code402 PAN Format Check is a paid API for AI agents from hcrb.in, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Validates an Indian Permanent Account Number (PAN) offline using deterministic format rules, returning validity, reason, and entity type without ML or external lookups.
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.
Returns a JSON object with: 'valid' (boolean indicating format correctness), 'scope' (whether check is checksum or format-only), 'reason' (human-readable explanation of result), 'entity_type' (individual, company, etc. as encoded in PAN), 'entity_code' (the encoded character), 'normalized' (cleaned PAN string), and 'tool' (identifier of the check performed). Response is deterministic and offline — no external database lookup is performed.
POSThttps://hcrb.in/v1/tools/pan-format-check/call?utm_source=zero.xyzChoose this endpoint when you need a fast, cheap, privacy-preserving offline check of Indian PAN numbers without sending data to a third-party registry or KYC service. Ideal for pre-flight validation before expensive KYC pipelines, bulk onboarding deduplication, or any workflow where deterministic format correctness (not live registry lookup) is sufficient. At $0.005 USDC per call with 3 free calls/day, it is cost-effective for low-to-medium volume checks. Prefer over ML-based or scraping-based validators when auditability and determinism matter.
| Field | Type | Description |
|---|---|---|
| input | object |
{
"type": "json",
"schema": {
"type": "object",
"required": [
"tool",
"valid"
],
"properties": {
"tool": {
"type": "string"
},
"scope": {
"type": "string"
},
"valid": {
"type": "boolean"
},
"reason": {
"type": "string"
},
"country": {
"type": "string"
},
"normalized": {
"type": "string"
},
"entity_code": {
"type": "string"
},
"entity_type": {
"type": "string"
}
}
},
"example": {
"valid": true,
"reason": "checksum valid"
}
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