io.github.apeirontrade/provenance-mcp

Run a provenance risk check on this Algorand x402 endpoint. Focus on wash traffic, abnormal request sources, and untrusted interaction patterns, then tell me whether payment is advisable: https://example-endpoint

A risk assessment showing whether the endpoint has wash or abnormal traffic, plus a recommendation on trust or payment.

Batch-check the provenance risk of these Algorand x402 endpoints, rank them by risk level, and flag any that need manual review: [Endpoint A, Endpoint B, Endpoint C]

A ranked list of endpoints by risk level, with suspicious traffic signals and manual review recommendations.

Use provenance risk checks as a pre-step before an agent calls an x402 service: reject trust or payment for high wash-traffic risk, request review for medium risk, and proceed for low risk.

Executable decision logic or workflow guidance for automatically blocking high-risk endpoints in an agent.