Authorizations
Admin API key must be prefixed with "Key ", e.g. Authorization: Key YOUR_ADMIN_API_KEY
Query Parameters
Maximum number of items to return. Actual maximum depends on query type and expansion parameters.
x >= 150
Pagination cursor from previous response. Encodes the page number.
"Mg=="
Start date in ISO8601 format (e.g., '2025-01-01T00:00:00Z' or '2025-01-01'). Defaults to 24 hours ago.
"2025-01-01T00:00:00Z"
End date in ISO8601 format (e.g., '2025-01-31T23:59:59Z' or '2025-01-31'). Defaults to current time.
"2025-01-31T23:59:59Z"
Timezone for date aggregation and boundaries. All timestamps in responses are in UTC, but this controls how dates are bucketed.
"UTC"
Aggregation timeframe for timeseries data (auto-detected from date range if not specified). Auto-detection uses: minute (<2h), hour (<2d), day (<64d), week (<183d), month (>=183d).
minute, hour, day, week, month "day"
Whether to adjust start/end dates to align with timeframe boundaries and use exclusive end. Defaults to true. When true, dates are aligned to the start of the timeframe period (e.g., start of day) and end is made exclusive (e.g., start of next day). When false, uses exact dates provided.
true, false "true"
Filter by specific endpoint ID(s). Must provide at least 1 endpoint ID (1-50 models). Supports comma-separated values: ?endpoint_id=model1,model2 or array syntax: ?endpoint_id=model1&endpoint_id=model2
["fal-ai/flux/dev"]Data to include in the response. Use 'time_series' for time-bucketed data, 'summary' for aggregate statistics, and 'auth_method' to include authentication method information (formatted with user key aliases). At least one of 'time_series' or 'summary' is required.
["time_series", "auth_method"]Response
Usage data retrieved successfully
Response containing usage data with pagination support
Cursor for the next page of results, null if no more pages
Boolean indicating if more results are available (convenience field derived from next_cursor)
Time series usage data grouped by time bucket (when expand includes 'time_series'). Each bucket contains all usage records for that time period.
Aggregate statistics (when expand includes 'summary')