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Verify AI agents and MCP servers, then issue verifiable competency credentials.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AgentTrust" yet — see the docs or source repo.
Run a challenge-response quality verification on this AI agent, evaluate competency across six dimensions, and generate a report with scores, evidence, and improvement recommendations.
A structured evaluation report with six-dimension scores, verification evidence, an overall verdict, and improvement suggestions.
Verify this MCP server by designing test challenges and checking response quality, then output whether it passes verification and the key risk areas.
An MCP server verification result showing pass status, risk items, failure reasons, and remediation directions.
Based on the completed evaluation, issue a W3C Verifiable Credential for this AI agent including competency dimensions, score summary, issuer details, and validity period.
A verifiable credential payload containing the assessment summary, issuer details, timestamps, and fields needed for verification.
Track, verify, and evaluate AI agent reputation with measurable trust signals.
Verify AI agents, check verification status, and browse the leaderboard.
Check trust and security scores before installing MCP tools and agents.
Test API compatibility for AI agents with scores, grades, and recommendations.
Issue and verify portable compliance passports for AI agents across regulations.
Verify agent trust scores, submit reviews, and find trusted agents safely.