Score content
Score content against the model’s traits. URLs in content are auto-fetched and their extracted text is scored. Plain-text bodies (curl convenience: pipe a string or URL with no JSON wrapper) are accepted alongside JSON. Set Accept: text/plain for the bar-chart formatter.
SendDocumentation Index
Fetch the complete documentation index at: https://u22a8-police-sweep-2026-06-01.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
content as JSON, or the raw text with Content-Type: text/plain. A URL in content is fetched and its extracted text is scored. Set Accept: text/plain for a bar-chart rendering instead of JSON. An optional feedback map captures labels as new samples for continuous learning. The full response shape is documented in the score card.Authorizations
API key issued in the platform console, sent as Authorization: Bearer <key>.
Path Parameters
Model handle, e.g. 'u22a8.technical-writing'.
"u22a8.technical-writing"
Body
Text or URL to score. URLs are auto-fetched.
"https://example.com/article"
Score only these traits. Omit to score all.
Optional {trait_key_or_name: label_or_quality} map for continuous learning. When supplied, each entry is captured as a labelled sample alongside the score. Values may be a polarity label ("positive"|"negative"|"good"|...) or a float in [0, 1]. Rejected with feature_unavailable on models with zero-data-retention enabled.
{ "clarity": "positive", "depth": 0.8 }Response
Successful Response
Audit and lifecycle metadata attached to a score response.
version_id is the active snapshot the score served from, formatted
as "vN" to match the pinned-handle form (handle@vN); null
before the first train. sample_ids is populated only when the
request included a feedback block — one id per trait whose feedback
was captured.