{
  "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": "Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments \u0026 pricing 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": 313,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 5,
        "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": "2026-10-10T01:38:03.383616766Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 137,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 192,
          "p95ms24h": 399,
          "samples24h": 250,
          "samples30d": 317,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 50,
              "ok": 50
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 17,
              "ok": 17
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prefactor.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-10T00:51:10.227567126Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prefactordev/typescript-sdk",
            "version": "v0.2.0",
            "released": "2026-07-28",
            "seenAt": "2026-10-09T17:14:27.181770013Z"
          },
          {
            "registry": "npm",
            "name": "@prefactor/cli",
            "version": "0.3.0",
            "seenAt": "2026-10-09T17:14:25.656971889Z"
          },
          {
            "registry": "npm",
            "name": "@prefactor/core",
            "version": "1.2.0",
            "seenAt": "2026-10-09T17:14:24.763385345Z"
          },
          {
            "registry": "pypi",
            "name": "prefactor-core",
            "version": "0.5.3",
            "released": "2026-08-13",
            "seenAt": "2026-10-09T17:14:26.993803903Z"
          }
        ],
        "githubStars": 3,
        "npmWeekly": 52,
        "pypiWeekly": 25,
        "securityTxt": {
          "url": "https://prefactor.tech/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:40:24.100006395Z"
        },
        "llmsTxt": {
          "url": "https://docs.prefactor.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:37.699188306Z"
        },
        "pages": [
          {
            "url": "https://prefactor.tech/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:43:44.469574179Z",
            "changedAt": "0001-01-01T00:00:00Z",
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        "updatedAt": "2026-10-10T01:38:03.383616766Z"
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    "facts": [
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        "a": "SDK + MCP",
        "b": "HTTP API",
        "name": "Kind"
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        "a": "Confident AI, Inc.",
        "b": "Prefactor Pty Ltd",
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        "a": "no (local only)",
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        "a": "19k stars, 35k npm/wk, 736k PyPI/wk",
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    "faq": [
      {
        "answer": "Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments \u0026 pricing and transparency \u0026 trust.",
        "question": "Which is better for AI agents, DeepEval or Prefactor?"
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      {
        "answer": "No hosted endpoint is listed for DeepEval. Prefactor has a hosted endpoint at https://app.prefactorai.com/api/v1.",
        "question": "Can an agent call DeepEval and Prefactor without installing anything?"
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        "answer": "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). No open-source release is listed for Prefactor.",
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    "scores": [
      {
        "by": 19,
        "deepeval": 59,
        "edge": "prefactor",
        "key": "reliability",
        "name": "Reliability",
        "prefactor": 78,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 2,
        "deepeval": 78,
        "edge": "prefactor",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "prefactor": 80,
        "weight": 13
      },
      {
        "by": 16,
        "deepeval": 72,
        "edge": "prefactor",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "prefactor": 88,
        "weight": 13
      },
      {
        "by": 9,
        "deepeval": 47,
        "edge": "prefactor",
        "key": "security",
        "name": "Security \u0026 auth",
        "prefactor": 56,
        "weight": 14
      },
      {
        "by": 20,
        "deepeval": 60,
        "edge": "deepeval",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "prefactor": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "deepeval": 83,
        "edge": "deepeval",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "prefactor": 82,
        "weight": 7
      },
      {
        "by": 21,
        "deepeval": 63,
        "edge": "deepeval",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "prefactor": 42,
        "weight": 7
      }
    ],
    "summary": "Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments \u0026 pricing and transparency \u0026 trust. 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.",
      "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."
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  "markdown": "Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments \u0026 pricing and transparency \u0026 trust. 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- Prefactor: grade B, 65.6/100, rank #313 of 950. Markdown https://www.anchorterminal.com/tools/prefactor.md · JSON https://www.anchorterminal.com/api/v1/tools/prefactor.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- Transparency \u0026 trust, 63 against 42\n\nAlso in its favour:\n- Open source\n- No incidents deducted, where Prefactor loses 3 points for them\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### 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 59\n- Agent ergonomics, 88 against 72\n- Security \u0026 auth, 56 against 47\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\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 | DeepEval | Prefactor | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 59 | 78 | Prefactor +19 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 80 | Prefactor +2 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 88 | Prefactor +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 56 | Prefactor +9 |\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 | 82 | DeepEval +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 42 | DeepEval +21 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **64.7 · B** | **65.6 · B** | |\n\n## Facts side by side\n\n| Fact | DeepEval | Prefactor |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | Confident AI, Inc. | Prefactor Pty Ltd |\n| Hosted endpoint | no (local only) | `https://app.prefactorai.com/api/v1` |\n| Transports |  | 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 | Proprietary hosted service. The TypeScript and Python SDKs and the CLI are MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-13 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 3 stars, 19 npm/wk, 28 PyPI/wk |\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**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### 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### 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, DeepEval or Prefactor?\n\nPrefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments \u0026 pricing and transparency \u0026 trust.\n\n### Can an agent call DeepEval and Prefactor without installing anything?\n\nNo hosted endpoint is listed for DeepEval. Prefactor has a hosted endpoint at https://app.prefactorai.com/api/v1.\n\n### Are DeepEval and Prefactor open source?\n\nDeepEval 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). No open-source release is listed for Prefactor.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepeval-vs-prefactor.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepeval-vs-prefactor.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepeval\", \"b\": \"prefactor\"}`. From a terminal: `anchor compare deepeval prefactor`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/prefactor.json\n\n## Other comparisons with DeepEval or Prefactor\n\n- [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md)\n- [Arize Phoenix vs Prefactor](https://www.anchorterminal.com/compare/arize-phoenix-vs-prefactor.md)\n- [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md)\n- [Baserun vs Prefactor](https://www.anchorterminal.com/compare/baserun-vs-prefactor.md)\n- [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md)\n- [Braintrust API + MCP vs Prefactor](https://www.anchorterminal.com/compare/braintrust-vs-prefactor.md)\n- [Galileo API + MCP vs Prefactor](https://www.anchorterminal.com/compare/galileo-vs-prefactor.md)\n- [Helicone AI Gateway + MCP vs Prefactor](https://www.anchorterminal.com/compare/helicone-vs-prefactor.md)\n- [HoneyHive vs Prefactor](https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.md)\n- [Laminar API + MCP vs Prefactor](https://www.anchorterminal.com/compare/laminar-vs-prefactor.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- [LangWatch vs Prefactor](https://www.anchorterminal.com/compare/langwatch-vs-prefactor.md)\n- [MLflow Tracing vs Prefactor](https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.md)\n- [Prefactor vs Pydantic Logfire](https://www.anchorterminal.com/compare/prefactor-vs-pydantic-logfire.md)\n- [Prefactor vs Respan API + MCP](https://www.anchorterminal.com/compare/prefactor-vs-respan.md)\n- [Prefactor vs W\u0026B Weave](https://www.anchorterminal.com/compare/prefactor-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 Langfuse API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langfuse.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 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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