# ai_analytics_orgs_users_registered_users_trend_list

Retrieve trends of registered users over time.

This endpoint returns data on the number of new user registrations
within a specified date range, with options for different time aggregations
(hourly, daily, weekly, monthly). The data is backfilled to ensure
continuous time series even for periods with zero registrations.

Args:
    request: The HTTP request containing filter query parameters.
    org: Organization key identifier.

Returns:
    Response: Time series of user registration counts.

Raises:
    NotFound: If the specified organization does not exist.
    BadRequest: If the provided parameters are invalid.

Query Parameters:
    start_date (str): Start date for filtering (YYYY-MM-DD) - required.
    end_date (str): End date for filtering (YYYY-MM-DD) - required.
    aggregation (str): Time aggregation level (hourly, daily, weekly, monthly) - default: daily.

Endpoint: GET /api/ai-analytics/orgs/{org}/users/{user_id}/registered-users-trend/
Version: 3.59.0-ai-plus
Security: PlatformApiKeyAuthentication

## Query parameters:

  - `aggregation` (string)
    Time aggregation level (hourly, daily, weekly, monthly)
    Enum: "daily", "hourly", "monthly", "weekly"

  - `end_date` (string, required)
    End date for filtering (YYYY-MM-DD)

  - `group_by` (string)

  - `start_date` (string, required)
    Start date for filtering (YYYY-MM-DD)

## Path parameters:

  - `org` (string, required)

  - `user_id` (string, required)

## Response 200 fields (application/json):

  - `interval` (string, required)

  - `count` (integer, required)