Why AI Agents Need a Trust Layer

Your agent calls an API. It gets JSON back. It makes a decision based on that data. But how does it know the data is correct? How does it know the source is still online? How does it know the response schema hasn't silently changed since last week? It doesn't. And neither do you. The trust gap in the agent economy We're building increasingly autonomous systems -- agents that verify companies, screen sanctions lists, validate tax numbers, check GDPR compliance -- and connecting them to external data sources with zero quality signal. Think about what we take for granted in other domains. When a bank evaluates a borrower, there's a credit score. When a consumer buys a car, there are safety ratings. When an investor reads a bond offering, there's a credit rating from an independent agency. AI agents have none of this. They call APIs and hope for the best. The MCP protocol solved the integration problem -- any agent can discover and call tools through a standardized interface. But MCP says