Reference for fileForensics runs: endpoints, request rules, statuses, every detector and the errors you can get. For what fileForensics is and how it’s metered, see the overview. For a first run end to end, see the quickstart.

How it works

A run checks a file that is already stored in your workspace, identified by its file_id, so there is no upload in the request. Each result appears under forensics.<key> once that detector has reported.
1

Start a run

POST /v1/forensics returns 202 with a run_id, status: "queued" and a poll_url. Runs started at upload with enabledProducts: ["FILE_FORENSICS"] run all 19 detectors; read them with GET /v1/forensics/files/{file_id}.
2

Poll

GET /v1/forensics/runs/{run_id} until status is complete or error. Web presence can take up to about 180 seconds.
3

Retry if stuck

A run still queued or running after about 6 minutes is stuck. POST /v1/forensics/runs/{run_id}/retry re-runs the same file and spec_filter under a new run_id, which is the one to poll. The original run then reports error.
4

Clean up

DELETE /v1/forensics/runs/{run_id} once you have the result. The file itself is not affected.
Forensics runs are not jobs: they do not appear on GET /v1/jobs/{job_id} and have no callback. See Async jobs for how they compare with other async work.

Endpoints

Request

spec_filter is required so that a detector added later cannot silently change what an existing integration runs.

Response

Run status

Detector status

Every detector result has a status, and usually a one-line value. Route on each detector’s status, not the run’s: a complete run can still contain an issue.
For web_presence, the combined web_presence boolean is absent when the run reached no conclusion (still running, skip or error). Do not read a missing value as “not found on the web”.

Detectors

The MCP tool run_file_forensics offers 17 of these: all except ai_pdf_detection and ai_office_detection. See MCP tools.

Errors

See Errors for the response format.

Forensics quickstart

Run your first check end to end.

Document integrity checks

Choose detectors per document and route on the result.

Uploads

Store a file and get its fileId.

MCP tools

Run fileForensics from an AI assistant.