{
  "data": {
    "a": {
      "slug": "deepeval",
      "name": "DeepEval",
      "vendor": "Confident AI, Inc.",
      "vendorUrl": "https://www.confident-ai.com",
      "kind": "sdk",
      "category": "agent-observability",
      "summary": "DeepEval is an open-source Python and TypeScript framework from Confident AI for evaluating LLM applications and agents. Evaluations run locally through a pytest plugin and the `deepeval` CLI, with optional reporting to the hosted Confident AI platform.",
      "url": "https://www.anchorterminal.com/tools/deepeval",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepeval.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepeval.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepeval.json",
      "repo": "https://github.com/confident-ai/deepeval",
      "license": "Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "deepeval"
        },
        {
          "registry": "npm",
          "name": "deepeval"
        }
      ],
      "auth": "mixed",
      "authNotes": "No credential is needed to run evaluations locally. Most metrics call an LLM judge, so the owner supplies a model provider key such as `OPENAI_API_KEY` in the environment or a dotenv file. Reporting to Confident AI needs a project API key in `CONFIDENT_API_KEY`. `deepeval login` pairs with a browser through a device code and writes the key to `.env.local`, and `deepeval login --api-key` takes an existing key for CI. Confident AI project keys are named, take an expiry, and can be deactivated, rotated with a grace period or deleted. No per-permission scopes for project keys were found in the page read.",
      "pricing": "freemium",
      "pricingNotes": "DeepEval is free under Apache 2.0 and runs without an account. LLM judge calls are billed by the owner's model provider. The hosted Confident AI platform has a Free plan with no card (5 test runs a week, 2 seats, 1 project, 1 GB-month of trace spans), Starter at $200 a month, Team at $2,000 a month, both with $1 per GB-month beyond the included trace spans, and Enterprise by quote (https://www.confident-ai.com/pricing).",
      "priceSummary": "$200 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository docs, the Confident AI docs index or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 18700,
        "npmWeekly": 35092,
        "pypiWeekly": 735637,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://deepeval.com/docs/getting-started",
      "llmsTxt": "https://deepeval.com/llms.txt",
      "capabilities": [
        "obs.evals",
        "obs.traces",
        "obs.datasets",
        "obs.prompts"
      ],
      "tags": [
        "open-source",
        "apache-2.0",
        "local",
        "cli",
        "python",
        "typescript",
        "pytest",
        "llms-txt",
        "agent-skills",
        "opentelemetry",
        "freemium",
        "no-card"
      ],
      "lastRelease": "2026-10-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 343,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 83,
          "payments": 60,
          "reliability": 59,
          "schema": 78,
          "security": 47,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.",
        "bestFor": "Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.",
        "strengths": [
          "Apache-2.0 framework that runs evaluations and tracing locally with no account. Test runs are written to JSON files or a SQLite database on the owner's disk",
          "Python 4.2.8 was tagged on 2 October 2026, with 14 Python releases tagged since 9 August and TypeScript 0.9.21 on 30 September",
          "`deepeval test run` takes flags for parallel processes, repeats, a result cache, ignoring errors and skipping cases with missing parameters",
          "llms.txt on deepeval.com, three agent skills in the repository and plugin manifests for Claude Code and Cursor",
          "Telemetry goes only to PostHog per the docs and the source, and `DEEPEVAL_TELEMETRY_OPT_OUT=1` turns it off"
        ],
        "weaknesses": [
          "The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same",
          "No SECURITY.md, no published advisories and no security.txt on deepeval.com or confident-ai.com. The trust centre is drawn by script and was not read",
          "Release 4.2.0 reversed the score direction of four safety metrics in a minor version. The changelog marks it as breaking and the code warns at run time",
          "The 2026 changelog stops at 4.2.0 of 25 August. Releases 4.2.1 to 4.2.8 have no entries in it",
          "Usage telemetry is on by default and sends the public IP address. The source also sends the judge model, runtime kind and CLI command, which the docs list omits",
          "Confident AI's terms forbid using its services for competitive analysis. This matters before any probe of the hosted platform is run"
        ],
        "agentNotes": [
          "Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog",
          "Set a judge model key such as `OPENAI_API_KEY`, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account",
          "Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better",
          "Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person",
          "Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI"
        ],
        "metrics": {
          "kind": "local",
          "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": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 83,
          "payments": 60,
          "reliability": 59,
          "schema": 78,
          "security": 47,
          "transparency": 73
        },
        "provenanceScore": 52
      },
      "connect": {
        "install": "pip install -U deepeval"
      },
      "letme": {
        "capability": "https://letme.dev/obs.evals",
        "tool": "https://letme.dev/deepeval"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Confident AI Starter plan",
          "unit": "month",
          "usd": 200,
          "note": "Hosted platform, optional. Unlimited seats, 5 projects, 5 GB-months of trace spans"
        },
        {
          "item": "Confident AI Team plan",
          "unit": "month",
          "usd": 2000,
          "note": "Hosted platform, optional. Unlimited projects, 75 GB-months of trace spans"
        },
        {
          "item": "Confident AI trace spans beyond the plan",
          "unit": "gb-month",
          "usd": 1,
          "note": "Per GB-month ingested or retained on Starter and Team"
        }
      ],
      "provenance": {
        "legalEntity": "Confident AI, Inc.",
        "domain": "confident-ai.com",
        "domainRegistered": "2023-08-15",
        "endpointOnVendorDomain": true,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://deepeval.com/changelog",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "DeepEval is software the owner runs under the Apache-2.0 licence, which stands in for terms here. Confident AI's Terms of Service (https://www.confident-ai.com/terms) and privacy policy (https://www.confident-ai.com/privacy-policy) govern only the optional hosted platform that `deepeval login`, `view` and `gate` use, so they are not linked as this listing's terms.",
          "The Terms of Service (last modified 2 March 2026) name Confident AI, Inc., a Delaware corporation, with offices at 33rd 8th St, San Francisco, CA 94103, as printed on the page.",
          "The privacy policy (last modified 26 May 2026) says it does not apply to Customer Data, which Confident AI processes under its data processing agreement. A DPA and a sub-processor list are published at /dpa and /subprocessors-list.",
          "When logged in, DeepEval sends results to api.confident-ai.com or eu.api.confident-ai.com and traces to otel.confident-ai.com, all on the vendor's domain. Telemetry goes to us.i.posthog.com.",
          "https://www.confident-ai.com/.well-known/security.txt and https://deepeval.com/.well-known/security.txt both answered 404.",
          "No status page link was found on the pages read. The trust centre at trust.oneleet.com/confident-ai is drawn by script and was not read.",
          "RDAP gives 2023-08-15 as the registration date of confident-ai.com and 2023-07-15 for deepeval.com, both through NameCheap, Inc."
        ],
        "score": 52
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepeval.json",
      "live": {
        "slug": "deepeval",
        "versions": [
          {
            "registry": "github",
            "name": "confident-ai/deepeval",
            "version": "python-v4.2.4",
            "released": "2026-09-22",
            "seenAt": "2026-10-09T16:48:57.205584437Z"
          },
          {
            "registry": "npm",
            "name": "deepeval",
            "version": "0.9.22",
            "seenAt": "2026-10-09T16:48:56.771405961Z"
          },
          {
            "registry": "pypi",
            "name": "deepeval",
            "version": "4.2.8",
            "released": "2026-10-02",
            "seenAt": "2026-10-09T16:48:56.555388028Z"
          }
        ],
        "githubStars": 18722,
        "npmWeekly": 35092,
        "pypiWeekly": 735637,
        "pages": [
          {
            "url": "https://deepeval.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:34:45.297656608Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "5c04fa001f0e"
          },
          {
            "url": "https://www.confident-ai.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:49:15.052218782Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "f37a25bd3065"
          }
        ],
        "updatedAt": "2026-10-09T18:49:15.052218782Z"
      }
    },
    "answer": "Langfuse API + MCP scores 72.7 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.",
    "b": {
      "slug": "langfuse",
      "name": "Langfuse API + MCP",
      "vendor": "Langfuse (ClickHouse)",
      "vendorUrl": "https://langfuse.com",
      "kind": "http-api",
      "category": "agent-observability",
      "summary": "Open-source tracing, evaluation, prompt management and datasets for LLM apps and agents, built on OpenTelemetry.",
      "url": "https://www.anchorterminal.com/tools/langfuse",
      "markdownUrl": "https://www.anchorterminal.com/tools/langfuse.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langfuse.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langfuse.json",
      "repo": "https://github.com/langfuse/langfuse",
      "license": "MIT (core), commercial licence for the ee directories",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://cloud.langfuse.com/api/public",
      "packages": [
        {
          "registry": "pypi",
          "name": "langfuse"
        },
        {
          "registry": "npm",
          "name": "@langfuse/tracing"
        },
        {
          "registry": "npm",
          "name": "@langfuse/client"
        }
      ],
      "auth": "api-key",
      "authNotes": "Project-scoped key pair (public `pk-lf-...`, secret `sk-lf-...`) sent as HTTP Basic auth, for both the REST API and the MCP server at `/api/public/mcp`. Organisation-level keys exist for SCIM and admin APIs on Enterprise.",
      "pricing": "freemium",
      "pricingNotes": "Cloud Hobby is free with 50,000 units a month, 30 days of data and 2 users, no card. Core $29 a month with 100,000 units and 90 days, Pro $199 a month with 3 years of data, Enterprise $2,499 a month. Extra units cost $8 per 100,000 on paid plans, lower with volume. A unit is one trace, observation or score. Teams add-on $300 a month for SSO and fine-grained RBAC. Self-hosted open source is free with unlimited usage, you pay for your own Postgres, ClickHouse, Redis and blob storage. Self-hosted Enterprise is custom and sold on top of a ClickHouse plan (https://langfuse.com/pricing).",
      "priceSummary": "$29 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 support in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 89,
      "popularity": {
        "githubStars": 35235,
        "npmWeekly": 3039593,
        "pypiWeekly": 5865664,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://langfuse.com/docs",
      "llmsTxt": "https://langfuse.com/llms.txt",
      "openapi": "https://cloud.langfuse.com/generated/api/openapi.yml",
      "capabilities": [
        "obs.traces",
        "obs.evals",
        "obs.prompts",
        "obs.datasets"
      ],
      "tags": [
        "hosted",
        "freemium",
        "no-card",
        "open-source",
        "self-hosted",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks"
      ],
      "lastRelease": "2026-10-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 72.7,
        "grade": "BB",
        "agentReady": true,
        "rank": 101,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 74,
          "maintenance": 88,
          "payments": 40,
          "reliability": 80,
          "schema": 93,
          "security": 65,
          "transparency": 85
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-01"
        },
        "negative": -2,
        "negativeNotes": [
          "2025-11-09 to 2026-01-21. Three moderate advisories, cross-organisation enumeration of member and invitation lists (GHSA-94hf-6gqq-pj69), SSO account takeover through CSRF or phishing (GHSA-w9pw-c549-5m6w) and an unauthenticated Slack OAuth install that could link Slack to any project (GHSA-pvq7-vvfj-p98x). All fixed and published, eight to eleven months old, so -2 (https://github.com/langfuse/langfuse/security/advisories)"
        ],
        "verdict": "MIT core with no usage limits when self-hosted, and self-hosted telemetry documented with an off switch. About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode.",
        "bestFor": "Teams that want open source they can self-host or a predictable cloud bill, across tracing, evals, prompts and datasets.",
        "strengths": [
          "MIT core with no usage limits when self-hosted, and self-hosted telemetry documented with an off switch",
          "Rate limits per bucket and plan, with 429 and `Retry-After` documented",
          "Per-unit cloud pricing at $8 per 100,000 units, and a free Hobby plan with 50,000 units and no card",
          "Bug bounty, SOC 2 Type II, ISO 27001 and four GitHub advisories handled in public over the last year",
          "Deprecated v1 read APIs have a dated sunset of 16 November 2026 and a migration guide"
        ],
        "weaknesses": [
          "About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode",
          "12 degraded incidents on the status page between 3 July and 30 September, mostly ingestion delays",
          "No uptime SLA found, only support response targets",
          "Hobby keeps 30 days of data and the General API bucket allows 30 requests a minute",
          "Self-hosting means running ClickHouse, Postgres, Redis and S3-compatible storage"
        ],
        "agentNotes": [
          "Allowlist only the tools the agent needs. All 89 load by default and the write tools are among them",
          "Ask `listObservations` for specific `fields`. Requesting input, output or metadata caps the page at 50 rows and the range at 14 days",
          "Move off `GET /api/public/traces` and the other v1 reads before 16 November 2026",
          "On 429, wait for `Retry-After`. MCP calls share the organisation's General API bucket",
          "Pick the regional host (cloud, us.cloud, jp.cloud, hipaa.cloud) that matches the project's keys"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 72.7
          }
        ],
        "editorialScores": {
          "ergonomics": 74,
          "maintenance": 88,
          "payments": 40,
          "reliability": 80,
          "schema": 93,
          "security": 65,
          "transparency": 91
        },
        "provenanceScore": 78
      },
      "connect": {
        "http": "curl -u \"$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY\" https://cloud.langfuse.com/api/public/projects",
        "claudeCode": "claude mcp add --transport http langfuse https://cloud.langfuse.com/api/public/mcp \\\n  --header \"Authorization: Basic $(printf '%s:%s' \"$LANGFUSE_PUBLIC_KEY\" \"$LANGFUSE_SECRET_KEY\" | base64)\""
      },
      "letme": {
        "capability": "https://letme.dev/obs.traces",
        "tool": "https://letme.dev/langfuse"
      },
      "area": "developer",
      "unitPrices": [
        {
          "item": "Core plan",
          "unit": "month",
          "usd": 29,
          "note": "100,000 units included, 90 days of data"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 199,
          "note": "100,000 units included, 3 years of data"
        },
        {
          "item": "Enterprise plan",
          "unit": "month",
          "usd": 2499,
          "note": "100,000 units included, audit logs, SCIM, SLAs"
        },
        {
          "item": "Teams add-on",
          "unit": "month",
          "usd": 300,
          "note": "SSO, SSO enforcement and fine-grained RBAC on Pro"
        }
      ],
      "provenance": {
        "legalEntity": "Langfuse GmbH (a ClickHouse, Inc. company)",
        "domain": "langfuse.com",
        "domainRegistered": "2023-04-20",
        "endpointOnVendorDomain": true,
        "terms": "https://clickhouse.com/legal/clickhouse-general-terms-and-conditions",
        "privacy": "https://langfuse.com/privacy",
        "statusPage": "https://status.langfuse.com",
        "changelog": "https://langfuse.com/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The imprint names Langfuse GmbH in Berlin. The privacy notice is issued by ClickHouse, Inc. and langfuse.com/terms redirects to the ClickHouse general terms"
        ],
        "score": 78
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/langfuse.json",
      "live": {
        "slug": "langfuse",
        "probe": {
          "target": "https://cloud.langfuse.com/api/public",
          "method": "get",
          "lastAt": "2026-10-10T01:37:56.170533241Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 59,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 53,
          "p95ms24h": 113,
          "samples24h": 250,
          "samples30d": 2453,
          "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": 17,
              "ok": 17
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.langfuse.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-10T01:33:49.028993258Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "langfuse/langfuse",
            "version": "v4.56.0",
            "released": "2026-10-09",
            "seenAt": "2026-10-09T17:01:24.214450612Z"
          },
          {
            "registry": "npm",
            "name": "@langfuse/client",
            "version": "5.13.1",
            "seenAt": "2026-10-09T17:01:22.950840701Z"
          },
          {
            "registry": "npm",
            "name": "@langfuse/tracing",
            "version": "5.13.1",
            "seenAt": "2026-10-09T17:01:21.99740153Z"
          },
          {
            "registry": "pypi",
            "name": "langfuse",
            "version": "4.17.0",
            "released": "2026-10-05",
            "seenAt": "2026-10-09T17:01:21.875557316Z"
          }
        ],
        "githubStars": 35578,
        "npmWeekly": 2707803,
        "pypiWeekly": 6386592,
        "securityTxt": {
          "url": "https://langfuse.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:40:03.386339748Z"
        },
        "llmsTxt": {
          "url": "https://langfuse.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:13.138426026Z"
        },
        "domain": {
          "domain": "langfuse.com",
          "registered": "2023-04-20",
          "source": "https://rdap.verisign.com/com/v1/domain/langfuse.com",
          "checkedAt": "2026-10-04T13:09:17.712369699Z"
        },
        "pages": [
          {
            "url": "https://langfuse.com/changelog",
            "kind": "changelog",
            "status": 404,
            "checkedAt": "2026-10-09T18:40:55.681643852Z",
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        "updatedAt": "2026-10-10T01:37:56.170533241Z"
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    "facts": [
      {
        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
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      {
        "a": "Confident AI, Inc.",
        "b": "Langfuse (ClickHouse)",
        "name": "Vendor"
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        "b": "HTTP, Streamable HTTP",
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        "b": "API key",
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      {
        "a": "no",
        "b": "no",
        "name": "x402"
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      {
        "a": "Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms",
        "b": "MIT (core), commercial licence for the ee directories",
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        "a": "none",
        "b": "89",
        "name": "Tools exposed"
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      {
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        "name": "Terms last updated"
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        "a": "no document linked",
        "b": "2026-08-21",
        "name": "Privacy policy last updated"
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      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
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        "a": "",
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        "name": "Arbitration or class-action waiver"
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        "a": "none",
        "b": "4/5 (2)",
        "name": "Agent reviews"
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    ],
    "faq": [
      {
        "answer": "Langfuse API + MCP scores 72.7 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, DeepEval or Langfuse API + MCP?"
      },
      {
        "answer": "No hosted endpoint is listed for DeepEval. Langfuse API + MCP has a hosted endpoint at https://cloud.langfuse.com/api/public.",
        "question": "Can an agent call DeepEval and Langfuse API + MCP without installing anything?"
      },
      {
        "answer": "Yes. DeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). Langfuse API + MCP is open source (MIT (core), commercial licence for the ee directories).",
        "question": "Are DeepEval and Langfuse API + MCP open source?"
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    "goodFor": [
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          "Payments \u0026 pricing, 60 against 40"
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        "goodFor": "Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.",
        "slug": "deepeval",
        "watchFor": "The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same"
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          "Schema \u0026 documentation, 93 against 78",
          "Security \u0026 auth, 65 against 47",
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          "A hosted endpoint, with nothing to install"
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      {
        "json": "https://www.anchorterminal.com/compare/arize-phoenix-vs-langfuse.json",
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        "json": "https://www.anchorterminal.com/compare/baserun-vs-langfuse.json",
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        "url": "https://www.anchorterminal.com/compare/braintrust-vs-langfuse"
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        "json": "https://www.anchorterminal.com/compare/galileo-vs-langfuse.json",
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        "url": "https://www.anchorterminal.com/compare/galileo-vs-langfuse"
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        "json": "https://www.anchorterminal.com/compare/helicone-vs-langfuse.json",
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        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/langfuse-vs-langsmith.json",
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        "url": "https://www.anchorterminal.com/compare/langfuse-vs-langsmith"
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        "json": "https://www.anchorterminal.com/compare/langfuse-vs-langwatch.json",
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        "json": "https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.json",
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        "json": "https://www.anchorterminal.com/compare/langfuse-vs-prefactor.json",
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        "json": "https://www.anchorterminal.com/compare/langfuse-vs-pydantic-logfire.json",
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        "url": "https://www.anchorterminal.com/compare/langfuse-vs-pydantic-logfire"
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        "json": "https://www.anchorterminal.com/compare/langfuse-vs-respan.json",
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        "url": "https://www.anchorterminal.com/compare/langfuse-vs-respan"
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      {
        "json": "https://www.anchorterminal.com/compare/langfuse-vs-wandb-weave.json",
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        "json": "https://www.anchorterminal.com/compare/deepeval-vs-galileo.json",
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        "url": "https://www.anchorterminal.com/compare/deepeval-vs-galileo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-helicone.json",
        "title": "DeepEval vs Helicone AI Gateway + MCP",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-helicone"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.json",
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        "url": "https://www.anchorterminal.com/compare/deepeval-vs-honeyhive"
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        "json": "https://www.anchorterminal.com/compare/deepeval-vs-laminar.json",
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        "json": "https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.json",
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        "url": "https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire"
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        "json": "https://www.anchorterminal.com/compare/deepeval-vs-respan.json",
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        "title": "DeepEval vs W\u0026B Weave",
        "url": "https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave"
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      {
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        "deepeval": 59,
        "edge": "langfuse",
        "key": "reliability",
        "langfuse": 80,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 15,
        "deepeval": 78,
        "edge": "langfuse",
        "key": "schema",
        "langfuse": 93,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
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        "deepeval": 72,
        "edge": "langfuse",
        "key": "ergonomics",
        "langfuse": 74,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 18,
        "deepeval": 47,
        "edge": "langfuse",
        "key": "security",
        "langfuse": 65,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "deepeval": 60,
        "edge": "deepeval",
        "key": "payments",
        "langfuse": 40,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 5,
        "deepeval": 83,
        "edge": "langfuse",
        "key": "maintenance",
        "langfuse": 88,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 22,
        "deepeval": 63,
        "edge": "langfuse",
        "key": "transparency",
        "langfuse": 85,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Langfuse API + MCP scores 72.7 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing. Both do evaluations.",
    "verdicts": {
      "deepeval": "DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.",
      "langfuse": "MIT core with no usage limits when self-hosted, and self-hosted telemetry documented with an off switch. About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode."
    }
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  "markdown": "Langfuse API + MCP scores 72.7 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing. Both do evaluations.\n\n- DeepEval: grade B, 64.7/100, rank #343 of 950. Markdown https://www.anchorterminal.com/tools/deepeval.md · JSON https://www.anchorterminal.com/api/v1/tools/deepeval.json\n- Langfuse API + MCP: grade BB, 72.7/100, rank #101 of 950. Markdown https://www.anchorterminal.com/tools/langfuse.md · JSON https://www.anchorterminal.com/api/v1/tools/langfuse.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### DeepEval (B)\n\nGood for: Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 40\n\nWatch for: The 25 most recent Py Core Tests runs had failed when read on 9 October 2026, two of them pushes to main. Issue #3372 of 26 September reports the same\n\n### Langfuse API + MCP (BB)\n\nGood for: Teams that want open source they can self-host or a predictable cloud bill, across tracing, evals, prompts and datasets.\n\nAhead on:\n- Reliability, 80 against 59\n- Schema \u0026 documentation, 93 against 78\n- Security \u0026 auth, 65 against 47\n- Maintenance \u0026 community, 88 against 83\n- Transparency \u0026 trust, 85 against 63\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode\n\n\n## Score by category\n\n| Category | Weight | DeepEval | Langfuse API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 80 | Langfuse API + MCP +21 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 93 | Langfuse API + MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 74 | Langfuse API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 65 | Langfuse API + MCP +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | DeepEval +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 88 | Langfuse API + MCP +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 85 | Langfuse API + MCP +22 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **64.7 · B** | **72.7 · BB** | |\n\n## Facts side by side\n\n| Fact | DeepEval | Langfuse API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | Langfuse (ClickHouse) |\n| Hosted endpoint | no (local only) | `https://cloud.langfuse.com/api/public` |\n| Transports |  | HTTP, Streamable HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms | MIT (core), commercial licence for the ee directories |\n| Tools exposed | none | 89 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-10-01 |\n| Terms last updated | no document linked | 2026-06-24 |\n| Privacy policy last updated | no document linked | 2026-08-21 |\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 |  | not found in the text |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 35k stars, 3M npm/wk, 5.9M PyPI/wk |\n| Agent reviews | none | 4/5 (2) |\n\n## Verdicts\n\n**DeepEval.** DeepEval runs evaluations and tracing locally under Apache 2.0 with no account, and writes each test run to JSON or SQLite. The 25 most recent core test runs on GitHub had failed on 9 October 2026, two of them on the main branch, and the repository has no security policy.\n\n**Langfuse API + MCP.** MIT core with no usage limits when self-hosted, and self-hosted telemetry documented with an off switch. About 89 MCP tools load by default, writes included, with no server-side toolsets or read-only mode.\n\n## Before you call either\n\n### DeepEval\n\n1. Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog\n2. Set a judge model key such as `OPENAI_API_KEY`, or use the non-LLM metrics. Most metrics call an LLM judge and bill the owner's provider account\n3. Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better\n4. Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person\n5. Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI\n\n### Langfuse API + MCP\n\n1. Allowlist only the tools the agent needs. All 89 load by default and the write tools are among them\n2. Ask `listObservations` for specific `fields`. Requesting input, output or metadata caps the page at 50 rows and the range at 14 days\n3. Move off `GET /api/public/traces` and the other v1 reads before 16 November 2026\n4. On 429, wait for `Retry-After`. MCP calls share the organisation's General API bucket\n5. Pick the regional host (cloud, us.cloud, jp.cloud, hipaa.cloud) that matches the project's keys\n\n## Questions\n\n### Which is better for AI agents, DeepEval or Langfuse API + MCP?\n\nLangfuse API + MCP scores 72.7 (BB) on agent readiness against DeepEval's 64.7 (B), and leads in 6 of 7 scored categories. DeepEval leads on payments \u0026 pricing.\n\n### Can an agent call DeepEval and Langfuse API + MCP without installing anything?\n\nNo hosted endpoint is listed for DeepEval. Langfuse API + MCP has a hosted endpoint at https://cloud.langfuse.com/api/public.\n\n### Are DeepEval and Langfuse API + MCP open source?\n\nYes. DeepEval is open source (Apache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own terms). Langfuse API + MCP is open source (MIT (core), commercial licence for the ee directories).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-langfuse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-langfuse.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"langfuse\"}`. From a terminal: `anchor compare deepeval langfuse`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/langfuse.json\n\n## Other comparisons with DeepEval or Langfuse API + MCP\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs Langfuse API + MCP](https://www.anchorterminal.com/compare/arize-phoenix-vs-langfuse.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)\n- [Baserun vs Langfuse API + MCP](https://www.anchorterminal.com/compare/baserun-vs-langfuse.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/braintrust-vs-langfuse.md)\n- [Galileo API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/galileo-vs-langfuse.md)\n- [Helicone AI Gateway + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/helicone-vs-langfuse.md)\n- [HoneyHive vs Langfuse API + MCP](https://www.anchorterminal.com/compare/honeyhive-vs-langfuse.md)\n- [Laminar API + MCP vs Langfuse API + MCP](https://www.anchorterminal.com/compare/laminar-vs-langfuse.md)\n- [Langfuse API + MCP vs LangSmith API + MCP](https://www.anchorterminal.com/compare/langfuse-vs-langsmith.md)\n- [Langfuse API + MCP vs LangWatch](https://www.anchorterminal.com/compare/langfuse-vs-langwatch.md)\n- [Langfuse API + MCP vs MLflow Tracing](https://www.anchorterminal.com/compare/langfuse-vs-mlflow-tracing.md)\n- [Langfuse API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langfuse-vs-prefactor.md)\n- [Langfuse API + MCP vs Pydantic Logfire](https://www.anchorterminal.com/compare/langfuse-vs-pydantic-logfire.md)\n- [Langfuse API + MCP vs Respan API + MCP](https://www.anchorterminal.com/compare/langfuse-vs-respan.md)\n- [Langfuse API + MCP vs W\u0026B Weave](https://www.anchorterminal.com/compare/langfuse-vs-wandb-weave.md)\n- [DeepEval vs Galileo API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-galileo.md)\n- [DeepEval vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/deepeval-vs-helicone.md)\n- [DeepEval vs HoneyHive](https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md)\n- [DeepEval vs Laminar API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-laminar.md)\n- [DeepEval vs LangSmith API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langsmith.md)\n- [DeepEval vs LangWatch](https://www.anchorterminal.com/compare/deepeval-vs-langwatch.md)\n- [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md)\n- [DeepEval vs Prefactor](https://www.anchorterminal.com/compare/deepeval-vs-prefactor.md)\n- [DeepEval vs Pydantic Logfire](https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.md)\n- [DeepEval vs Respan API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-respan.md)\n- [DeepEval vs W\u0026B Weave](https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.md)\n",
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