Usage
Time-bucketed, aggregated serverless compute usage for your own account —
the machine-seconds your deployed serverless apps consumed, priced with your
machine prices and net of discounts. This matches the serverless portion of the
dashboard usage view. Unlike /v1/models/usage (which reports your model API
endpoint calls), this reports the compute spend of the apps you run on fal
Serverless. Results are always scoped to the apps you own.
Requires an ADMIN-scoped API key — this endpoint returns billing and
usage data, which the standard API key scope does not include.
Filtering by app:
app— exact match on one or more app names (comma-separated or repeated, up to 50):?app=my-app-dev,my-app-prod. Use the value exactly as it appears in the responseappfield.search— case-insensitive substring match on the app name, for when you know the name but not the exact environment/version suffix:?search=my-appreturns everymy-app*variant.- Provide both to AND them. Omit both to return every app you own — useful for discovering the exact app names to filter on.
Expansions:
time_series: usage grouped into time buckets (default)summary: a single aggregate row per app × machine type across the window
Notes:
- Each row is machine-seconds (
unitis always"second"); surge and non-surge usage of the same app/machine come back as separate rows (is_surge), so sum across them for a per-app total. - Time-series
buckettimestamps are returned in thetimezoneyou request (ISO 8601 with offset, e.g.2025-01-15T00:00:00-05:00), which also controls how usage is grouped into buckets.
Common Use Cases:
- Track your serverless apps’ compute consumption and cost over time
- Break down spend per app, environment, and machine type
- Export usage to your own billing/observability tooling
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, exclusive (e.g., '2025-02-01T00:00:00Z' or '2025-02-01'). Data up to but not including this timestamp is returned. Defaults to current time.
"2025-02-01T00:00:00Z"
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 to one or more serverless apps, matched exactly against the app value in the response (deployed name, owner prefix stripped). Accepts a comma-separated list or repeated parameter (1-50). For partial/name-only matching use search.
["autohdr-raw-to-jpg-dev"]Case-insensitive substring match on the app name — returns every app whose name contains this term (e.g. search=autohdr matches all autohdr-* apps across environments). Combined with app via AND when both are given.
"autohdr-raw-to-jpg"
Data to include in the response. Use 'time_series' for time-bucketed data and 'summary' for aggregate statistics across the entire window. At least one is required.
["time_series", "summary"]Response
Usage data retrieved successfully
Response containing serverless 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').
Aggregate statistics (when expand includes 'summary')