Agent Analytics

Gives your AI agent a direct line to analytics tracking and experimentation. You can log events, track user behavior, run A/B tests, and pull performance metrics without building your own analytics infrastructure. Works over streamable HTTP, so you can drop it into any MCP-compatible setup and start instrumenting your agent's interactions immediately. Reach for this when you need to understand how users actually interact with your agent, which prompts perform better, or where conversations drop off. It's the observability layer for AI agents that lets you iterate based on real usage data instead of guessing.