Make your agents faster, cheaper and better.

Costzera reads your production traces against your code, then finds and fixes the behaviour that wastes time and money.

Get startedSee the benchmark ↓
support-agent · “Refund order #4821”analyzing 0 / 5,000 traces
agent.run12.4s
├llm.plan1.1s
├llm.classify1.9s
├tool.fetch_order0.6s
│└retry 1 · 4220.5s
│└retry 2 · 4220.5s
│└retry 3 · 4220.5s
│└retry 4 · 4220.5s
├ctx.assemble1.1s
├llm.reflect1.6s
├tool.issue_refund0.7s
└llm.respond3.3s
1Overkill modelclassify runs on frontier-max. 94% of outputs are one of three labels.
FixRoute classify to small-fast. Replay accuracy 99.6%.
2Retry loopfetch_order retries a 422 four times. It recovered 0 of 3,140 times.
FixRetry only on 429 and 503, twice max.
3Dead context61 tool schemas and full docs resent every turn. 3 tools are ever used.
FixLoad the 7 tools refund runs need; retrieve the top 4 passages.
Before: 12.4s · $0.38After fixes: 6.3s · $0.19 · quality holds or improves
Benchmark
50%

more efficient on open source agents: cheaper, faster, and better answers.

CostLatencyOutcome quality
BeforeAfter CostzeraQuality risesDrag to rotate
Mission= removed by Costzera

Agents waste time and money in ways that are hard to see and harder to fix.

An inefficient run still returns the right answer, so nothing alerts. The bill and the latency grow one trajectory at a time.

Finding the cause means combing through thousands of traces, guessing which retry loops or which model is overkill, and matching spans back to the code that produced them.

Shipping the fix is no easier: hand-tuning configs, building replays to check quality held, and re-checking every time the agent changes.

The answer isn’t another cost dashboard.

It’s agents that read your production traces against your code, and automate the path from detection to fix to maintenance.

Product

From trace to shipped fix, in one place.

01 · HomeYour fleet, scored for efficiencyEvery agent gets an efficiency score from 30 days of production traces, so you can see which ones waste the most before you open a single trace.
02 · InsightsFindings with the fix attachedEach inefficiency shows what’s wrong, the before and after, and the exact change to your code. Approve it and it ships as a pull request.
03 · AgentOne agent, end to endSee where an agent’s time and money go across its trajectories, and which behaviours are driving it.
04 · LedgerSavings you can auditEvery shipped change is replayed on your own traffic first. A saving is only counted once it holds, with quality unchanged.
Integrations

Plugs into the traces you already collect.

No observability? Use our SDK.pip install costzeraRead the setup docs →
LangSmith
Langfuse
Braintrust
Arize

Where you already work

>costzera analyze my agent
Runs inside your coding agent, Slack and GitHub

Questions

You can’t find these inefficiencies by reading code alone. It takes production traffic to reveal the signals and patterns — which retry actually loops, which model is overkill for the work it’s doing, which context is dead weight on every call. Signal in the traces. Fix in the code.

Bring one agent. See what its behaviour costs.