{ "data": { "a": { "slug": "braintrust", "name": "Braintrust API + MCP", "vendor": "Braintrust", "vendorUrl": "https://www.braintrust.dev", "kind": "http-api", "category": "agent-observability", "summary": "Hosted tracing, logging and evaluation for LLM apps and agents, with experiments, datasets, prompts, online scorers and a model gateway.", "url": "https://www.anchorterminal.com/tools/braintrust", "markdownUrl": "https://www.anchorterminal.com/tools/braintrust.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/braintrust.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/braintrust.json", "repo": "https://github.com/braintrustdata/braintrust-sdk-javascript", "license": "Apache-2.0 (SDKs only, platform closed source)", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.braintrust.dev/v1", "packages": [ { "registry": "npm", "name": "braintrust" }, { "registry": "pypi", "name": "braintrust" } ], "auth": "mixed", "authNotes": "REST API and SDKs take an org API key as a Bearer token (BRAINTRUST_API_KEY). The hosted MCP server accepts OAuth 2.0 with dynamic client registration or the same API key, and acts with the permissions of the key's account. EU and self-hosted data planes have their own API and MCP URLs.", "pricing": "freemium", "pricingNotes": "Starter is free with no card, unlimited users, 1 GB processed data and 10,000 scores a month, 14-day retention and $10 of model credit. Overage $4 a GB and $2.50 per 1,000 scores. Pro $249 a month with 5 GB, 50,000 scores, $100 of model credit and 30-day retention, then $3 a GB, $1.50 per 1,000 scores and $0.50 a GB a month for longer retention. Qualifying startups can get Pro free for 6 to 12 months. Enterprise is custom and adds on-prem or hybrid deployment, a BAA and SLAs (https://www.braintrust.dev/pricing).", "priceSummary": "$249 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 42, "popularity": { "githubStars": null, "npmWeekly": 2018529, "pypiWeekly": 1701906, "asOf": "2026-09-30" }, "docsUrl": "https://www.braintrust.dev/docs", "llmsTxt": "https://www.braintrust.dev/docs/llms.txt", "openapi": "https://www.braintrust.dev/docs/openapi.json", "registryName": "io.github.braintrustdata/braintrust", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.gateway", "obs.datasets" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "closed-source", "enterprise" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 61.1, "grade": "C", "agentReady": false, "rank": 479, "ranked": true, "rankOf": 950, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 85, "payments": 40, "reliability": 61, "schema": 85, "security": 58, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -4, "negativeNotes": [ "Fixed 2026-07-16. The Python SDK's LiteLLM instrumentation in versions 0.2.0 to 0.27.x wrote provider credentials into trace metadata, among them API keys, `Authorization` headers, Azure tokens and AWS access and secret keys. Fixed in 0.28.0 with a metadata allowlist, and a knowledge-base page tells users to rotate. It reads as an advisory but isn't filed as one and carries no date. -2 after decay (https://braintrust.dev/docs/kb/litellm-instrumentation-may-record-provider-credentials.md)", "Fixed 2026-07-16. The TypeScript SDK from 0.4.0 to 3.23.0 recorded API keys passed to the Claude Agent SDK through `options.apiKey` into trace metadata. The 3.23.1 changelog line calls the fix \"Clean up span metadata\", and only the knowledge-base page explains the exposure and asks for rotation. -2 after decay (https://braintrust.dev/docs/kb/claude-agent-sdk-api-keys-recorded-in-trace-metadata.md)" ], "verdict": "OpenAPI 3.0.3 spec with 75 paths, 429 and `Retry-After` declared on 154 operations. Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane.", "bestFor": "Teams that want evals, datasets and production logs in one hosted product and will drive it from a coding agent through MCP or SQL.", "strengths": [ "OpenAPI 3.0.3 spec with 75 paths, 429 and `Retry-After` declared on 154 operations", "Hosted MCP server with 42 tools, OAuth 2.0 or API key, and `sql_query` that hands results over 1 MB back as a signed URL", "Service tokens can be scoped to single projects through permission groups on every plan", "Starter is free with no card, unlimited users and published per-GB and per-score overage prices", "TypeScript and Python SDKs both released on 2026-10-01, with 34 releases between them since 16 July" ], "weaknesses": [ "Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane", "Python SDK up to 0.27.x and TypeScript SDK up to 3.23.0 recorded provider credentials in trace metadata, fixed on 2026-07-16 without a formal advisory", "All 42 MCP tools load by default and write tools act with the full permissions of the signed-in account", "Only BTQL has a published rate limit, about 20 queries a minute on Starter and Pro", "Privacy notice dates from September 2023 and excludes customer data. Starter keeps data for 14 days" ], "agentNotes": [ "Connect a project-scoped service token rather than a personal key, because MCP write tools act with the key's full permissions", "Set the client to confirm MCP write tools such as `edit_dataset_rows` and `create_threshold_alert`. The server has no read-only mode", "Cache `sql_query` results. Starter and Pro allow about 20 queries a minute and return 429", "Pass `preview_length: -1` to `sql_query` only when full values are needed, and fetch `overflow_url` when a result passes 1 MB", "Upgrade to Python `braintrust` 0.28.0 or TypeScript 3.23.1 or later and rotate any provider keys traced before July 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.1 } ], "editorialScores": { "ergonomics": 66, "maintenance": 85, "payments": 40, "reliability": 61, "schema": 85, "security": 58, "transparency": 50 }, "provenanceScore": 81 }, "connect": { "http": "curl https://api.braintrust.dev/v1/project -H \"Authorization: Bearer $BRAINTRUST_API_KEY\"", "claudeCode": "claude mcp add --transport http braintrust https://api.braintrust.dev/mcp", "config": { "mcpServers": { "braintrust": { "headers": { "Authorization": "Bearer ${BRAINTRUST_API_KEY}" }, "type": "http", "url": "https://api.braintrust.dev/mcp" } } } }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/braintrust" }, "area": "developer", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 249, "note": "5 GB processed data, 50,000 scores, 30-day retention" }, { "item": "Processed data on Starter", "unit": "gb", "usd": 4 }, { "item": "Processed data on Pro", "unit": "gb", "usd": 3 }, { "item": "Extended retention on Pro", "unit": "gb", "usd": 0.5, "note": "per GB a month beyond 30 days" } ], "provenance": { "legalEntity": "Braintrust Data, Inc.", "domain": "braintrust.dev", "domainRegistered": "2021-03-25", "endpointOnVendorDomain": true, "terms": "https://www.braintrust.dev/legal/terms-of-service", "privacy": "https://www.braintrust.dev/legal/privacy-policy", "statusPage": "https://status.braintrust.dev", "changelog": "https://www.braintrust.dev/docs/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 81 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/braintrust.json", "live": { "slug": "braintrust", "probe": { "target": "https://api.braintrust.dev/v1", "method": "get", "lastAt": "2026-10-10T02:54:49.360712811Z", "lastOk": true, "lastStatus": 200, "lastMs": 105, "authRequired": false, "uptime24h": 99.6, "uptime30d": 99.8, "p50ms24h": 107, "p95ms24h": 184, "samples24h": 249, "samples30d": 2466, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 34 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 271 }, { "date": "2026-10-05", "probes": 272, "ok": 271 }, { "date": "2026-10-06", "probes": 272, "ok": 271 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 249 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.braintrust.dev", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T02:49:57.38062302Z" }, "versions": [ { "registry": "github", "name": "braintrustdata/braintrust-sdk-javascript", "version": "braintrust@3.37.2", "released": "2026-10-09", "seenAt": "2026-10-09T16:43:25.844504688Z" }, { "registry": "mcp-registry", "name": "io.github.braintrustdata/braintrust", "version": "1.0.0", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "braintrust", "version": "3.37.2", "seenAt": "2026-10-09T16:43:25.367769379Z" }, { "registry": "pypi", "name": "braintrust", "version": "0.45.0", "released": "2026-10-07", "seenAt": "2026-10-09T16:43:25.65405689Z" } ], "githubStars": 29, "npmWeekly": 1654760, "pypiWeekly": 1617146, "securityTxt": { "url": "https://braintrust.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:32.250409698Z" }, "llmsTxt": { "url": "https://www.braintrust.dev/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:32.783492971Z" }, "domain": { "domain": "braintrust.dev", "registered": "2021-03-25", "source": "https://pubapi.registry.google/rdap/domain/braintrust.dev", "checkedAt": "2026-10-04T13:08:21.062714804Z" }, "pages": [ { "url": "https://www.braintrust.dev/docs/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:48:42.666278986Z", "changedAt": "2026-10-09T18:48:42.666278986Z", "fingerprint": "408b1968074a" }, { "url": "https://www.braintrust.dev/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:48:49.226504701Z", "changedAt": "2026-10-08T18:26:46.642292163Z", "fingerprint": "5d374bff4552" }, { "url": "https://www.braintrust.dev/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:48:45.070114396Z", "changedAt": "2026-10-08T18:26:42.432950997Z", "fingerprint": "11f705ad4b2e" }, { "url": "https://www.braintrust.dev/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:48:47.135231488Z", "changedAt": "2026-10-08T18:26:44.659338097Z", "fingerprint": "d1ceea73697f" } ], "updatedAt": "2026-10-10T02:54:49.360712811Z" } }, "answer": "MLflow Tracing and Braintrust API + MCP score within a point of each other on agent readiness, 61.2 (C) and 61.1 (C). Braintrust API + MCP leads on schema \u0026 documentation and security \u0026 auth.", "b": { "slug": "mlflow-tracing", "name": "MLflow Tracing", "vendor": "MLflow Project (LF Projects, LLC)", "vendorUrl": "https://mlflow.org", "kind": "http-api", "category": "agent-observability", "summary": "Open-source tracing, evaluation and prompt management for LLM applications and agents, part of MLflow, a Linux Foundation project. Owners run the server themselves, and agents read and annotate traces through an experimental MCP server or the `mlflow traces` CLI.", "url": "https://www.anchorterminal.com/tools/mlflow-tracing", "markdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json", "repo": "https://github.com/mlflow/mlflow", "license": "Apache-2.0", "transports": [ "stdio", "http" ], "packages": [ { "registry": "pypi", "name": "mlflow" }, { "registry": "pypi", "name": "mlflow-tracing" }, { "registry": "npm", "name": "@mlflow/core" } ], "auth": "mixed", "authNotes": "No authentication on a default server. Starting it with `mlflow server --app-name basic-auth` requires a username and password on every request, with role-based access control and no default admin password. The MCP server is a local stdio process that reads `MLFLOW_TRACKING_URI` and the MLflow credential environment variables, such as `MLFLOW_TRACKING_USERNAME` and `MLFLOW_TRACKING_PASSWORD`. Single sign-on needs a community plugin or a reverse proxy.", "pricing": "free", "pricingNotes": "Free to self-host under Apache-2.0, with no account or contract. The owner pays for compute, a database and artifact storage. The MLflow project sells nothing. Its README links managed MLflow from Databricks, Amazon SageMaker, Azure ML and Nebius, whose prices were not read (checked 2026-10-09).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository docs or the MCP server source (checked 2026-10-09).", "endpoints": [] }, "toolCount": 26, "popularity": { "githubStars": 28320, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://mlflow.org/docs/latest/genai/", "llmsTxt": "https://mlflow.org/docs/latest/llms.txt", "capabilities": [ "obs.traces", "obs.evals", "obs.prompts", "obs.datasets", "obs.gateway" ], "tags": [ "open-source", "self-hosted", "local", "apache-2.0", "mcp", "cli", "opentelemetry", "llms-txt", "python", "typescript", "linux-foundation" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 61.2, "grade": "C", "agentReady": false, "rank": 476, "ranked": true, "rankOf": 950, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 88, "payments": 60, "reliability": 76, "schema": 78, "security": 40, "transparency": 62 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -6, "negativeNotes": [ "2026-10-09: GHSA-26p8-2jq9-3vq9, critical, remote code execution on MLflow servers without authentication through third-party scorer deserialisation, affecting 3.12.0rc0 up to 3.17.0 and patched in 3.17.0 of 6 October. Four more advisories were published between 27 July and 4 August 2026, among them GHSA-7gwp-5pfp-969j, a high-severity unauthenticated SSRF in webhook delivery patched in 3.15.0. All are published with fixes, so the deduction is reduced (https://github.com/mlflow/mlflow/security/advisories)" ], "verdict": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.", "bestFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.", "strengths": [ "Apache-2.0 licence, free to self-host, with nothing to buy from the project", "`extract_fields` on `search_traces` and `get_trace` returns only the named fields, with `max_results` and `page_token` for paging", "The server accepts OTLP at `/v1/traces`, so applications in any OpenTelemetry language can send spans", "Seven releases between 31 July and 6 October 2026, with breaking changes listed in the changelog", "`MLFLOW_MCP_TOOLS` limits the MCP server to named tool categories, such as `traces` alone" ], "weaknesses": [ "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool", "The tracking server has no authentication unless started with `--app-name basic-auth`", "Five security advisories published between 27 July and 9 October 2026, one a critical unauthenticated remote code execution fixed in 3.17.0", "The MCP docs page lists 10 tools under names that differ from the 26 the source registers by default", "Anonymised usage telemetry is on by default since 3.2.0 and records each MCP server start", "No audit log and no guidance on untrusted trace content were found in the reviewed documentation" ], "agentNotes": [ "Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication", "Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26", "Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs", "Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`", "Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation", "Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.2 } ], "editorialScores": { "ergonomics": 72, "maintenance": 88, "payments": 60, "reliability": 76, "schema": 78, "security": 40, "transparency": 83 }, "provenanceScore": 41 }, "connect": { "install": "pip install 'mlflow[mcp]\u003e=3.5.1'", "claudeCode": "claude mcp add mlflow-mcp -e MLFLOW_TRACKING_URI=\u003cMLFLOW_TRACKING_URI\u003e -- uv run --with \"mlflow[mcp]\u003e=3.5.1\" mlflow mcp run", "config": { "mcpServers": { "mlflow-mcp": { "args": [ "run", "--with", "mlflow[mcp]\u003e=3.5.1", "mlflow", "mcp", "run" ], "command": "uv", "env": { "MLFLOW_TRACKING_URI": "\u003cMLFLOW_TRACKING_URI\u003e" } } } } }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/mlflow-tracing" }, "area": "developer", "provenance": { "legalEntity": "MLflow Project, a Series of LF Projects, LLC", "domain": "mlflow.org", "domainRegistered": "2018-04-05", "endpointOnVendorDomain": false, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md", "securityTxt": "unknown", "checked": "2026-10-09", "notes": [ "The mlflow.org footer reads MLflow Project, a Series of LF Projects, LLC.", "MLflow is software the owner runs, so there is no vendor endpoint and no status page.", "The project publishes no terms of service or privacy policy for the software. `terms` and `privacy` are left out and the Apache-2.0 licence stands in. The telemetry page refers to the LF Projects telemetry data policy.", "mlflow.org/.well-known/security.txt answered 403 from the site's storage. SECURITY.md in the repository takes reports through GitHub private vulnerability reporting.", "RDAP for mlflow.org gives a registration date of 2018-04-05 and 1API GmbH as registrar." ], "score": 41 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mlflow-tracing.json", "live": { "slug": "mlflow-tracing", "versions": [ { "registry": "github", "name": "mlflow/mlflow", "version": "v3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:56.716473096Z" }, { "registry": "npm", "name": "@mlflow/core", "version": "0.4.0", "seenAt": "2026-10-09T17:06:55.82052791Z" }, { "registry": "pypi", "name": "mlflow", "version": "3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:53.813494162Z" }, { "registry": "pypi", "name": "mlflow-tracing", "version": "3.17.0", "released": "2026-10-07", "seenAt": "2026-10-09T17:06:53.928988136Z" } ], "githubStars": 28331, "npmWeekly": 15392, "pypiWeekly": 4590348, "pages": [ { "url": "https://raw.githubusercontent.com/mlflow/mlflow/master/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:45:35.157905643Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "81678c02de88" } ], "updatedAt": "2026-10-09T18:45:35.157905643Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Braintrust", "b": "MLflow Project (LF Projects, LLC)", "name": "Vendor" }, { "a": "https://api.braintrust.dev/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "stdio, HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (SDKs only, platform closed source)", "b": "Apache-2.0", "name": "Licence" }, { "a": "42", "b": "26", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.braintrustdata/braintrust", "b": "not listed", "name": "MCP registry" }, { "a": "2026-10-01", "b": "2026-10-06", "name": "Last release" }, { "a": "2026-07-07", "b": "no document linked", "name": "Terms last updated" }, { "a": "2023-09-21", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "2M npm/wk, 1.7M PyPI/wk", "b": "28k stars", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "MLflow Tracing and Braintrust API + MCP score within a point of each other on agent readiness, 61.2 (C) and 61.1 (C). Braintrust API + MCP leads on schema \u0026 documentation and security \u0026 auth.", "question": "Which is better for AI agents, Braintrust API + MCP or MLflow Tracing?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Braintrust API + MCP and MLflow Tracing need an API key?" }, { "answer": "Braintrust API + MCP has a hosted endpoint at https://api.braintrust.dev/v1. MLflow Tracing runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Braintrust API + MCP and MLflow Tracing without installing anything?" }, { "answer": "No open-source release is listed for Braintrust API + MCP. MLflow Tracing is open source (Apache-2.0).", "question": "Are Braintrust API + MCP and MLflow Tracing open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 85 against 78", "Security \u0026 auth, 58 against 40" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Teams that want evals, datasets and production logs in one hosted product and will drive it from a coding agent through MCP or SQL.", "slug": "braintrust", "watchFor": "Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane" }, { "aheadOn": [ "Reliability, 76 against 61", "Agent ergonomics, 72 against 66", "Payments \u0026 pricing, 60 against 40" ], "also": [ "Runs on your own machine", "Open source" ], "goodFor": "Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.", "slug": "mlflow-tracing", "watchFor": "The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool" } ], "job": { "capability": "obs.traces", "name": "Agent tracing" }, "others": [ { "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-braintrust.json", "title": "Arize Phoenix vs Braintrust API + MCP", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-braintrust" }, { "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.json", "title": "Arize Phoenix vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/baserun-vs-braintrust.json", "title": "Baserun vs Braintrust API + MCP", "url": "https://www.anchorterminal.com/compare/baserun-vs-braintrust" }, { "json": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.json", "title": "Baserun vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-deepeval.json", "title": "Braintrust API + MCP vs DeepEval", "url": "https://www.anchorterminal.com/compare/braintrust-vs-deepeval" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-galileo.json", "title": "Braintrust API + MCP vs Galileo API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-galileo" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-helicone.json", "title": "Braintrust API + MCP vs Helicone AI Gateway + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-helicone" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-honeyhive.json", "title": "Braintrust API + MCP vs HoneyHive", "url": "https://www.anchorterminal.com/compare/braintrust-vs-honeyhive" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-laminar.json", "title": "Braintrust API + MCP vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-laminar" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-langfuse.json", "title": "Braintrust API + MCP vs Langfuse API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-langfuse" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-langsmith.json", "title": "Braintrust API + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-langwatch.json", "title": "Braintrust API + MCP vs LangWatch", "url": "https://www.anchorterminal.com/compare/braintrust-vs-langwatch" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-prefactor.json", "title": "Braintrust API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/braintrust-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-pydantic-logfire.json", "title": "Braintrust API + MCP vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/braintrust-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-respan.json", "title": "Braintrust API + MCP vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/braintrust-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/braintrust-vs-wandb-weave.json", "title": "Braintrust API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/braintrust-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.json", "title": "Galileo API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.json", "title": "Helicone AI Gateway + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.json", "title": "HoneyHive vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.json", "title": "Laminar API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.json", "title": "Langfuse API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.json", "title": "LangSmith API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing.json", "title": "LangWatch vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.json", "title": "MLflow Tracing vs Prefactor", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.json", "title": "MLflow Tracing vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.json", "title": "MLflow Tracing vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.json", "title": "MLflow Tracing vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave" }, { "json": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.json", "title": "DeepEval vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing" } ], "scores": [ { "braintrust": 61, "by": 15, "edge": "mlflow-tracing", "key": "reliability", "mlflow-tracing": 76, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "braintrust": 85, "by": 7, "edge": "braintrust", "key": "schema", "mlflow-tracing": 78, "name": "Schema \u0026 documentation", "weight": 13 }, { "braintrust": 66, "by": 6, "edge": "mlflow-tracing", "key": "ergonomics", "mlflow-tracing": 72, "name": "Agent ergonomics", "weight": 13 }, { "braintrust": 58, "by": 18, "edge": "braintrust", "key": "security", "mlflow-tracing": 40, "name": "Security \u0026 auth", "weight": 14 }, { "braintrust": 40, "by": 20, "edge": "mlflow-tracing", "key": "payments", "mlflow-tracing": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "braintrust": 85, "by": 3, "edge": "mlflow-tracing", "key": "maintenance", "mlflow-tracing": 88, "name": "Maintenance \u0026 community", "weight": 7 }, { "braintrust": 66, "by": 4, "edge": "braintrust", "key": "transparency", "mlflow-tracing": 62, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "MLflow Tracing and Braintrust API + MCP score within a point of each other on agent readiness, 61.2 (C) and 61.1 (C). Braintrust API + MCP leads on schema \u0026 documentation and security \u0026 auth. Both do agent tracing.", "verdicts": { "braintrust": "OpenAPI 3.0.3 spec with 75 paths, 429 and `Retry-After` declared on 154 operations. Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane.", "mlflow-tracing": "Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing", "json": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.md", "slim": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.min.md" }, "markdown": "MLflow Tracing and Braintrust API + MCP score within a point of each other on agent readiness, 61.2 (C) and 61.1 (C). Braintrust API + MCP leads on schema \u0026 documentation and security \u0026 auth. Both do agent tracing.\n\n- Braintrust API + MCP: grade C, 61.1/100, rank #479 of 950. Markdown https://www.anchorterminal.com/tools/braintrust.md · JSON https://www.anchorterminal.com/api/v1/tools/braintrust.json\n- MLflow Tracing: grade C, 61.2/100, rank #476 of 950. Markdown https://www.anchorterminal.com/tools/mlflow-tracing.md · JSON https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n- Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md\n- All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md\n\n## Which one, for what\n\n### Braintrust API + MCP (C)\n\nGood for: Teams that want evals, datasets and production logs in one hosted product and will drive it from a coding agent through MCP or SQL.\n\nAhead on:\n- Schema \u0026 documentation, 85 against 78\n- Security \u0026 auth, 58 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane\n\n### MLflow Tracing (C)\n\nGood for: Teams that already run MLflow or want Apache-2.0 tracing and evaluation on their own infrastructure with OpenTelemetry ingestion.\n\nAhead on:\n- Reliability, 76 against 61\n- Agent ergonomics, 72 against 66\n- Payments \u0026 pricing, 60 against 40\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\n\nWatch for: The MCP server is marked experimental in the docs and sets no `readOnlyHint` or `destructiveHint` on any tool\n\n\n## Score by category\n\n| Category | Weight | Braintrust API + MCP | MLflow Tracing | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 61 | 76 | MLflow Tracing +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 78 | Braintrust API + MCP +7 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 72 | MLflow Tracing +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 40 | Braintrust API + MCP +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | MLflow Tracing +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 88 | MLflow Tracing +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 62 | Braintrust API + MCP +4 |\n| Negative events | ≤15 | -4 | -6 | |\n| **Total** | | **61.1 · C** | **61.2 · C** | |\n\n## Facts side by side\n\n| Fact | Braintrust API + MCP | MLflow Tracing |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Braintrust | MLflow Project (LF Projects, LLC) |\n| Hosted endpoint | `https://api.braintrust.dev/v1` | no (local only) |\n| Transports | HTTP, Streamable HTTP | stdio, HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs only, platform closed source) | Apache-2.0 |\n| Tools exposed | 42 | 26 |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.braintrustdata/braintrust` | not listed |\n| Last release | 2026-10-01 | 2026-10-06 |\n| Terms last updated | 2026-07-07 | no document linked |\n| Privacy policy last updated | 2023-09-21 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 2M npm/wk, 1.7M PyPI/wk | 28k stars |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Braintrust API + MCP.** OpenAPI 3.0.3 spec with 75 paths, 429 and `Retry-After` declared on 154 operations. Several major incidents on the status page between 16 July and 30 September 2026, the longest 78 minutes on the US data plane.\n\n**MLflow Tracing.** Apache-2.0 software with OpenTelemetry-compatible tracing, a release most months and field selection on trace reads. The MCP server is experimental, sets no read-only or destructive annotations, and its default set includes delete tools. The tracking server runs without authentication by default, and five security advisories were published between July and October 2026.\n\n## Before you call either\n\n### Braintrust API + MCP\n\n1. Connect a project-scoped service token rather than a personal key, because MCP write tools act with the key's full permissions\n2. Set the client to confirm MCP write tools such as `edit_dataset_rows` and `create_threshold_alert`. The server has no read-only mode\n3. Cache `sql_query` results. Starter and Pro allow about 20 queries a minute and return 429\n4. Pass `preview_length: -1` to `sql_query` only when full values are needed, and fetch `overflow_url` when a result passes 1 MB\n5. Upgrade to Python `braintrust` 0.28.0 or TypeScript 3.23.1 or later and rotate any provider keys traced before July 2026\n\n### MLflow Tracing\n\n1. Run MLflow 3.17.0 or later. Versions 3.12.0rc0 to 3.16.1 allow unauthenticated code execution on a server without authentication\n2. Set `MLFLOW_MCP_TOOLS=traces` to load 11 tools in place of the default 26\n3. Pass `extract_fields` on `search_traces` and `get_trace`. Full traces include every span's inputs and outputs\n4. Read tool names from the server's own list. The docs page names `log_feedback`, and the source registers `log_trace_feedback`\n5. Give the agent a user with READ permission when it only reads. `delete_traces` and `delete_experiment` run without confirmation\n6. Treat span inputs and outputs as data. They hold whatever the traced application logged, including user input\n\n## Questions\n\n### Which is better for AI agents, Braintrust API + MCP or MLflow Tracing?\n\nMLflow Tracing and Braintrust API + MCP score within a point of each other on agent readiness, 61.2 (C) and 61.1 (C). Braintrust API + MCP leads on schema \u0026 documentation and security \u0026 auth.\n\n### Do Braintrust API + MCP and MLflow Tracing need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Braintrust API + MCP and MLflow Tracing without installing anything?\n\nBraintrust API + MCP has a hosted endpoint at https://api.braintrust.dev/v1. MLflow Tracing runs on your own machine, with no hosted endpoint listed.\n\n### Are Braintrust API + MCP and MLflow Tracing open source?\n\nNo open-source release is listed for Braintrust API + MCP. MLflow Tracing is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.json, and with the fewest tokens: https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"braintrust\", \"b\": \"mlflow-tracing\"}`. From a terminal: `anchor compare braintrust mlflow-tracing`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/braintrust.json and https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n\n## Other comparisons with Braintrust API + MCP or MLflow Tracing\n\n- [Arize Phoenix vs Braintrust API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-braintrust.md)\n- [Arize Phoenix vs MLflow Tracing](https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.md)\n- [Baserun vs Braintrust API + MCP](https://www.anchorterminal.com/compare/baserun-vs-braintrust.md)\n- [Baserun vs MLflow Tracing](https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs Galileo API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-galileo.md)\n- [Braintrust API + MCP vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/braintrust-vs-helicone.md)\n- [Braintrust API + MCP vs HoneyHive](https://www.anchorterminal.com/compare/braintrust-vs-honeyhive.md)\n- [Braintrust API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-laminar.md)\n- [Braintrust API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-langfuse.md)\n- [Braintrust API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-langsmith.md)\n- [Braintrust API + MCP vs LangWatch](https://www.anchorterminal.com/compare/braintrust-vs-langwatch.md)\n- [Braintrust API + MCP vs Prefactor](https://www.anchorterminal.com/compare/braintrust-vs-prefactor.md)\n- [Braintrust API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/braintrust-vs-pydantic-logfire.md)\n- [Braintrust API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-respan.md)\n- [Braintrust API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/braintrust-vs-wandb-weave.md)\n- [Galileo API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.md)\n- [Helicone AI Gateway + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.md)\n- [HoneyHive vs MLflow Tracing](https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.md)\n- [Laminar API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.md)\n- [Langfuse API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.md)\n- [LangSmith API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langsmith-vs-mlflow-tracing.md)\n- [LangWatch vs MLflow Tracing](https://www.anchorterminal.com/compare/langwatch-vs-mlflow-tracing.md)\n- [MLflow Tracing vs Prefactor](https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.md)\n- [MLflow Tracing vs Pydantic Logfire](https://www.anchorterminal.com/compare/mlflow-tracing-vs-pydantic-logfire.md)\n- [MLflow Tracing vs Respan API + MCP](https://www.anchorterminal.com/compare/mlflow-tracing-vs-respan.md)\n- [MLflow Tracing vs W\u0026B Weave](https://www.anchorterminal.com/compare/mlflow-tracing-vs-wandb-weave.md)\n- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Braintrust API + MCP vs MLflow Tracing", "url": "" } ], "description": "MLflow Tracing and Braintrust score within a point of each other for agent tracing, 61.2 and 61.1 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Braintrust API + MCP C 61.1", "MLflow Tracing C 61.2", "scores" ], "h1": "Braintrust API + MCP vs MLflow Tracing", "image": "https://www.anchorterminal.com/assets/og/compare-braintrust-vs-mlflow-tracing.png", "path": "/compare/braintrust-vs-mlflow-tracing", "published": "2026-10-01", "section": "tools", "title": "Braintrust vs MLflow Tracing for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing" }, "tokens": { "markdown": 2750, "slim": 730 }, "version": 1 }