Fuzzy entity resolution and dedupe for names, addresses, and company records. $0.02/call via x402.
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Fuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matches above threshold, and returns a merged canonical record per cluster with a confidence score. Deterministic, no LLM calls.
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Fuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matches above threshold, and returns a merged canonical record per cluster with a confidence score. Deterministic, no LLM calls.
| Argument | Type | Description |
|---|---|---|
| options | object | |
| records* | array |
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"records"
],
"properties": {
"options": {
"type": "object",
"properties": {
"keys": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 1
},
"threshold": {
"type": "number",
"default": 0.82,
"maximum": 1,
"minimum": 0
}
},
"additionalProperties": false
},
"records": {
"type": "array",
"items": {},
"maxItems": 10000,
"minItems": 1
}
},
"additionalProperties": false
}