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AI Observability as a Service

Scan History

How daily scan history works, how to query it, and what to expect for new prompts.

Scan History

How scans run

Every tracked prompt is scanned once daily. The scan cycle starts at 03:00 UTC and processes all active prompts across every configured AI engine. Results are typically available 1–4 hours after the cycle starts — by 04:00–07:00 UTC most days.

Each scan produces one run per engine per prompt. A prompt configured for ChatGPT and Gemini in the US generates two runs per day.


Querying history

Use GET /v1/aeo/prompts/{id}/runs to retrieve the full scan history for a prompt:

curl "https://api.reddgrow.ai/v1/aeo/prompts/1234/runs?from=2026-04-01&to=2026-04-10&limit=20&offset=0" \
  -H "x-api-key: rg_YOUR_KEY"

Available filters:

  • engine — filter to a specific AI engine
  • country — filter to a specific country
  • from / to — ISO 8601 date strings (e.g., 2026-04-01)

Pagination:

  • limit — number of results per page (default: 20)
  • offset — number of results to skip (default: 0)

To page through all results: increment offset by limit until you receive fewer results than limit.


First scan: what to expect

New prompts enter the queue immediately after creation. They are included in the next daily scan cycle that runs after they were created.

If you create a prompt at 10:00 UTC on Monday, it will be scanned during the 03:00 UTC cycle on Tuesday. Results appear by 04:00–07:00 UTC Tuesday.

There is no on-demand scan trigger. The API does not provide a way to force an immediate scan because doing so would allow runaway costs against your prompt quota.


Data retention

Account stateRetention
Active Pro accountIndefinite
Cancelled (within 90 days)Full history accessible
Cancelled (after 90 days)Data permanently deleted

Reactivating your Pro plan within the 90-day window restores full access to all historical scan data.


Backfill

Historical backfill is not available. Scan data starts from the day a prompt was first created and included in a scan cycle. If you create a prompt today, you have no data for yesterday.

To build a historical baseline, create your prompts as early as possible. Daily scans accumulate automatically — the longer a prompt has been active, the more trend data you have.