CheckOps
Braintrust
Braintrust is a hosted platform for AI evals and agent observability: trace production, turn patterns into evals, score releases, and query it from your IDE via MCP.
- LLM & agent evaluation
- AI-enabled testing
- Observability
- SaaS
- Paid
- Free tier
- Release & CI gates
- Production monitoring & observability
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Introduction
Braintrust describes itself as an active observability platform for agents. The official site’s loop is: discover patterns in production, turn them into evals, and improve quality with every release.
The product is organised into Observe (trace everything), Evaluate (test what ships) and Discover (find behaviours). Braintrust’s MCP server connects coding agents to logs, evals and prompts from the IDE. The site lists SOC 2 Type II, HIPAA and GDPR compliance, plus SSO/SAML.
Features
- Tracing: Trace LLM and agent calls in production.
- Evals: Run experiments and score outputs before release.
- Datasets: Build datasets from production logs.
- Discover: Find behaviours and patterns in traces.
- MCP server: Query logs, run evals and update prompts from your IDE.
- Framework agnostic: Works with existing stacks.
- Deployment: Hosted, with on-prem or hosted options on Enterprise.
Pros
- Free starter: $0 plan with unlimited users and projects.
- Clear usage pricing: Data, scores and retention are priced openly.
- Eval-centric: Strong focus on testing what ships.
- Agent integration: MCP access from coding agents.
- Startup programme: 6 to 12 months of Pro free for qualifying startups.
Cons
- Proprietary: Not open source.
- Usage costs add up: Processed data and scores are metered beyond allowances.
- Pro jump: Pro starts at $249 a month.
- Short retention on free: 14 days on Starter.
- Hosted data: Traces live in Braintrust unless you choose enterprise deployment.
Usage and Links (Example)
Sign up for free, install the SDK for your language, log traces from your app, and create an eval comparing outputs against a dataset with scorers. Connect the MCP server so your coding agent can run evals from the IDE. See the docs for SDK setup.
Resources:
Pricing
From Braintrust’s pricing page:
- Starter: $0 a month. $10 model credits, 1 GB processed data (+$4/GB), 10k scores (+$2.50 per 1k), 14-day retention, unlimited users and projects.
- Pro: $249 a month. $100 credits, 5 GB (+$3/GB), 50k scores (+$1.50 per 1k), 30-day retention, RBAC, priority support.
- Enterprise: Custom, with on-prem or hosted deployment.
Recommended for?
- AI product teams that want evals tied to production traces.
- Teams with coding agents that should run evals before shipping prompts.
- Startups eligible for the Pro programme.
- Not a fit if you need self-hosted open source.
Conclusion
Braintrust is a polished, eval-first platform for AI apps and agents with transparent usage pricing.
It is proprietary and metered, so compare with open-source options such as Langfuse or Phoenix.
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Braintrust side by side.
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LLangfuseLangfuse is an open-source platform for LLM traces, prompts, and evals. Self-hosting is free; Langfuse Cloud is paid after a hobby tier.Compare with Braintrust
AArize PhoenixArize Phoenix is an open-source (Elastic License 2.0) AI observability and evaluation tool for tracing, evaluating and improving LLM apps and agents, with a hosted Arize AX tier.Compare with Braintrust
OOpikOpik by Comet is an Apache-2.0 open-source platform to trace, evaluate and monitor LLM apps, RAG systems and agents, with test suites, LLM-as-judge evals and a free cloud tier.Compare with Braintrust
PPromptfooPromptfoo is an open-source CLI for LLM evals and red teaming. The community tool is free; enterprise features are quoted.Compare with Braintrust
DDeepEvalDeepEval is an open-source LLM evaluation library with pytest-style asserts. Confident AI is the optional paid cloud from the same team.Compare with Braintrust