Establishes a trust infrastructure for AI agents to reliably select and interact with external MCP servers using cryptographically signed execution receipts and Bayesian trust scoring.
Sponsored
XAIP provides a crucial trust layer for AI agents, empowering them to make informed decisions when delegating tasks to external MCP (Multi-Modal Compute Provider) servers. By analyzing cryptographically signed execution receipts and employing a sophisticated Bayesian trust model with caller diversity weighting, XAIP enables agents to assess server reliability in real-time. This prevents wasted calls to unreliable or unscored servers, enhancing agent efficiency and safety by ensuring the selection of the most trustworthy candidate for any given task.
Características Principales
010 GitHub stars
02Live API and SDK for integration into AI agents and applications
03Real-time decision engine to select best MCP server candidates
04Cryptographically signed (Ed25519) execution receipts for verification
05Support for did:xrpl, did:web, and did:key identities with varying trust priors
06Bayesian trust scoring model with caller diversity weighting
Casos de Uso
01AI agents selecting reliable MCP servers for task execution
02Developers integrating trust scores into AI agent frameworks
03Monitoring the performance and reliability of various MCP servers