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data.japanagent.dev Name Similarity Comparator
x402
data.japanagent.dev Name Similarity Comparator is a paid API for AI agents from data.japanagent.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Compares two names and returns a numeric similarity score (0-1) plus a phonetic similarity key match, for fuzzy deduplication and record matching.
Price / call$0.001
Success—
StatusUnknown
How this service works
Compare two names and return a similarity score (0-1) plus whether they share a phonetic similarity key. For deduplication and fuzzy record matching — e.g. 'Bob Smith' vs 'Robert Smyth'. Deterministic, no LLM.
Output
Returns a similarity score between 0 and 1 (where 1 is identical), plus a boolean or indicator of whether the two names share a phonetic similarity key — useful for deciding whether two records represent the same person.
Example use cases
Deduplicate customer records by name
“We've got thousands of customer records in our CRM that might have duplicates. Can you compare pairs like 'Jennifer Wilson' and 'Jen Willson' to give me similarity scores and phonetic matches so I can identify which ones are probably the same person?”
KYC compliance name verification check
“For our KYC workflow, I need to verify if the name on this application 'Michael O'Connor' matches the one from our database 'Micheal O'Conner'. Can you run a similarity comparison and let me know the score and phonetic alignment so I can flag potential identity matches?”
Merge duplicate vendor accounts safely
“We're cleaning up our vendor database and suspect some accounts belong to the same business with slightly different names — like 'A.B.C. Corporation' versus 'ABC Corp' or 'Robert Chen Ltd' and 'Bob Chen Limited'. Can you compare these pairs and show me the similarity scores and phonetic keys to help me decide which ones to consolidate?”
Technical details
Endpoint
GEThttps://data.japanagent.dev/match/compareWhen to prefer
Choose this endpoint when you need deterministic, rule-based name similarity without LLM inference — ideal for high-volume deduplication pipelines, KYC record linkage, or CRM merging where reproducibility and low latency matter more than semantic understanding.
Side effects
- Missing required query parameter 'a' or 'b' returns a 400 error
- Empty string inputs may return a 0 similarity score or error
- Very long or non-name strings may produce unexpected scores
- Payment not included or insufficient USDC results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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