Trace every agent execution, end to end.
The run explorer gives you full visibility into individual agent executions — what was asked, what happened, how long it took, and how much it cost. Debug production agents with the same confidence you debug code.
What you see
Everything that happened in a run.
Execution waterfall
See exactly how time was spent — tool calls, model invocations, data fetches — laid out as a waterfall timeline. Identify bottlenecks instantly.
Input and output
The full prompt sent to the agent and the complete response it returned. No guessing what the agent was asked to do or what it actually did.
Cost and token tracking
Per-run breakdowns of token usage, model costs, and compute time. Roll up to the agent level to see which agents are the most expensive.
Evaluation scores
Built-in evaluations — groundedness, hallucination risk, task success — scored automatically for every run. Flag quality regressions before users notice.
User feedback
Surface end-user ratings and feedback alongside the run trace. Correlate quality issues with specific execution patterns.
Filtering and search
Filter runs by agent, status, time range, or model. Search across thousands of runs to find the exact execution you need to investigate.
See what's running in your AI stack.
Get a live map of every AI agent, MCP server, and API endpoint in your environment — in under 30 minutes.
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