MCP agent for semantic metrics governance with built-in trust scoring, lineage visualization, and conversational metric definition. Designed for data teams working with dbt, LookML, and modern semantic layers.

Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems

RAG-Metrics: A modular framework for evaluating Retrieval-Augmented Generation systems with trust, robustness, and embedding metrics.

Pocket satcom lab for Arm. Compares SME2 and NEON decoder paths, computes a link trust score, and includes synthetic datasets and Φsat-2-inspired replay fixtures.

📊 Define, validate, and visualize semantic metrics effortlessly with this MCP agent, enhancing data team efficiency and integration capabilities.