OpenRefine Reference Catalog Reconciliation Review is a paid API for AI agents from agent.halowerk.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-29).
Reconciles a column of names against a caller-supplied reference catalog using OpenRefine edit-distance matching, returning rows grouped by match confidence (single, multiple, or no candidates) without auto-resolving ambiguous cases.
Reconciles a column of names against a reference catalog that you supply — your catalog, not a public knowledge base — using native OpenRefine reconciliation with a caller-set edit distance and an optional required type. The result separates rows with a single candidate, rows with several, and rows with none, and it leaves the ambiguous ones ambiguous: an automatic pick would be the cheapest possible way to introduce a wrong identity into a reference dataset.
Returns rows partitioned into three groups: rows with exactly one catalog candidate (confident matches), rows with multiple candidates (ambiguous, left unresolved for human review), and rows with no candidates (unmatched). Each matched row includes the candidate ID, name, and type from the catalog.
POSThttps://agent.halowerk.com/v1/oss-openrefine-reference-catalog-reconciliation-review?utm_source=zero.xyzChoose this endpoint when you have a private reference catalog (not a public knowledge base) and need to reconcile entity names against it using fuzzy matching with a configurable edit distance, particularly when human review of ambiguous cases is required and auto-resolution of conflicts is unacceptable. Prefer this over generic deduplication tools when you need OpenRefine's native reconciliation semantics with explicit single/multiple/none grouping and type filtering.
| Field | Type | Description |
|---|---|---|
| table | object | |
| catalog | array | |
| query_column | string | |
| required_type | string | |
| max_edit_distance | integer |
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