Judgment is optimized for storing and indexing contents of large agent traces.
This enables us to drastically reduce ingest costs while delivering impressive improvements in search latency and quality.
Surface recurring failures, search for anything, and test fixes offline. Judgment is the monitoring and improvement layer for long-horizon agents.
After an empty order lookup, the agent calls the same lookup again instead of asking for the order number.
Judgment is optimized for storing and indexing contents of large agent traces.
This enables us to drastically reduce ingest costs while delivering impressive improvements in search latency and quality.
cheaper tracing than LangSmith
cheaper tracing than Braintrust
| Trace count | Judgment | Braintrust | LangSmith |
|---|---|---|---|
| 10K | $1.50 | $9 | $50 |
| 100K | $15 | $90 | $500 |
| 1M | $150 | $900 | $5k |
| 5M | $750 | $4.5k | $25k |
Pricing estimate. Model constructed based on an assumed average trace size of 300kb, consistent with industry averages.
Thinking of migrating off an alternative solution? Talk to sales
Most off-the-shelf analysis tools don't help agents analyze and group traces the same way you would.
This results in noisy signals and flags that aren't actionable.
Judgment's rich customizability gives insights that help you get the job done.
Accurate partial refunds no longer count, and what's left triples after Oct 14. Nearly all of it is the full order total refunded for one cracked item: the customer reports a single damaged mug on a six-mug order, and the agent refunds all six. The average case is $31 over what the damage was worth, $3,010 across the two weeks. Orders of three or more items account for 88 of the 97, which is where a whole-order refund costs the most. Single-item orders barely appear, since refunding the order and refunding the item are the same thing there.
Only count it when the refund is more than damaged_items.value
Trace agents of any depth, from subagents and tool calls to hundreds of spans.
From user complaints to agents running down rabbitholes, Judgment monitors signals you want to watch.
Run with any method: filters, code checks, decision models, and agentic judges.
Background agents surface failures you didn't know existed.
Our hybrid search combines structured and semantic filters with customizable signals to give you any insight.
Use our cloud or run Judgment inside your own AWS or GCP account.
Deploy Judgment inside your own cloud account. All of your data stays with you.
Your traces are never used to train models.
Integrate with your identity provider.
Granular permission to access your data.
Judgment's team is no BS, blazingly fast, and easy to work with. We had our special handling for health data up and running in an afternoon.
From your first experiment to your production deployment.
Research
Why long-horizon agents need agentic judges that can search, verify, and adapt.
Perspective
Exploring the challenges with current evaluation methods and proposing a new approach grounded in production data.