump(exclude_none=True, by_alias=True)
    )
    return [EventDeletionRequest.model_validate(r) for r in raw_list]

cancel_deletion_request ¶

cancel_deletion_request(request_id: int) -> list[EventDeletionRequest]

Cancel a pending deletion request.

PARAMETER	DESCRIPTION
`request_id`	Deletion request ID to cancel. TYPE: `int`

RETURNS	DESCRIPTION
`list[EventDeletionRequest]`	Updated full list of deletion requests.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Request not found or not cancellable (400).

Example

ws = Workspace()
requests = ws.cancel_deletion_request(42)

Source code in src/mixpanel_data/workspace.py

def cancel_deletion_request(self, request_id: int) -> list[EventDeletionRequest]:
    """Cancel a pending deletion request.

    Args:
        request_id: Deletion request ID to cancel.

    Returns:
        Updated full list of deletion requests.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Request not found or not cancellable (400).

    Example:
        ```python
        ws = Workspace()
        requests = ws.cancel_deletion_request(42)
        ```
    """
    client = self._require_api_client()
    raw_list = client.cancel_deletion_request(request_id)
    return [EventDeletionRequest.model_validate(r) for r in raw_list]

preview_deletion_filters ¶

preview_deletion_filters(
    params: PreviewDeletionFiltersParams,
) -> list[dict[str, Any]]

Preview what events a deletion filter would match.

This is a read-only operation that does not modify any data.

PARAMETER	DESCRIPTION
`params`	Preview parameters with event_name, date range, and optional filters. TYPE: `PreviewDeletionFiltersParams`

RETURNS	DESCRIPTION
`list[dict[str, Any]]`	List of expanded/normalized filters.

RAISES	DESCRIPTION
`ConfigError`	If credentials are not available.
`AuthenticationError`	Invalid credentials (401).
`QueryError`	Invalid filter parameters (400).

Example

ws = Workspace()
preview = ws.preview_deletion_filters(
    PreviewDeletionFiltersParams(
        event_name="Test", from_date="2026-01-01",
        to_date="2026-01-31",
    )
)

Source code in src/mixpanel_data/workspace.py

def preview_deletion_filters(
    self,
    params: PreviewDeletionFiltersParams,
) -> list[dict[str, Any]]:
    """Preview what events a deletion filter would match.

    This is a read-only operation that does not modify any data.

    Args:
        params: Preview parameters with event_name, date range,
            and optional filters.

    Returns:
        List of expanded/normalized filters.

    Raises:
        ConfigError: If credentials are not available.
        AuthenticationError: Invalid credentials (401).
        QueryError: Invalid filter parameters (400).

    Example:
        ```python
        ws = Workspace()
        preview = ws.preview_deletion_filters(
            PreviewDeletionFiltersParams(
                event_name="Test", from_date="2026-01-01",
                to_date="2026-01-31",
            )
        )
        ```
    """
    client = self._require_api_client()
    return client.preview_deletion_filters(
        params.model_dump(exclude_none=True, by_alias=True)
    )

Workspace¶

Overview¶

Key Features¶

Entity CRUD¶

Feature Flags & Experiments¶

Data Governance¶

In-Session Switching¶

Class Reference¶

mixpanel_data.Workspace ¶

account property ¶

project property ¶

workspace property ¶

session property ¶

api property ¶

close ¶

use ¶

me ¶

projects ¶

workspaces ¶

list_workspaces ¶

resolve_workspace_id ¶

events ¶

properties ¶

property_values ¶

subproperties ¶

funnels ¶

cohorts ¶

list_bookmarks ¶

top_events ¶

lexicon_schemas ¶

lexicon_schema ¶

clear_discovery_cache ¶

stream_events ¶

stream_profiles ¶

query ¶

build_params ¶

query_funnel ¶

build_funnel_params ¶

query_retention ¶

build_retention_params ¶

query_flow ¶

build_flow_params ¶

query_user ¶

build_user_params ¶

segmentation ¶

funnel ¶

retention ¶

jql ¶

event_counts ¶

property_counts ¶

activity_feed ¶

query_saved_report ¶

query_saved_flows ¶

frequency ¶

segmentation_numeric ¶

segmentation_sum ¶

segmentation_average ¶

property_distribution ¶

numeric_summary ¶

daily_counts ¶

engagement_distribution ¶

property_coverage ¶

list_dashboards ¶

create_dashboard ¶

get_dashboard ¶

update_dashboard ¶

delete_dashboard ¶

bulk_delete_dashboards ¶

favorite_dashboard ¶

unfavorite_dashboard ¶

pin_dashboard ¶

unpin_dashboard ¶

add_report_to_dashboard ¶

remove_report_from_dashboard ¶

list_blueprint_templates ¶

create_blueprint ¶

get_blueprint_config ¶

update_blueprint_cohorts ¶

finalize_blueprint ¶

create_rca_dashboard ¶

account `property` ¶

project `property` ¶

workspace `property` ¶

session `property` ¶

api `property` ¶