Discover
Braintrust's investigation pillar: it applies a model to a project's own production traces on a schedule, surfaces recurring failure modes as evidence-backed patterns, classifies traffic into topics, and turns a confirmed finding into a regression dataset and scorer.
What it does
- Evaluation and observability
- Data analysis
Sources
- Pricing
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Plan names, rates, allowances and overage rates read from braintrust.dev/pricing on 2026-09-19.
- Description
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Official documentation · 19 Sep 2026
Read 2026-09-19: "Automatically surface important agent behavior, investigate the evidence, and turn what you learn into measurable improvements", "Braintrust continuously applies intelligence to production data to surface important behavior", with "Natural language trace investigation", "Evidence-backed pattern discovery", "Topic classification at scale" and "Failure diagnosis from traces".
- What it does
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Official documentation · 19 Sep 2026
Diagnosing agent failures from production traces is evaluation-observability; classifying traffic into topics and reporting on it is data-analysis.
- Sold within
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Carried by a Braintrust plan: the pricing page attributes its cost to the shared model-credit allowance -- "Your monthly model credit covers AI features like Topics" -- and lists no Discover SKU.
- Name
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Official documentation · 19 Sep 2026
Braintrust's own Product menu lists three products -- Observe, Evaluate and Discover -- and links each to its own page; this page's heading is "Discover".
- URL
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Official documentation · 19 Sep 2026
The product's own page under braintrust.dev/product/, read in full on 2026-09-19. It is absent from braintrust.dev/sitemap.xml, which lists only the homepage, pricing, legal, careers and content pages -- the pages were found from the vendor's own navigation instead.
- Deployment
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The Enterprise tier's own line: "premium support with on-prem or hosted deployment for high volume or privacy-sensitive data"; the two self-serve plans are hosted.
Also from Braintrust
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Braintrust Platform
Stores production agent traces in its own datastore, turns the patterns it finds there into evaluation datasets, and scores every release against them.
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Loop AI agent
Loop is an AI agent that investigates Braintrust logs, experiments, and datasets.
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Patterns Application
Patterns uses Loop to investigate production traces and record recurring problems and trends.
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Observe Platform
Braintrust's production-tracing pillar: every prompt, response, tool call and retrieved context logged from the SDK or its gateway, searchable across millions of logs, with latency, cost and quality scored live and alerted on when they drift.
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Evaluate Platform
Braintrust's offline-evaluation pillar: versioned datasets built from production logs or curated by hand, scorers written as code, as LLM judges or as human review, side-by-side experiments across prompts and models, and CI gates that block a regression before it ships.
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