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Entity Resolve – Fuzzy Record Deduplication
x402
Entity Resolve – Fuzzy Record Deduplication is a paid API for AI agents from entity-resolve.x402supply.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-13).
Fuzzy-deduplicates a list of records into clusters of likely-duplicate entities, returning a merged canonical record per cluster with a confidence score
Price / call$0.02
Success—
StatusUnknown
How this service works
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.
Output
Returns clusters of records determined to be likely duplicates, each cluster containing a merged canonical record that combines the best-available field values from the grouped records, along with a confidence score indicating how certain the match is. Uses Jaro-Winkler and token-set similarity with exact matching on email and phone fields.
Example use cases
CRM duplicate contact cleanup
“I exported our CRM and there are clearly duplicate contacts — same person with slightly different name spellings or email formats. Can you cluster them by name and email fields with a 0.85 threshold and give me the merged canonical record for each duplicate group?”
Vendor list deduplication
“We have a procurement spreadsheet with about 2,000 vendor entries and a lot of duplicates — different abbreviations, typos, same company listed multiple ways. Can you fuzzy-match them by company_name and phone, merge the duplicates, and tell me the confidence score for each cluster?”
Event attendee list deduplication
“We collected attendee registrations from three different forms and there's overlap. Can you deduplicate these records by matching on first_name, last_name, and email with a threshold of 0.82 and return one canonical entry per person?”
Technical details
Endpoint
POSThttps://entity-resolve.x402supply.com/tools/resolve?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, reproducible entity resolution without LLM calls — ideal for compliance-sensitive pipelines, high-volume batch deduplication, or when you need explainable similarity scores. Prefer it over LLM-based matching when consistency and cost predictability matter, and over simple exact-match deduplication when records have typos, abbreviations, or formatting inconsistencies.
Side effects
- Empty records array returns validation error
- Threshold outside 0–1 range rejected
- Records array exceeding 10,000 items rejected
- Malformed record objects may produce low-quality clusters
- Missing keys field may result in all-field comparison or error
- Payment failure returns 402 status
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| options | object | |
| records | array |
Output
Schema · Response
{
"type": "json",
"example": {
"skipped": [],
"clusters": [
{
"members": [
0,
1
],
"canonical": {
"name": "ACME Corporation",
"email": "info@acme.com"
},
"confidence": 0.971
},
{
"members": [
2
],
"canonical": {
"name": "Globex LLC",
"email": "hello@globex.com"
},
"confidence": 1
}
]
}
}Tags
x402
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