Trace Analysis Python Packages

dcc-mcp-tracy

Tracy profiler MCP adapter for AI agents to capture instrumented applications, export trace CSV data, and analyze zone timing through the DCC-MCP ecosystem.

agent-claimcheck

Catch AI agents that say "done" when the task isn't. Checks agent-trace/v1 traces with claim-evidence rules, LLM judges and a trained classifier, returns verified / false_success / unverifiable with calibrated confidence, and ships a 300-trace labelled benchmark.

playwright-trace-analyzer

CLI tool for analyzing Playwright trace files without the browser-based viewer

journeygraph

Local-first graph analytics for recurring paths, loops, failures, and outcomes across AI-agent traces and event data.

atap

Agent Trace Analysis Platform (atap) — pluggable pipeline for trace representation, analysis, error classification, failure attribution and recovery for LLM agents

kagua

Authority verification harness for AI agents. Unit tests assert your agent did the right thing; kagua asserts it was ever allowed to.