Tool overview
TraceRoot is listed under AI Infrastructure & MLOps AI tools.
What is TraceRoot?
TraceRoot is an open-source observability platform for AI agents that captures traces, detects production failures, performs root-cause analysis, and can open fix pull requests using source and repository context.
Best for
Engineering teams operating AI agents in production
Who is it for?
Decision note
Accepted after independent V411 official-source verification. Run Preview first and visually verify controlled fields, Arabic v2 lists, outreach, affiliate evidence, lifecycle or rebrand status, and logo QA before Apply.
Key features
AI agent tracing and detectors
Automated root-cause analysis
Source-aware fix pull requests
Use cases
Monitoring production agents
Debugging failing traces
Automating agent issue remediation
Pros
- AI agent tracing and detectors
- Automated root-cause analysis
- Clear fit for engineering teams operating ai agents in production
Cons
- May require workflow-specific configuration
- Production use still needs human review
- Public commercial details may be limited
Limitations
Capabilities depend on source data, integrations, permissions, and workflow design. Teams should validate outputs, edge cases, security controls, and consequential actions carefully before production deployment.
Pricing details
Billing options
Pricing note
TraceRoot offers Free at $0 with two seats, 50,000 events, 15-day retention, 30 chat or RCA runs, and 100 detector runs. Starter costs $30 per month and Pro costs $200 per month; Enterprise is custom. Users can also bring their own model keys.
Supported languages
- English
Integrations
OpenTelemetry
Python
JavaScript
GitHub
Model providers




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