Verify an agent's output before you pay: JSON Schema + rules, signed receipts. Free during launch.
Scored across 2 tools
The two tools serve clearly different actions: one retrieves a counterparty's reputation history, the other validates a JSON payload against a schema. There is mild conceptual overlap because both concern 'verification' and both return signed artifacts, which could momentarily confuse an agent, but the descriptions make the boundary workable.
Both names follow a clean verb_noun snake_case pattern (get_verification_record, verify_schema), with predictable verb choices that map directly onto their actions. No style mixing or vague naming.
Two tools is on the thin side for a server, even a narrowly scoped one; the surface feels like a minimal pair of endpoints rather than a fully scoped toolset. Each tool does earn its place, but there is little redundancy or supporting operations.
The buyer-side workflow (check reputation, validate output before paying) is covered, but the seller side is missing: there is no way to submit or publish your own output/attestation to build a record, and no operation to list or retrieve past checks and receipts. These are notable gaps for a trust/reputation service.
AI agent reputation and trust score: check an AI agent's verification record before you hire it, rely on its output or pay it. Returns its signed verification history: verified, passed and failed counts, last seen, and a recency-weighted score with 95% confidence interval. Check a counterparty before you pay, or see the record buyers will see. AI Agent Scores: $0.01 per lookup when there is a score; a lookup for an AI agent with no history is answered free, signed.
Inputs: agent_id (required).
Independent check of AI agent output before you pay: verify and validate an AI agent's JSON against your JSON Schema and business rules, for example validate an invoice, check its total, or confirm a deliverable meets the agreed schema before you accept it. Checks structure, formats, ranges, and cross-field rules such as 'line totals must equal the total.' Returns pass/fail, % of checks passed, fix hints, and an Ed25519-signed attestation and receipt you can show as evidence of why you paid or refused. 1,000 free checks a day per caller, then $0.02 per check (x402, USDC on Base or Solana).
Inputs: task_id (required), expected_schema (required), submitted_output (required), rules, +5 more.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Independent schema and rule check of AI agent output before you pay. Signed attestation and receipt.
Paid agent work and paid verification, settled in USDC. Verified outcomes get signed receipts.
Issue signed receipts for AI agent actions; verify any receipt offline - free, no account.
Paid deterministic data-quality and execution-verification tools for AI agents.
Add one secure layer between your agents and this server.
