Fuzzy entity resolution and dedupe for names, addresses, and company records — the "is this the same person/company" problem that breaks exact-match joins. Clean CRM exports, merge duplicates, reconcile vendor lists. Pay-per-call via x402 (USDC on Base): $0.008/call, no account or API key. tools/list and /openapi.json are free for discovery.
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap. The purpose is singular and unambiguous.
A single tool named 'resolve' follows a clear verb pattern. With only one name, there is no inconsistency to evaluate.
One tool is borderline thin for a server, but it serves a focused, single-purpose domain (entity resolution). It feels minimal yet arguably appropriate for the narrow scope.
The tool fully covers the domain of entity resolution by accepting records, deduplicating, and returning merged canonical clusters. No additional operations appear necessary for the stated purpose.
Fuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matches above threshold, and returns a merged canonical record per cluster with a confidence score. Deterministic, no LLM calls.
Inputs: records (required), options.
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