xProof

START HERE if you have no API key. Get 10 free on-chain certifications instantly — no wallet, no credit card, no account required. Call this once with any agent_name, receive a pm_ key, then use certify_file or audit_agent_session immediately. Takes under 1 second.

Create a blockchain certification for a file. Records the SHA-256 hash on MultiversX blockchain as immutable proof of existence and ownership. Cost: $0.01 per certification, paid in EGLD.

Create a staged blockchain certification with a confidence score. Use this when your decision builds progressively — certify at 60% (initial assessment), 80% (pre-commitment), and 100% (final decision). Each stage shares the same decision_id, creating an on-chain audit trail of the decision process.

Verify an existing xproof certification. Returns proof details including file hash, timestamp, blockchain transaction, and verification status.

Retrieve a proof in structured JSON or Markdown format. Use JSON for machine processing, Markdown for LLM consumption.

Discover available xproof certification services, pricing, and capabilities. No authentication required.

Certify an AI agent's work session on the MultiversX blockchain BEFORE executing any critical action (trade, deploy, data access). Returns a proof_id compliance certificate. The agent MUST call this tool before acting — certification failure blocks execution. Governance: set reversibility_class='irr

Check domain-specific attestations for an AI agent wallet on xproof. Returns active attestations issued by third-party certifying bodies (healthcare, finance, legal, security, research). Each active attestation adds +50 to the agent's trust score (max +150 from 3 attestations). Use this to verify an

Reconstruct the full 4W audit trail for a contested agent action. Returns WHO (agent identity + SIGIL), WHAT (SHA-256 hash on-chain), WHEN (MultiversX block timestamp), WHY (decision chain anchored before acting). Includes verification summary with intent_preceded_execution flag, chronological timel

Submit the actual outcome for a decision previously anchored with metadata.confidence_level. Computes the confidence gap (anchored − actual) and stores it for calibration tracking. Operator-only — you must own the proof. Each proof can only have one outcome.

Query an agent's calibration quality over time: mean confidence gap, variance, bias label (overconfident / underconfident / calibrated), and per-decision time series. Fully public — use this to evaluate another agent before trusting it. agentId accepts a MultiversX wallet address (erd1...) or intern