Snapshot
Continue to About ↓- What it does
- Judgment is a monitoring and improvement layer for AI agents, especially long-horizon agents with many steps, subagents and tool calls.
More detail
- It ingests production traces, uses evaluator judges and background agents to surface known and unknown failures, supports behavioral search, and runs offline tests so teams can confirm a fix before shipping.
- Best for
- Agent-native engineering teams running multi-step or multi-agent systems who want to discover production failure modes, monitor known ones, and test fixes offline.
More detail
- Teams that prefer headless access via MCP, a Slack agent, scheduled task triage, and alerts over more dashboards.
- Pricing
- Subscription plus usage-based billing.
More detail
- Beginner is $0/mo with $100 credits in the first month and $50/mo thereafter, plus pay-as-you-go at token rates
- 1 GB ingest free then $1.50/GB, 10k evaluator runs free then $2 per 1k, 14-day retention.
- Pro is $250/mo including $250 credits and PAYGO thereafter
- Main limitation
- Very low-volume or price-sensitive users: the entry plan is $0 with first-month credits but carries a recurring $50/mo platform credit minimum, and Beginner retention is only 14 days.
More detail
- Buyers needing SSO/SAML or bring-your-own-cloud must go to Enterprise, and lower tiers have no published SLA.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Judgment is a monitoring and improvement layer for AI agents, especially long-horizon agents with many steps, subagents and tool calls.
- It ingests production traces, uses evaluator judges and background agents to surface known and unknown failures, supports behavioral search, and runs offline tests so teams can confirm a fix before shipping.
What it helps with
- Production agent failures are hard to detect without being told what to look for; background Issues agents surface recur
- Root-cause hunting is manual; the Slack agent answers scoping questions such as how often a failure occurred and how muc
- Known failures need continuous watching rather than one-off review; judges label live traffic and alert when they fire.
- Fixes ship unverified; offline tests grade datasets with the same judges and runs are compared over time.
- Judge quality itself is unmeasured; Judge Alignment reports a judge's agreement against human labels.
- Large agent traces drive up ingest cost, which the vendor addresses with storage tuned for long-horizon traces (figures
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Agent tracing | Yes | Traces agents of any depth, from subagents and tool calls to hundreds of spans, with span attributes, tool input/output ad sessions. |
| Failure discovery (Issues) | Yes | Background agents surface failure modes you did not know existed, such as retry loops or over-refunds. |
| Evaluator judges | Yes | Agentic, condition and code judge types; code judges are creatable only via API or MCP, and a judge's evaluation method cannot be changed after creation. |
| Behavioral agent search | Limited | Hybrid structured plus semantic search; listed as free during beta, so the feature is not settled. |
| Offline evals and test runs | Yes | Grade datasets with your judges and compare runs before shipping a fix. |
| Scheduled tasks and automations | Yes | Recurring jobs such as daily quality review, escalation checks, tool call audits and hallucination sweeps. |
| Slack agent and MCP access | Yes | Ask about your agents in Slack or use Judgment headless via MCP from Claude, Codex, Cursor or any MCP client. |
| Judge alignment against human labels | Yes | Compares judge verdicts with human verdicts; the vendor reports a refund-accuracy judge going from 72% to 94%. |
| Role-based access control | Limited | Included from Pro; not included on Beginner. |
| SSO, SAML and bring-your-own-cloud | Limited | Enterprise only. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- judgmentlabs.ai
Technical profile details
Record ID
bcfa4eec-d285-4069-8e49-b0f46b232b29Canonical URLhttps://profiles.scribble.network/listing/judgment-labs-bcfa4eec