Entity Name Fuzzy Matcher

Use this endpoint when you need to programmatically compare two name strings — especially for entity types like persons, companies, addresses, or organizations — and want a normalized similarity score with configurable match thresholds. Prefer it over generic string-distance libraries when entity-type-aware normalization (e.g. handling 'LLC', 'Inc', common abbreviations) is important for accuracy.

• Missing required 'a' or 'b' query parameters returns an error
• Invalid entity type enum value causes validation failure
• Non-string input for name fields may cause unexpected results
• Score threshold outside 0-100 range may be rejected
• Payment failure via x402 protocol blocks access to the endpoint