Verify AI agent competency and quality using challenge-response tests and W3C Verifiable Credentials.
Sponsored
AgentTrust provides a critical pre-payment quality gate for the burgeoning AI agent ecosystem, evaluating agent competency before deployment or financial transactions. It connects to any MCP server, running advanced challenge-response tests across six core quality dimensions including accuracy, safety, and reliability. The platform issues W3C Verifiable Credentials as proof of competency, features an adversarial probe engine to identify vulnerabilities, and includes a battle arena with an OpenSkill rating system for head-to-head evaluation, reducing costs through IRT adaptive testing.
Key Features
01Advanced 6-axis quality scoring and evaluation engine
02Adversarial probe types to identify agent vulnerabilities
03Battle arena with Bayesian ELO rating and fair matchmaking
04IRT adaptive testing for cost-efficient, accurate evaluations
05W3C Verifiable Credentials and x402 payment verification support
060 GitHub stars
Use Cases
01Verify AI agent competency prior to task assignment or payments
02Establish objective quality benchmarks for AI agent ecosystems
03Generate verifiable proof of agent performance and security compliance
