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Saylor Innovations Fuzzy Match API
x402
Saylor Innovations Fuzzy Match API is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Ranks candidate strings against a reference string using Jaro-Winkler, Levenshtein, token-set similarity, and Soundex scores, returning a composite score and verdict for each candidate
Price / call$0.01
Success—
StatusUnknown
How this service works
Rank candidate strings against an input with Jaro-Winkler, Levenshtein, token-set and Soundex scores plus a verdict, for name matching and deduplication
Output
Returns a ranked list of all candidate strings with per-candidate scores (Jaro-Winkler, Levenshtein distance, Levenshtein similarity, token-set similarity, Soundex first-word match, composite 0–100 score, and a text verdict), plus a 'best' object highlighting the top-scoring candidate, the original input string, a source label, and a contextual note.
Example use cases
Deduplicating customer name records
“I have a canonical customer name 'Catherine O'Brien' and these possible duplicates in our database: 'Catherine OBrien|Kathryn O'Brien|C. O'Brien|Katherine Brien|Cathy O'Brian' — can you score all of them for similarity and tell me which is the most likely duplicate?”
Entity resolution for vendor onboarding
“We're onboarding a vendor who says their name is 'Acme Global Solutions' — check how closely that matches these existing vendors: 'ACME Solutions LLC|Acme Globl Soln|Acme International|Global Acme Ltd|Acme Global Solution' and give me a verdict on whether any are likely the same company.”
Name screening against a watchlist
“Run a fuzzy match of 'Vladimir Petrov' against this list of names: 'Vladmir Petrov|Vladimir Petroff|V. Petrov|Vladamir Petrov|Vladimir Petrowski' and tell me the composite score and soundex verdict for each so I can flag potential matches.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/text/fuzzy-match?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need multi-algorithm fuzzy string comparison (not just one metric) and want a ready-made composite verdict — ideal for name matching, record deduplication, or entity resolution workflows where a single similarity score is insufficient. Prefer it over single-algorithm libraries when you need Soundex phonetic matching combined with edit-distance and token-set metrics in one call.
Side effects
- Missing required 'a' parameter returns an error
- More than 50 candidates separated by '|' may be truncated or rejected
- Empty candidate list returns no matches
- Non-string or malformed input may cause scoring errors
- Network timeout on large candidate sets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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