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match-standardize
x402
match-standardize is a paid API for AI agents from payai.agentstools.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Standardizes company names, person names, and addresses to canonical forms by applying normalization rules (dropping legal suffixes, stop-words, titles, address abbreviations, etc.)
Price / call$0.005
Success—
StatusUnknown
How this service works
Standardize a company name, person name or address to a canonical form. Canonicalises legal forms, drops business stop-words, strips person titles and suffixes and folds address abbreviations. Returns the canonical form, the tokens and the rules that were applied. Indicators, not authoritative identity resolution.
Output
Returns the canonical (standardized) form of the input string, the individual tokens it was broken into, and the list of normalization rules that were applied during processing. Note that results are indicators, not authoritative identity resolution.
Example use cases
Deduplicating vendor company records
“I have a supplier listed as 'Acme Manufacturing LLC' in one database and 'ACME Mfg.' in another — can you standardize both company names to their canonical form so I can tell if they're the same entity?”
Normalizing contact person names
“Strip the title and suffix from this person name 'Dr. James R. Smith Jr.' and give me the canonical form with the individual tokens.”
Standardizing address strings for comparison
“I need to canonicalize this address '123 Main Street, Suite 4B, New York, NY' by folding abbreviations — can you standardize it as an address type?”
Technical details
Endpoint
GEThttps://payai.agentstools.dev/match/standardizeWhen to prefer
Use this endpoint when you need lightweight, rule-based normalization of entity names (companies, persons, addresses) as a preprocessing step before fuzzy matching, deduplication, or record linkage — especially when you do not need authoritative identity resolution but simply want a consistent canonical representation. Prefer this over full entity resolution services when speed and cost matter and you only need canonical tokens and applied rules.
Side effects
- Missing required 'value' query parameter returns an error
- Invalid entity type enum value (must be one of: person, company, address, product, org)
- Empty string input may return empty or trivial canonical form
- Payment failure (402) if USDC balance is insufficient
- Ambiguous inputs may produce unexpected canonical forms due to rule mismatch
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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