{ "data": { "a": { "slug": "laminar", "name": "Laminar API + MCP", "vendor": "Laminar (LMNR AI)", "vendorUrl": "https://laminar.sh", "kind": "http-api", "category": "agent-observability", "summary": "Open-source tracing, evaluations and an agent debugger built on OpenTelemetry, with browser session recordings synced to traces for browser agents.", "url": "https://www.anchorterminal.com/tools/laminar", "markdownUrl": "https://www.anchorterminal.com/tools/laminar.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/laminar.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/laminar.json", "repo": "https://github.com/lmnr-ai/lmnr", "license": "Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.lmnr.ai/v1", "packages": [ { "registry": "pypi", "name": "lmnr" }, { "registry": "npm", "name": "@lmnr-ai/lmnr" } ], "auth": "api-key", "authNotes": "Project API key as a Bearer token, for ingestion, the REST API and the MCP server. One key maps to one project.", "pricing": "freemium", "pricingNotes": "Free $0 a month with 1 GB of data, 7 days of retention, 1 project and 1 seat, no overage. Starter $30 a month with 3 GB then $2 a GB, 30 days, unlimited projects and seats. Pro $150 a month with 10 GB then $1.50 a GB, 6 months. Enterprise custom with on-premise. Signals (LLM analysis of traces) comes with $2.50, $7.50 or $25 of credit, then $0.05 per million input tokens and $0.35 per million output tokens. Self-hosted open source is free, you run Postgres, ClickHouse and Quickwit yourself. Signals and Slack alerts on self-hosted need an enterprise licence key (https://laminar.sh/pricing).", "priceSummary": "$30 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 3, "popularity": { "githubStars": 3288, "npmWeekly": 79857, "pypiWeekly": 1698863, "asOf": "2026-09-30" }, "docsUrl": "https://laminar.sh/docs", "llmsTxt": "https://laminar.sh/docs/llms.txt", "openapi": "https://laminar.sh/docs/openapi/openapi.yaml", "capabilities": [ "obs.traces", "obs.evals", "obs.datasets" ], "tags": [ "hosted", "freemium", "open-source", "self-hosted", "mcp", "llms-txt", "openapi", "python", "typescript" ], "lastRelease": "2026-09-23", "graded": true, "anchor": { "graded": true, "score": 56.6, "grade": "C", "agentReady": false, "rank": 629, "ranked": true, "rankOf": 950, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 83, "payments": 30, "reliability": 50, "schema": 88, "security": 45, "transparency": 62 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -5, "negativeNotes": [ "2026-08-27. Laminar's own fix says a client-supplied `projectId` in the body of the SQL export-job route overrode the one the server had authorised, allowing cross-tenant SQL execution and bulk data export (CWE-862). The route dates from July 2025. Fixed with a one-line change, disclosed only in the commit message with no advisory or customer notice we could find. -5 after decay for the fix (https://github.com/lmnr-ai/lmnr/commit/5059c7d951fe47d4c91c8016a542a11e82090ade)" ], "verdict": "Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.", "bestFor": "Teams running browser agents who want session replay next to traces, and for agents that read traces through SQL.", "strengths": [ "Browser session recordings synced to traces for Browser Use, Stagehand, Playwright and Puppeteer", "Three MCP tools with descriptions that say when to use each, and SQL that runs SELECT-only on a read-only client", "Apache-2.0 with Docker Compose and Helm self-hosting, and self-hosted telemetry that switches off with one variable", "Priced by GB stored, $2 a GB on Starter and $1.50 on Pro, published without login", "SDK releases most weeks, TypeScript 0.8.49 on 2026-09-23 and Python 0.7.64 on 2026-09-21" ], "weaknesses": [ "A cross-tenant SQL execution and export hole was fixed on 27 August 2026 in a commit, with no advisory", "No SECURITY.md, security.txt or published advisories", "Rate limits exist per project but no numbers are published", "Status page covers only the homepage and an echo probe", "Signals, clusters and Slack or email alerts aren't in the open-source build" ], "agentNotes": [ "Use `query_laminar_sql` to find trace IDs, then `get_trace_context` for a compact summary of one run", "Always add a time range and `LIMIT` to SQL. Server caps on time, memory and result size reject wide scans", "On 429 from the SQL API, back off. The per-project limit isn't published", "Set `flush_by_size` when spans carry whole conversation histories, or large batches get rejected", "Keep the project API key in a header, not in the URL" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.6 } ], "editorialScores": { "ergonomics": 80, "maintenance": 83, "payments": 30, "reliability": 50, "schema": 88, "security": 45, "transparency": 57 }, "provenanceScore": 67 }, "connect": { "http": "curl https://api.lmnr.ai/v1/project -H \"Authorization: Bearer $LMNR_PROJECT_API_KEY\"", "claudeCode": "claude mcp add --transport http laminar https://api.lmnr.ai/v1/mcp \\\n --header \"Authorization: Bearer $LMNR_PROJECT_API_KEY\"" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/laminar" }, "area": "developer", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 30, "note": "3 GB of data, 30 days retention, unlimited seats" }, { "item": "Pro plan", "unit": "month", "usd": 150, "note": "10 GB of data, 6 months retention" }, { "item": "Extra data on Starter", "unit": "gb", "usd": 2 }, { "item": "Extra data on Pro", "unit": "gb", "usd": 1.5 } ], "provenance": { "legalEntity": "LMNR AI, Inc.", "domain": "laminar.sh", "domainRegistered": "", "domainNote": "The .sh registry has no RDAP service. The former domain lmnr.ai, registered 2024-02-26, now redirects to laminar.sh and still serves the API.", "endpointOnVendorDomain": true, "terms": "https://laminar.sh/policies/terms", "privacy": "https://laminar.sh/policies/privacy", "statusPage": "https://status.laminar.sh", "changelog": "https://laminar.sh/docs/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/laminar.json", "live": { "slug": "laminar", "probe": { "target": "https://api.lmnr.ai/v1", "method": "get", "lastAt": "2026-10-10T03:53:31.963003404Z", "lastOk": true, "lastStatus": 404, "lastMs": 266, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 262, "p95ms24h": 342, "samples24h": 249, "samples30d": 2476, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "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": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.laminar.sh", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:45.081355528Z" }, "versions": [ { "registry": "github", "name": "lmnr-ai/lmnr", "version": "v0.2.5", "released": "2026-09-13", "seenAt": "2026-10-09T17:01:10.921704374Z" }, { "registry": "npm", "name": "@lmnr-ai/lmnr", "version": "0.8.50", "seenAt": "2026-10-09T17:01:10.034838694Z" }, { "registry": "pypi", "name": "lmnr", "version": "0.7.66", "released": "2026-10-08", "seenAt": "2026-10-09T17:01:09.844654569Z" } ], "githubStars": 3366, "npmWeekly": 50433, "pypiWeekly": 1417058, "securityTxt": { "url": "https://laminar.sh/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:32.65538848Z" }, "llmsTxt": { "url": "https://laminar.sh/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:13.117730659Z" }, "domain": { "domain": "laminar.sh", "checkedAt": "2026-10-04T13:08:33.087077121Z" }, "pages": [ { "url": "https://laminar.sh/docs/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:40:51.121892306Z", "changedAt": "2026-10-09T18:40:51.121892306Z", "fingerprint": "95f5f42e72a0" }, { "url": "https://laminar.sh/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:40:57.361552768Z", "changedAt": "2026-10-06T16:09:56.88152339Z", "fingerprint": "01dfef303505" }, { "url": "https://laminar.sh/policies/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:40:53.442220685Z", "changedAt": "2026-10-06T16:09:52.898864083Z", "fingerprint": "8a5158639e90" }, { "url": "https://laminar.sh/policies/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:40:55.267038977Z", "changedAt": "2026-10-06T16:09:54.933933309Z", "fingerprint": "fbe76e3f4607" } ], "updatedAt": "2026-10-10T03:53:31.963003404Z" } }, "answer": "MLflow Tracing scores 61.2 (C) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 3 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation, agent ergonomics 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": "Laminar (LMNR AI)", "b": "MLflow Project (LF Projects, LLC)", "name": "Vendor" }, { "a": "https://api.lmnr.ai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "stdio, HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "3", "b": "26", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-23", "b": "2026-10-06", "name": "Last release" }, { "a": "2026-08-11", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-11", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "", "name": "Customer content may train models" }, { "a": "yes", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "3.3k stars, 80k npm/wk, 1.7M PyPI/wk", "b": "28k stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "MLflow Tracing scores 61.2 (C) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 3 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.", "question": "Which is better for AI agents, Laminar API + MCP or MLflow Tracing?" }, { "answer": "Laminar API + MCP needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.", "question": "Do Laminar API + MCP and MLflow Tracing need an API key?" }, { "answer": "Laminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1. MLflow Tracing runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Laminar API + MCP and MLflow Tracing without installing anything?" }, { "answer": "Yes. Laminar API + MCP is open source (Apache-2.0). MLflow Tracing is open source (Apache-2.0).", "question": "Are Laminar API + MCP and MLflow Tracing open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 88 against 78", "Agent ergonomics, 80 against 72", "Security \u0026 auth, 45 against 40" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams running browser agents who want session replay next to traces, and for agents that read traces through SQL.", "slug": "laminar", "watchFor": "A cross-tenant SQL execution and export hole was fixed on 27 August 2026 in a commit, with no advisory" }, { "aheadOn": [ "Reliability, 76 against 50", "Payments \u0026 pricing, 60 against 30", "Maintenance \u0026 community, 88 against 83" ], "also": [ "Runs on your own machine" ], "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-laminar.json", "title": "Arize Phoenix vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-laminar" }, { "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-laminar.json", "title": "Baserun vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/baserun-vs-laminar" }, { "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-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-mlflow-tracing.json", "title": "Braintrust API + MCP vs MLflow Tracing", "url": "https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing" }, { "json": "https://www.anchorterminal.com/compare/galileo-vs-laminar.json", "title": "Galileo API + MCP vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/galileo-vs-laminar" }, { "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-laminar.json", "title": "Helicone AI Gateway + MCP vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/helicone-vs-laminar" }, { "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-laminar.json", "title": "HoneyHive vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-laminar" }, { "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-langfuse.json", "title": "Laminar API + MCP vs Langfuse API + MCP", "url": "https://www.anchorterminal.com/compare/laminar-vs-langfuse" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-langsmith.json", "title": "Laminar API + MCP vs LangSmith API + MCP", "url": "https://www.anchorterminal.com/compare/laminar-vs-langsmith" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-langwatch.json", "title": "Laminar API + MCP vs LangWatch", "url": "https://www.anchorterminal.com/compare/laminar-vs-langwatch" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-prefactor.json", "title": "Laminar API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/laminar-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-pydantic-logfire.json", "title": "Laminar API + MCP vs Pydantic Logfire", "url": "https://www.anchorterminal.com/compare/laminar-vs-pydantic-logfire" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-respan.json", "title": "Laminar API + MCP vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/laminar-vs-respan" }, { "json": "https://www.anchorterminal.com/compare/laminar-vs-wandb-weave.json", "title": "Laminar API + MCP vs W\u0026B Weave", "url": "https://www.anchorterminal.com/compare/laminar-vs-wandb-weave" }, { "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-laminar.json", "title": "DeepEval vs Laminar API + MCP", "url": "https://www.anchorterminal.com/compare/deepeval-vs-laminar" }, { "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": [ { "by": 26, "edge": "mlflow-tracing", "key": "reliability", "laminar": 50, "mlflow-tracing": 76, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 10, "edge": "laminar", "key": "schema", "laminar": 88, "mlflow-tracing": 78, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 8, "edge": "laminar", "key": "ergonomics", "laminar": 80, "mlflow-tracing": 72, "name": "Agent ergonomics", "weight": 13 }, { "by": 5, "edge": "laminar", "key": "security", "laminar": 45, "mlflow-tracing": 40, "name": "Security \u0026 auth", "weight": 14 }, { "by": 30, "edge": "mlflow-tracing", "key": "payments", "laminar": 30, "mlflow-tracing": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 5, "edge": "mlflow-tracing", "key": "maintenance", "laminar": 83, "mlflow-tracing": 88, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 0, "edge": "", "key": "transparency", "laminar": 62, "mlflow-tracing": 62, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "MLflow Tracing scores 61.2 (C) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 3 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do agent tracing.", "verdicts": { "laminar": "Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.", "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/laminar-vs-mlflow-tracing", "json": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.md", "slim": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.min.md" }, "markdown": "MLflow Tracing scores 61.2 (C) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 3 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do agent tracing.\n\n- Laminar API + MCP: grade C, 56.6/100, rank #629 of 950. Markdown https://www.anchorterminal.com/tools/laminar.md · JSON https://www.anchorterminal.com/api/v1/tools/laminar.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### Laminar API + MCP (C)\n\nGood for: Teams running browser agents who want session replay next to traces, and for agents that read traces through SQL.\n\nAhead on:\n- Schema \u0026 documentation, 88 against 78\n- Agent ergonomics, 80 against 72\n- Security \u0026 auth, 45 against 40\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: A cross-tenant SQL execution and export hole was fixed on 27 August 2026 in a commit, with no advisory\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 50\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 88 against 83\n\nAlso in its favour:\n- Runs on your own machine\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 | Laminar API + MCP | MLflow Tracing | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 76 | MLflow Tracing +26 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 78 | Laminar API + MCP +10 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 72 | Laminar API + MCP +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 40 | Laminar API + MCP +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | MLflow Tracing +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 88 | MLflow Tracing +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 62 | even |\n| Negative events | ≤15 | -5 | -6 | |\n| **Total** | | **56.6 · C** | **61.2 · C** | |\n\n## Facts side by side\n\n| Fact | Laminar API + MCP | MLflow Tracing |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Laminar (LMNR AI) | MLflow Project (LF Projects, LLC) |\n| Hosted endpoint | `https://api.lmnr.ai/v1` | no (local only) |\n| Transports | HTTP, Streamable HTTP | stdio, HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Tools exposed | 3 | 26 |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-23 | 2026-10-06 |\n| Terms last updated | 2026-08-11 | no document linked |\n| Privacy policy last updated | 2026-08-11 | no document linked |\n| Customer content may train models | yes, with an opt-out | |\n| Terms restrict automated access | yes | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | yes | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 3.3k stars, 80k npm/wk, 1.7M PyPI/wk | 28k stars |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**Laminar API + MCP.** Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.\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### Laminar API + MCP\n\n1. Use `query_laminar_sql` to find trace IDs, then `get_trace_context` for a compact summary of one run\n2. Always add a time range and `LIMIT` to SQL. Server caps on time, memory and result size reject wide scans\n3. On 429 from the SQL API, back off. The per-project limit isn't published\n4. Set `flush_by_size` when spans carry whole conversation histories, or large batches get rejected\n5. Keep the project API key in a header, not in the URL\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, Laminar API + MCP or MLflow Tracing?\n\nMLflow Tracing scores 61.2 (C) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 3 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do Laminar API + MCP and MLflow Tracing need an API key?\n\nLaminar API + MCP needs an API key. MLflow Tracing takes an API key or an OAuth sign-in.\n\n### Can an agent call Laminar API + MCP and MLflow Tracing without installing anything?\n\nLaminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1. MLflow Tracing runs on your own machine, with no hosted endpoint listed.\n\n### Are Laminar API + MCP and MLflow Tracing open source?\n\nYes. Laminar API + MCP is open source (Apache-2.0). MLflow Tracing is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.json, and with the fewest tokens: https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"laminar\", \"b\": \"mlflow-tracing\"}`. From a terminal: `anchor compare laminar mlflow-tracing`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/laminar.json and https://www.anchorterminal.com/api/v1/tools/mlflow-tracing.json\n\n## Other comparisons with Laminar API + MCP or MLflow Tracing\n\n- [Arize Phoenix vs Laminar API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-laminar.md)\n- [Arize Phoenix vs MLflow Tracing](https://www.anchorterminal.com/compare/arize-phoenix-vs-mlflow-tracing.md)\n- [Baserun vs Laminar API + MCP](https://www.anchorterminal.com/compare/baserun-vs-laminar.md)\n- [Baserun vs MLflow Tracing](https://www.anchorterminal.com/compare/baserun-vs-mlflow-tracing.md)\n- [Braintrust API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-laminar.md)\n- [Braintrust API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/braintrust-vs-mlflow-tracing.md)\n- [Galileo API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/galileo-vs-laminar.md)\n- [Galileo API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/galileo-vs-mlflow-tracing.md)\n- [Helicone AI Gateway + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/helicone-vs-laminar.md)\n- [Helicone AI Gateway + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/helicone-vs-mlflow-tracing.md)\n- [HoneyHive vs Laminar API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-laminar.md)\n- [HoneyHive vs MLflow Tracing](https://www.anchorterminal.com/compare/honeyhive-vs-mlflow-tracing.md)\n- [Laminar API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langfuse.md)\n- [Laminar API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langsmith.md)\n- [Laminar API + MCP vs LangWatch](https://www.anchorterminal.com/compare/laminar-vs-langwatch.md)\n- [Laminar API + MCP vs Prefactor](https://www.anchorterminal.com/compare/laminar-vs-prefactor.md)\n- [Laminar API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/laminar-vs-pydantic-logfire.md)\n- [Laminar API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/laminar-vs-respan.md)\n- [Laminar API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/laminar-vs-wandb-weave.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 Laminar API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-laminar.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": "Laminar API + MCP vs MLflow Tracing", "url": "" } ], "description": "MLflow Tracing scores 61.2 (C) to Laminar's 56.6 (C) for agent tracing. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Laminar API + MCP C 56.6", "MLflow Tracing C 61.2", "scores" ], "h1": "Laminar API + MCP vs MLflow Tracing", "image": "https://www.anchorterminal.com/assets/og/compare-laminar-vs-mlflow-tracing.png", "path": "/compare/laminar-vs-mlflow-tracing", "published": "2026-10-01", "section": "tools", "title": "Laminar vs MLflow Tracing for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/laminar-vs-mlflow-tracing" }, "tokens": { "markdown": 2650, "slim": 730 }, "version": 1 }