{ "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": 488, "ranked": true, "rankOf": 722, "categoryRank": 7, "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": "2026-10-08T21:12:13.495947538Z", "lastOk": true, "lastStatus": 404, "lastMs": 249, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 265, "p95ms24h": 336, "samples24h": 271, "samples30d": 2157, "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": 239, "ok": 239 } ] }, "vendorStatus": { "page": "https://status.laminar.sh", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:38:44.53259663Z" }, "versions": [ { "registry": "github", "name": "lmnr-ai/lmnr", "version": "v0.2.5", "released": "2026-09-13", "seenAt": "2026-10-08T16:18:15.183795075Z" }, { "registry": "npm", "name": "@lmnr-ai/lmnr", "version": "0.8.49", "seenAt": "2026-10-08T16:18:11.552194049Z" }, { "registry": "pypi", "name": "lmnr", "version": "0.7.66", "released": "2026-10-08", "seenAt": "2026-10-08T16:18:11.434528614Z" } ], "githubStars": 3362, "npmWeekly": 77663, "pypiWeekly": 1626991, "securityTxt": { "url": "https://laminar.sh/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:06.520406985Z" }, "llmsTxt": { "url": "https://laminar.sh/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:33.791982022Z" }, "domain": { "domain": "laminar.sh", "checkedAt": "2026-10-04T13:08:33.087077121Z" }, "pages": [ { "url": "https://laminar.sh/docs/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:21:08.968910959Z", "changedAt": "2026-10-08T18:21:08.968910959Z", "fingerprint": "e3462deab98e" }, { "url": "https://laminar.sh/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:21:15.208212827Z", "changedAt": "2026-10-06T16:09:56.88152339Z", "fingerprint": "01dfef303505" }, { "url": "https://laminar.sh/policies/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:21:11.27349282Z", "changedAt": "2026-10-06T16:09:52.898864083Z", "fingerprint": "8a5158639e90" }, { "url": "https://laminar.sh/policies/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:21:13.113490997Z", "changedAt": "2026-10-06T16:09:54.933933309Z", "fingerprint": "fbe76e3f4607" } ], "updatedAt": "2026-10-08T21:12:13.495947538Z" } }, "answer": "Prefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust.", "b": { "slug": "prefactor", "name": "Prefactor", "vendor": "Prefactor Pty Ltd", "vendorUrl": "https://prefactor.tech", "kind": "http-api", "category": "agent-observability", "summary": "Prefactor is a hosted service that records AI agent runs as spans, classifies each run's data risk and stores quality evaluations. Agents and scripts reach it through an HTTP and WebSocket API, TypeScript and Python SDKs and a CLI.", "url": "https://www.anchorterminal.com/tools/prefactor", "markdownUrl": "https://www.anchorterminal.com/tools/prefactor.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prefactor.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prefactor.json", "repo": "https://github.com/prefactordev/typescript-sdk", "license": "Proprietary hosted service. The TypeScript and Python SDKs and the CLI are MIT", "transports": [ "http" ], "remoteUrl": "https://app.prefactorai.com/api/v1", "packages": [ { "registry": "npm", "name": "@prefactor/core" }, { "registry": "npm", "name": "@prefactor/cli" }, { "registry": "pypi", "name": "prefactor-core" } ], "auth": "api-key", "authNotes": "Self-serve. A person signs in at app.prefactorai.com and creates an API token, sent as `Authorization: Bearer \u003ctoken\u003e`. Account tokens reach every agent in the account. Deployment tokens are bound to one agent in one environment. The OpenAPI document adds a `role` of `read_only` or `full_access` (the default) and an `expires_at` that defaults to two years. Tokens can be suspended, reactivated and revoked. `POST /api_token` mints tokens with an existing token.", "pricing": "freemium", "pricingNotes": "Free Dev plan with 5,000 spans a month, up to 3 agents and 7-day retention, no card required, so an agent's owner can start without a contract. Startup is $49 a month ($499 a year) with 15,000 spans, then $0.0025 a span. Scaleup is $199 a month ($2,000 a year) with 100,000 spans, then $2.50 per 1,000 spans monthly or $2.00 on the annual plan. Enterprise, from 4 million spans a month, is by quote. A span is one LLM call, tool call, message turn or custom step. Seats are unlimited on every plan (https://prefactor.tech/pricing).", "priceSummary": "$49 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 3, "npmWeekly": 19, "pypiWeekly": 28, "asOf": "2026-10-08" }, "docsUrl": "https://docs.prefactor.ai", "llmsTxt": "https://docs.prefactor.ai/llms.txt", "openapi": "https://app.prefactorai.com/api/v1/openapi", "capabilities": [ "obs.traces", "obs.evals" ], "tags": [ "hosted", "freemium", "no-card", "llms-txt", "openapi", "python", "typescript", "closed-source", "enterprise", "status-page" ], "lastRelease": "2026-09-13", "graded": true, "anchor": { "graded": true, "score": 65.6, "grade": "B", "agentReady": false, "rank": 253, "ranked": true, "rankOf": 722, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 88, "maintenance": 82, "payments": 40, "reliability": 78, "schema": 80, "security": 56, "transparency": 42 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-10-08. The pricing page lists 'Hold, approve or block in real time' and PII detection on every plan, and the security page lists manual approval workflows and fine-grained RBAC. The vendor's own docs say crossing a risk threshold does not block or terminate a run, that Prefactor does not detect sensitive data, and that accounts have no role-based permissions. The OpenAPI and OpenRPC documents have no approval operation. Counted as a misleading claim (-3). The docs may lag the product, since the API has hosted judge operations they do not describe (https://prefactor.tech/pricing, https://prefactor.tech/security, https://docs.prefactor.ai/llms-full.txt)." ], "verdict": "The public OpenAPI document lists 157 operations, each accepting an idempotency key, and tokens can be read-only or bound to one agent deployment. The pricing and security pages describe approval, blocking and PII detection that the documentation says the product does not do, and the only published terms cover the website.", "bestFor": "A team that wants an auditable record of agent runs with declared data-risk labels, quality payloads from its own evaluations and a remote stop signal.", "strengths": [ "Public OpenAPI 3.0 document with 157 operations and an OpenRPC document with 159 WebSocket methods, both fetched without a login", "Every write accepts an `idempotency_key`, and `POST /bulk` can be retried whole because a reused key fails only its own item", "Tokens are scoped to the account or to one agent deployment, carry a `read_only` or `full_access` role and an expiry, and can be suspended or revoked", "A 429 response carries `Retry-After` and `retry_after_ms`, and both SDKs retry with exponential backoff and jitter", "The free Dev plan includes 5,000 spans a month with no card, and the overage price per span is published" ], "weaknesses": [ "The pricing page lists hold, approve or block and PII detection on every plan, while the docs say a risk threshold blocks nothing and that Prefactor does not detect sensitive data", "No approval operation exists in the OpenAPI or OpenRPC documents. The documented control is a cooperative terminate signal the agent's own code must obey", "The published terms of service cover the website. No service agreement, DPA, sub-processor list or SLA text was found", "Rate limits are described by scope with no numbers", "No security.txt and no certification held. The security page says SOC 2 Type II is in progress" ], "agentNotes": [ "Send requests to `https://app.prefactorai.com/api/v1` with `Authorization: Bearer \u003ctoken\u003e`. The API host is not on the `prefactor.tech` or `prefactor.ai` domains", "Ask for a deployment-scoped token, or an account token created with `role` set to `read_only`, since the default role is `full_access` with a two-year expiry", "Pass `redacted: true` on span list and detail queries, because the API returns marked sensitive values unless asked otherwise", "On 429 wait for `retry_after_ms`. Limits use one-minute windows and the SDKs' default retries ignore the server's hint", "Treat terminate as a request. Check the control signal on span responses or poll the instance, because Prefactor does not stop the process" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 65.6 } ], "editorialScores": { "ergonomics": 88, "maintenance": 82, "payments": 40, "reliability": 78, "schema": 80, "security": 56, "transparency": 34 }, "provenanceScore": 50 }, "connect": { "install": "npm install @prefactor/core", "http": "curl https://app.prefactorai.com/api/v1/agent \\\n -H \"Authorization: Bearer $PREFACTOR_API_TOKEN\"" }, "letme": { "capability": "https://letme.dev/obs.traces", "tool": "https://letme.dev/prefactor" }, "area": "developer", "unitPrices": [ { "item": "Startup plan", "unit": "month", "usd": 49, "note": "15,000 spans included, 3-month retention" }, { "item": "Scaleup plan", "unit": "month", "usd": 199, "note": "100,000 spans included, 12-month retention" }, { "item": "Span beyond the Startup allowance", "unit": "record", "usd": 0.0025 }, { "item": "Span beyond the Scaleup allowance", "unit": "record", "usd": 0.0025, "note": "$2.50 per 1,000 on monthly billing, $2.00 on annual" } ], "provenance": { "legalEntity": "Prefactor Pty Ltd", "domain": "prefactor.tech", "domainRegistered": "2024-10-16", "endpointOnVendorDomain": false, "terms": "", "privacy": "https://prefactor.tech/privacy-policy", "statusPage": "https://status.prefactor.ai", "changelog": "https://prefactor.tech/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "prefactor.tech/llms.txt names Prefactor Pty Ltd, founded 2024, headquartered in Australia. The legal documents name the same entity and New South Wales law.", "`terms` is left out. The only published terms (last updated 17 March 2026) govern use of the website at prefactor.tech and are a generated website template. No service agreement, API terms or DPA was found on the site or in its sitemap.", "The privacy policy and terms pages are drawn by script from GetTerms. We read them from the feed the pages load (gettermscdn.com) and could render only the regional sections of the privacy policy, not its main body.", "The API answers at app.prefactorai.com, a third domain of the vendor's registered on 18 December 2025. The site is on prefactor.tech and the docs on docs.prefactor.ai.", "RDAP gives prefactor.tech a registration date of 16 October 2024 and an expiry of 16 October 2026, eight days after this check.", "prefactor.tech, app.prefactorai.com and docs.prefactor.ai each return 404 for /.well-known/security.txt. The security page asks for reports by email and promises an acknowledgement within 24 hours.", "status.prefactor.ai is an UptimeRobot page. We found no link to it on the site or docs pages we read." ], "score": 50 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prefactor.json", "live": { "slug": "prefactor", "probe": { "target": "https://app.prefactorai.com/api/v1", "method": "get", "lastAt": "2026-10-08T21:12:19.160085406Z", "lastOk": true, "lastStatus": 404, "lastMs": 388, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 353, "p95ms24h": 431, "samples24h": 21, "samples30d": 21, "days": [ { "date": "2026-10-08", "probes": 21, "ok": 21 } ] }, "vendorStatus": { "page": "https://status.prefactor.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:39:04.756104641Z" }, "updatedAt": "2026-10-08T21:12:19.160085406Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Laminar (LMNR AI)", "b": "Prefactor Pty Ltd", "name": "Vendor" }, { "a": "https://api.lmnr.ai/v1", "b": "https://app.prefactorai.com/api/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary hosted service. The TypeScript and Python SDKs and the CLI are MIT", "name": "Licence" }, { "a": "3", "b": "none", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-23", "b": "2026-09-13", "name": "Last release" }, { "a": "2026-08-11", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-11", "b": "couldn't be read", "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": "3 stars, 19 npm/wk, 28 PyPI/wk", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Prefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust.", "question": "Which is better for AI agents, Laminar API + MCP or Prefactor?" }, { "answer": "Both need an API key.", "question": "Do Laminar API + MCP and Prefactor need an API key?" }, { "answer": "Yes. Laminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1 and Prefactor at https://app.prefactorai.com/api/v1.", "question": "Can an agent call Laminar API + MCP and Prefactor without installing anything?" }, { "answer": "Laminar API + MCP is open source (Apache-2.0). No open-source release is listed for Prefactor.", "question": "Are Laminar API + MCP and Prefactor open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 88 against 80", "Transparency \u0026 trust, 62 against 42" ], "also": [ "Open source" ], "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, 78 against 50", "Agent ergonomics, 88 against 80", "Security \u0026 auth, 56 against 45", "Payments \u0026 pricing, 40 against 30" ], "also": [ "Free to start without a card" ], "goodFor": "A team that wants an auditable record of agent runs with declared data-risk labels, quality payloads from its own evaluations and a remote stop signal.", "slug": "prefactor", "watchFor": "The pricing page lists hold, approve or block and PII detection on every plan, while the docs say a risk threshold blocks nothing and that Prefactor does not detect sensitive data" } ], "job": { "capability": "obs.traces", "name": "Obs traces" }, "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-prefactor.json", "title": "Arize Phoenix vs Prefactor", "url": "https://www.anchorterminal.com/compare/arize-phoenix-vs-prefactor" }, { "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-prefactor.json", "title": "Baserun vs Prefactor", "url": "https://www.anchorterminal.com/compare/baserun-vs-prefactor" }, { "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-prefactor.json", "title": "Braintrust API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/braintrust-vs-prefactor" }, { "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-prefactor.json", "title": "Galileo API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/galileo-vs-prefactor" }, { "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-prefactor.json", "title": "Helicone AI Gateway + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/helicone-vs-prefactor" }, { "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-prefactor.json", "title": "HoneyHive vs Prefactor", "url": "https://www.anchorterminal.com/compare/honeyhive-vs-prefactor" }, { "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-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/langfuse-vs-prefactor.json", "title": "Langfuse API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/langfuse-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/langsmith-vs-prefactor.json", "title": "LangSmith API + MCP vs Prefactor", "url": "https://www.anchorterminal.com/compare/langsmith-vs-prefactor" }, { "json": "https://www.anchorterminal.com/compare/prefactor-vs-respan.json", "title": "Prefactor vs Respan API + MCP", "url": "https://www.anchorterminal.com/compare/prefactor-vs-respan" } ], "scores": [ { "by": 28, "edge": "prefactor", "key": "reliability", "laminar": 50, "name": "Reliability", "prefactor": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "laminar", "key": "schema", "laminar": 88, "name": "Schema \u0026 documentation", "prefactor": 80, "weight": 13 }, { "by": 8, "edge": "prefactor", "key": "ergonomics", "laminar": 80, "name": "Agent ergonomics", "prefactor": 88, "weight": 13 }, { "by": 11, "edge": "prefactor", "key": "security", "laminar": 45, "name": "Security \u0026 auth", "prefactor": 56, "weight": 14 }, { "by": 10, "edge": "prefactor", "key": "payments", "laminar": 30, "name": "Payments \u0026 pricing", "prefactor": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "laminar", "key": "maintenance", "laminar": 83, "name": "Maintenance \u0026 community", "prefactor": 82, "weight": 7 }, { "by": 20, "edge": "laminar", "key": "transparency", "laminar": 62, "name": "Transparency \u0026 trust", "prefactor": 42, "weight": 7 } ], "summary": "Prefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust. Both do obs traces.", "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.", "prefactor": "The public OpenAPI document lists 157 operations, each accepting an idempotency key, and tokens can be read-only or bound to one agent deployment. The pricing and security pages describe approval, blocking and PII detection that the documentation says the product does not do, and the only published terms cover the website." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/laminar-vs-prefactor", "json": "https://www.anchorterminal.com/compare/laminar-vs-prefactor.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/laminar-vs-prefactor.md", "slim": "https://www.anchorterminal.com/compare/laminar-vs-prefactor.min.md" }, "markdown": "Prefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust. Both do obs traces.\n\n- Laminar API + MCP: grade C, 56.6/100, rank #488 of 722. Markdown https://www.anchorterminal.com/tools/laminar.md · JSON https://www.anchorterminal.com/api/v1/tools/laminar.json\n- Prefactor: grade B, 65.6/100, rank #253 of 722. Markdown https://www.anchorterminal.com/tools/prefactor.md · JSON https://www.anchorterminal.com/api/v1/tools/prefactor.json\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 80\n- Transparency \u0026 trust, 62 against 42\n\nAlso in its favour:\n- Open source\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### Prefactor (B)\n\nGood for: A team that wants an auditable record of agent runs with declared data-risk labels, quality payloads from its own evaluations and a remote stop signal.\n\nAhead on:\n- Reliability, 78 against 50\n- Agent ergonomics, 88 against 80\n- Security \u0026 auth, 56 against 45\n- Payments \u0026 pricing, 40 against 30\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The pricing page lists hold, approve or block and PII detection on every plan, while the docs say a risk threshold blocks nothing and that Prefactor does not detect sensitive data\n\n\n## Score by category\n\n| Category | Weight | Laminar API + MCP | Prefactor | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 78 | Prefactor +28 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 80 | Laminar API + MCP +8 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 88 | Prefactor +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 56 | Prefactor +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Prefactor +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 82 | Laminar API + MCP +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 62 | 42 | Laminar API + MCP +20 |\n| Negative events | ≤15 | -5 | -3 | |\n| **Total** | | **56.6 · C** | **65.6 · B** | |\n\n## Facts side by side\n\n| Fact | Laminar API + MCP | Prefactor |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Laminar (LMNR AI) | Prefactor Pty Ltd |\n| Hosted endpoint | `https://api.lmnr.ai/v1` | `https://app.prefactorai.com/api/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary hosted service. The TypeScript and Python SDKs and the CLI are MIT |\n| Tools exposed | 3 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-23 | 2026-09-13 |\n| Terms last updated | 2026-08-11 | no document linked |\n| Privacy policy last updated | 2026-08-11 | couldn't be read |\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 | 3 stars, 19 npm/wk, 28 PyPI/wk |\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**Prefactor.** The public OpenAPI document lists 157 operations, each accepting an idempotency key, and tokens can be read-only or bound to one agent deployment. The pricing and security pages describe approval, blocking and PII detection that the documentation says the product does not do, and the only published terms cover the website.\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### Prefactor\n\n1. Send requests to `https://app.prefactorai.com/api/v1` with `Authorization: Bearer \u003ctoken\u003e`. The API host is not on the `prefactor.tech` or `prefactor.ai` domains\n2. Ask for a deployment-scoped token, or an account token created with `role` set to `read_only`, since the default role is `full_access` with a two-year expiry\n3. Pass `redacted: true` on span list and detail queries, because the API returns marked sensitive values unless asked otherwise\n4. On 429 wait for `retry_after_ms`. Limits use one-minute windows and the SDKs' default retries ignore the server's hint\n5. Treat terminate as a request. Check the control signal on span responses or poll the instance, because Prefactor does not stop the process\n\n## Questions\n\n### Which is better for AI agents, Laminar API + MCP or Prefactor?\n\nPrefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust.\n\n### Do Laminar API + MCP and Prefactor need an API key?\n\nBoth need an API key.\n\n### Can an agent call Laminar API + MCP and Prefactor without installing anything?\n\nYes. Laminar API + MCP has a hosted endpoint at https://api.lmnr.ai/v1 and Prefactor at https://app.prefactorai.com/api/v1.\n\n### Are Laminar API + MCP and Prefactor open source?\n\nLaminar API + MCP is open source (Apache-2.0). No open-source release is listed for Prefactor.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/laminar-vs-prefactor.json, and with the fewest tokens: https://www.anchorterminal.com/compare/laminar-vs-prefactor.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"laminar\", \"b\": \"prefactor\"}`. From a terminal: `anchor compare laminar prefactor`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/laminar.json and https://www.anchorterminal.com/api/v1/tools/prefactor.json\n\n## Other comparisons with Laminar API + MCP or Prefactor\n\n- [Arize Phoenix vs Laminar API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-laminar.md)\n- [Arize Phoenix vs Prefactor](https://www.anchorterminal.com/compare/arize-phoenix-vs-prefactor.md)\n- [Baserun vs Laminar API + MCP](https://www.anchorterminal.com/compare/baserun-vs-laminar.md)\n- [Baserun vs Prefactor](https://www.anchorterminal.com/compare/baserun-vs-prefactor.md)\n- [Braintrust API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-laminar.md)\n- [Braintrust API + MCP vs Prefactor](https://www.anchorterminal.com/compare/braintrust-vs-prefactor.md)\n- [Galileo API + MCP vs Laminar API + MCP](https://www.anchorterminal.com/compare/galileo-vs-laminar.md)\n- [Galileo API + MCP vs Prefactor](https://www.anchorterminal.com/compare/galileo-vs-prefactor.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 Prefactor](https://www.anchorterminal.com/compare/helicone-vs-prefactor.md)\n- [HoneyHive vs Laminar API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-laminar.md)\n- [HoneyHive vs Prefactor](https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.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 Respan API + MCP](https://www.anchorterminal.com/compare/laminar-vs-respan.md)\n- [Langfuse API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langfuse-vs-prefactor.md)\n- [LangSmith API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langsmith-vs-prefactor.md)\n- [Prefactor vs Respan API + MCP](https://www.anchorterminal.com/compare/prefactor-vs-respan.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "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 Prefactor", "url": "" } ], "description": "Prefactor scores 65.6 (B) on agent readiness against Laminar API + MCP's 56.6 (C), and leads in 4 of 7 scored categories. Laminar API + MCP leads on schema \u0026 documentation and transparency \u0026 trust. Both do obs traces. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Laminar API + MCP C 56.6", "Prefactor B 65.6", "scores" ], "h1": "Laminar API + MCP vs Prefactor", "image": "https://www.anchorterminal.com/assets/og/compare-laminar-vs-prefactor.png", "path": "/compare/laminar-vs-prefactor", "published": "2026-10-01", "section": "tools", "title": "Laminar API + MCP vs Prefactor for AI agents, C 56.6 vs B 65.6", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/laminar-vs-prefactor" }, "tokens": { "markdown": 2300, "slim": 730 }, "version": 1 }