sayintel
Endpoint

Accept borderline fits

POST/api/public/v1/campaigns/{campaign_id}/fits/accept-borderlinewrite

Accept borderline / needs-input speakers as fits and record each ruling as a qualifier correction for classifier learning. Omit speaker_ids to accept the whole borderline pile.

Request

curl -X POST "https://sayintel.com/api/public/v1/campaigns/<campaign_id>/fits/accept-borderline" \
  -H "Authorization: Bearer $SAYINTEL_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{}'

Try it out

Try it outPOST/api/public/v1/campaigns/{campaign_id}/fits/accept-borderlinewrite

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Paste an API key to run.

Path parameters

NameInTypeRequiredDescription
campaign_idpathstringyes—

Body

NameInTypeRequiredDescription
speaker_idsbodyarrayno—
limitbodynumberno—

Response

{
  "ok": true,
  "tool": "accept_borderline_fits",
  "kind": "write",
  "data": { ... },
  "error": null
}

Notes

  • Scope required: write. How scopes work.
  • Accepts Idempotency-Key. A retry with the same key replays the first result instead of repeating the work.
  • Same capability over MCP as the tool accept_borderline_fits. MCP setup.