Tells you what's working, what's breaking, and what to change.
Works with your stack
/why
Always something to analyze. Always something to optimize.
01 / analyze
A model update, a tool change, or a new use-case can quietly drop quality without a single error log. TwoTail catches it.
02 / optimize
When you spot something to improve, TwoTail runs the experiments. Offline, against your real traces.
/features
What an autonomous analyst actually does.
Constantly checks your traces for regressions, drift, edge cases, and underperforming segments. Sends you a diagnosis, not a chart.
Figures out which evals actually correlate with the business metrics you care about, and uses them to grade experiments in the sandbox.
Tracks model drift across providers and watches whether you're getting ROI on your tokens. Catches silent regressions a dashboard would miss.
Research-backed patterns (failure clustering, latency decomposition, cost attribution) that run without you writing a query.
Tests prompt, model, and config variants in a sandbox against your real traces. No prod traffic risk.
Does the dirty work. Hands you concise, validated changes (prompt edits, model swaps, config tweaks) ready to apply.
Teach TwoTail your terminology, user segments, and what success looks like. The analysis comes back in your language, not generic LLM-ese.
Send OpenTelemetry traces from any framework. No SDK, no code changes. If you already emit OTel, you're done.
/getting-started
From OTel feed to first optimization, in two weeks.
Send your OpenTelemetry traces to TwoTail. No SDK, no code changes. If you already emit OTel, you're done.
TwoTail surfaces the first regression, drift, or cost outlier on its own. No dashboards to babysit, no queries to write.
TwoTail runs offline experiments against your real traces and hands you a validated change: prompt, model, or config.
TwoTail accepts traces via OpenTelemetry (OTLP). If your agent framework already emits OTel spans (LangChain, LlamaIndex, CrewAI, or custom setups), just point the exporter at your TwoTail endpoint. No SDK to install.
Langfuse and LangSmith are where your trace data lives. TwoTail is what thinks about it. They built a dashboard; we built the analyst. Most of our customers run TwoTail in addition to one of those: same OTel feed, different job.
TwoTail replays your real traces against prompt, model, or config variants in a sandbox, so you can see how a change would have performed before it ever hits production. The output is a tested optimization, not a hypothesis.
No. If you already have OpenTelemetry instrumentation, TwoTail works with your existing setup. If you don't, adding a few lines of OTel config is all it takes.
Your data is stored in isolated Supabase-backed Postgres databases with row-level security. Each account's data is fully segregated, and all connections are encrypted in transit.
TwoTail has a free Starter tier for small projects. Check our pricing page for full details on plans and limits.
Setup in 10 minutes. First insights within a week.