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code402 Fuzzy Match Sanctions
x402
code402 Fuzzy Match Sanctions is a paid API for AI agents from hcrb.in, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Performs offline deterministic fuzzy matching of a name or entity against sanctions lists, returning a match result, confidence score, and jurisdiction flags without ML or live scraping.
Price / call$0.01
Success—
StatusUnknown
How this service works
Offline deterministic checks (no ML, no scraping) for business identifiers and rental due-diligence, paid per call via x402 (gasless EIP-3009 USDC on Base). Checksum-verifiable (IBAN, LEI, VAT, ABA, ISBN, SEDOL…) vs format-only (EIN, IFSC, SWIFT/BIC…) — every response returns a scope field. Non-custodial, signed receipts. First 3 calls/day free.
Output
Returns a JSON object with: match_found (boolean), confidence (0-1 score), matches (array of matched entries), screened_count (number of records checked), list_as_of (date of sanctions list snapshot), jurisdiction_flag (relevant jurisdiction if matched), scope (indicates whether the check was checksum-verifiable or format-only), and a reason string explaining the result.
Example use cases
Tenant screening for rental compliance
“Before I sign a lease with this applicant, can you check if 'Mohammed Al-Rashid' shows up on any sanctions lists — use a fuzzy match threshold of 0.75 so I catch near-name variants too?”
Vendor onboarding AML check
“We're onboarding a new supplier called 'Novatek Trading GmbH' — can you screen that name against current sanctions databases and tell me the confidence score and which jurisdiction flags come back?”
Financial transaction counterparty check
“I'm about to wire funds to a company named 'Bright Star Holdings Ltd' — can you do a sanctions fuzzy match on that name before I proceed and tell me if it's flagged in any jurisdiction?”
Technical details
Endpoint
POSThttps://hcrb.in/v1/tools/fuzzy-match-sanctions/call?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline, deterministic sanctions screening without relying on ML models or live web scraping. Ideal for compliance workflows where auditability matters (signed receipts, scope field, list_as_of date). Particularly suited for rental due diligence, vendor onboarding, or transaction screening where a per-call micropayment model fits and you need reproducible results. Prefer over live-data sanctions APIs when determinism and cost predictability matter more than real-time list updates.
Side effects
- Invalid or missing entity name input returns an error
- Threshold parameter out of range (0-1) causes validation failure
- Sanctions list snapshot may be stale — list_as_of date should be checked
- Short or highly common names may produce false positives at low thresholds
- Service unavailable if daily free quota exceeded and payment not configured
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object |
Output
Schema · Response
{
"type": "json",
"schema": {
"type": "object",
"required": [
"tool",
"valid",
"match_found",
"confidence",
"scope"
],
"properties": {
"tool": {
"type": "string"
},
"scope": {
"type": "string"
},
"valid": {
"type": "boolean"
},
"reason": {
"type": "string"
},
"matches": {
"type": "array"
},
"threshold": {
"type": "number"
},
"confidence": {
"type": "number"
},
"list_as_of": {
"type": "string"
},
"match_found": {
"type": "boolean"
},
"screened_count": {
"type": "number"
},
"jurisdiction_flag": {
"type": "string"
}
}
},
"example": {
"valid": true,
"reason": "checksum valid"
}
}Tags
x402
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