FractalAI x402 Agent Credential Verifier is a paid API for AI agents from fractalai.net.co, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-09).
Validates an AI agent's KYA (Know Your Agent) credential using post-quantum ML-DSA-65 cryptography and returns a signed attestation of the verification result
The first AI-native Layer 1 blockchain built from scratch in Rust. Post-quantum cryptography (CRYSTALS-Dilithium), Proof of Fractal Work consensus, WASM smart contracts, and 460+ RPC endpoints. Mine FRAC tokens with fractal analysis instead of hash puzzles.
Returns a JSON object with: a boolean 'valid' field indicating whether the agent credential passed all checks; 'stage' showing which check determined the verdict (structure, credential_id, signature, expiration, or ok); 'reason' with a human-readable explanation; a base64 ML-DSA-65 (Dilithium-3, NIST FIPS 204) 'signature' (3309 bytes) over a canonical message attesting the verdict; the corresponding 'public_key' (1952 bytes) for offline verification; 'algorithm' and 'algorithm_label' fields; 'attestation_digest' (SHA-256 hex); 'signed_message' for offline verification; 'not_expired' boolean; 'seconds_until_expiry'; optionally the echoed 'claim' object, 'payment' settlement receipt, and 'reputation' on-chain FRC-55 snapshot.
POSThttps://fractalai.net.co/api/x402/verify-agent?utm_source=zero.xyzChoose this endpoint when you need post-quantum-secure verification of AI agent KYA credentials with a signed, tamper-evident attestation you can store or relay. It is specifically designed for AI agent identity workflows on the FractalAI blockchain ecosystem and produces ML-DSA-65 (NIST FIPS 204) signatures suitable for compliance audit trails. Prefer this over classical ECDSA or RSA credential verifiers when quantum resistance is a requirement, or when you need on-chain FRC-55 reputation data alongside credential validity.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"valid": true,
"algorithm": "ml-dsa-65",
"verified_credential_algorithm": "dilithium2"
}
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