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Jaro / Jaro-Winkler String Similarity
x402
Jaro / Jaro-Winkler String Similarity is a paid API for AI agents from similarity.openverbs.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-30).
Computes Jaro similarity and the Jaro-Winkler variant (with configurable prefix boost) between two strings, returning scores in [0,1].
Price / call$0.004
Success—
StatusUnknown
How this service works
Jaro similarity and the Jaro-Winkler variant (which boosts scores for a shared prefix), both in [0,1]. The prefix boost factor is configurable (default 0.1, max 0.25). Well suited to short strings like names.
Output
A JSON object containing the Jaro similarity score and the Jaro-Winkler similarity score, both as floating-point numbers in [0,1], where 1.0 means identical strings and 0.0 means completely dissimilar. The Jaro-Winkler score also reflects any shared prefix up to a configurable boost factor.
Example use cases
Fuzzy name deduplication in CRM
“I have two customer records — one says 'Catherine' and the other says 'Kathryn'. Can you compute the Jaro-Winkler similarity between those two names with the default prefix boost so I can decide if they're the same person?”
Automated record linkage for patient matching
“Check how similar the names 'Michael Smithe' and 'Micheal Smith' are using Jaro-Winkler with a prefix boost of 0.15 — I need the score to decide if these are duplicate patient records.”
Search result ranking by name closeness
“Score the similarity between the search query 'Willam' and the candidate name 'William' using Jaro and Jaro-Winkler so I can rank this result appropriately.”
Technical details
Endpoint
POSThttps://similarity.openverbs.com/v1/jaro?utm_source=zero.xyzWhen to prefer
Choose this endpoint when comparing short strings such as personal names, place names, or short codes where character-level proximity and shared prefixes matter most. Jaro-Winkler is especially effective for name deduplication and typo correction in short tokens. Prefer it over Levenshtein when you need a normalized [0,1] score and when prefix agreement should increase similarity (e.g., 'Martha' vs 'Marthaa'). Use Sørensen-Dice or Jaccard instead for longer strings or when word/bigram overlap is more meaningful than character transpositions.
Side effects
- Missing required fields 'a' or 'b' returns a 400 validation error
- String length exceeding 20,000 characters is rejected
- prefixScale value outside [0, 0.25] is rejected with a validation error
- Non-JSON body type may cause parse errors
- Payment not included or insufficient USDC causes 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| a | string | First string. |
| b | string | Second string. |
| prefixScale | number | Jaro-Winkler prefix boost factor. Default 0.1. |
Tags
x402
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