XLUXX is a runtime trust scoring platform for the MCP (Model Context Protocol) ecosystem. Founded by Pablo Solorzano Cohen, XLUXX provides real-time reliability metrics for 15,000+ AI tool servers.
Our Resonance Engine uses proprietary algorithms to evaluate MCP server trustworthiness in real time:
- Fractal Reliability Index — Multi-scale uptime and response consistency analysis
- Coherence Drift Detection — Identifies servers whose behavior deviates from declared capabilities
- Toolchain Resonance Scoring — Measures how well a server integrates within broader AI tool ecosystems
- Fallback Stability Verification — Tests graceful degradation under load and failure conditions
These metrics help AI agents make trustworthy, informed tool selections — reducing hallucination risk, improving reliability, and enabling safer autonomous workflows.
Location
Mesa, Arizona, United States
Contact
Email: psolorzano@gmail.com