TraceRoot
Verified Oct 2, 2026 ActiveOpen-source tracing and eval layer that turns production agent failures into signals your coding agent can fix and verify.
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
A cloud account can be created for free and the platform can be self-hosted at no charge. The pricing page is a client-rendered app that could not be read here, and third-party listings of older plans do not match its current positioning, so no paid price is recorded; check the vendor page before budgeting.
Use tool ↗About TraceRoot
TraceRoot records each model call, tool call and response in an AI application, with inputs, outputs, latency and cost. Detectors flag production runs that miss a quality bar, recurring patterns surface as signals, and offline evals check whether a change actually helped. A command-line interface lets a coding agent read and edit detectors, datasets, evals and dashboards, so the loop from failure to verified fix can run mostly by itself. It is available as a hosted cloud or self-hosted with Docker Compose, with Python and TypeScript SDKs; code outside its enterprise folders is Apache-2.0. The company is a small Y Combinator Summer 2025 startup in San Francisco.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 2, 2026
Verified sources
- Repository README: tracing, detectors, signals and evals loop; cloud or self-hosting; Apache-2.0 except ee directoriesgithub.com ↗
- Y Combinator profile: TraceRoot.AI, San Francisco, Summer 2025 batch, founded 2025, team of fourycombinator.com ↗
- Documentation: introduction, self-hosting guide and SDKstraceroot.ai ↗
Is TraceRoot legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Last checked
- Oct 2, 2026The site answered
- On the market since
- 2025The vendor's own material, read by us
- Operated by
- TraceRoot.AI, United StatesOur research, card verified Oct 2, 2026
Pros & cons of TraceRoot
TraceRoot is for teams that want tracing plus a feedback loop wired to their coding agent, and that like being able to self-host. It is young, with a four-person team, and has repositioned from AI-assisted debugging to an improvement layer, so expect change. Pick a more established observability product if you need a long track record.
Pros
- Open source with a documented self-hosting path using Docker Compose
- Python and TypeScript SDKs plus an agent-oriented CLI
- Links tracing, detection, signals and evals into one loop
- Code outside the enterprise folders is Apache-2.0
Cons
- Very young company with a small team
- Positioning has shifted from bug-fixing agents to an improvement layer
- Pricing was not readable on the vendor page at review time
Best for
- Teams running agents in production who want traces, detectors and evals in one open-source tool
- Developers who want their coding agent to inspect traces and edit evals through a CLI
Not for
- Teams that need a long-established vendor with published enterprise references
- Anyone who needs a fixed, published price list before trying a tool
Watch out: Directories named ee in the repository fall under a separate enterprise licence, so check which features you are using before assuming the whole self-hosted stack is Apache-2.0.