Classify Row
classify_rowCheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, evidence_url, quote, status: found|inferred|not_established} — "found" only when the model's quote is independently verified as a verbatim substring of the text used. Pass text directly (cheapest — no fetch) or entity.domain to fetch the homepage once as a fallback. No text and no domain means every label is not_established with no model call made.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to classify directly (a description, a page you already fetched, etc.) — cheapest path, skips any fetch. | |
| entity | Yes | The row/company to classify. At least one of name/domain required. | |
| labels | Yes | Candidate labels to test, 2-30 strings, e.g. ["healthcare","fintech","logistics"]. |