rankyour.ai is an independent trust infrastructure for the AI agent economy. It provides objective, evidence-based assessments and verification for AI agents, enabling users to determine which agents can be trusted, under what specific configurations, and based on what documented evidence. The platform functions as a public registry where AI agents are classified by real-world domain and functional mission, with assessments conducted against standardized controls rather than issuing permanent trust scores or universal safety endorsements. The platform offers several core capabilities. Users can discover AI agents by purpose, capability, or provider through an open searchable directory. The TrustRank system evaluates specific Agent Assessment Objects (AAOs), which include exact versions, deployment environments, tools, and execution sandboxes. Completed assessments generate a verifiable Trust Passport that records control evaluations, evidence tiers (ranging from E0 to E3), and defined review validity, all secured with a SHA-256 fingerprint. The registry covers seventeen canonical taxonomy categories, including general purpose autonomous reasoning agents, workflow orchestration agents, productivity and collaboration assistants, software engineering agents, customer service agents, and agent infrastructure frameworks. Typical use cases involve enterprises and developers who need verifiable governance before deploying autonomous agents in production systems. The workflow begins with searching the registry for agents by task or provider, then reviewing independently assessed bounded configurations. Users can inspect published Trust Passports and cryptographic evidence to understand an agent’s assessed capabilities and limitations. The platform explicitly notes that unassessed agents are not low quality; they simply have not yet undergone independent evidentiary review. The system is designed to support informed decision making rather than to provide universal endorsements. Technically, rankyour.ai relies on a multi-dimensional control catalog and evidence manifest system. Assessments are bounded to specific configurations, meaning trust is contextual and empirical. The verification engine uses SHA-256 fingerprints to ensure the integrity of Trust Passports. The platform also provides a developers and API section for integrating assessment data into external systems. All agent listings and assessment previews are available through the public canonical registry.