# DeepEval vs Prefactor > Prefactor and DeepEval score within a point of each other for evaluations, 65.6 and 64.7 out of 100. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/deepeval-vs-prefactor - Markdown: https://www.anchorterminal.com/compare/deepeval-vs-prefactor.md (~2,650 tokens) - Slim: https://www.anchorterminal.com/compare/deepeval-vs-prefactor.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/deepeval-vs-prefactor.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments & pricing and transparency & trust. Both do evaluations. - 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 - 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 - Best agent tracing, monitoring and evaluation tools: https://www.anchorterminal.com/best/agent-observability/index.md - All 120 evals comparisons: https://www.anchorterminal.com/compare/agent-observability/index.md ## Which one, for what ### DeepEval (B) Good for: Teams that want evaluations in pytest or a CLI on their own machines, with agent, RAG, multi-turn and MCP metrics. Ahead on: - Payments & pricing, 60 against 40 - Transparency & trust, 63 against 42 Also in its favour: - Open source - No incidents deducted, where Prefactor loses 3 points for them Watch 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 ### Prefactor (B) Good 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. Ahead on: - Reliability, 78 against 59 - Agent ergonomics, 88 against 72 - Security & auth, 56 against 47 Also in its favour: - A hosted endpoint, with nothing to install Watch 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 ## Score by category | Category | Weight | DeepEval | Prefactor | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 59 | 78 | Prefactor +19 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 78 | 80 | Prefactor +2 | | Agent ergonomics | 13% (16.2 this run) | 72 | 88 | Prefactor +16 | | Security & auth | 14% (17.5 this run) | 47 | 56 | Prefactor +9 | | Payments & pricing | 10% (12.5 this run) | 60 | 40 | DeepEval +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 83 | 82 | DeepEval +1 | | Transparency & trust | 7% (8.8 this run) | 63 | 42 | DeepEval +21 | | Negative events | ≤15 | 0 | -3 | | | **Total** | | **64.7 · B** | **65.6 · B** | | ## Facts side by side | Fact | DeepEval | Prefactor | | --- | --- | --- | | Kind | SDK + MCP | HTTP API | | Vendor | Confident AI, Inc. | Prefactor Pty Ltd | | Hosted endpoint | no (local only) | `https://app.prefactorai.com/api/v1` | | Transports | | HTTP | | Auth | OAuth or key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | 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 | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-02 | 2026-09-13 | | Terms last updated | no document linked | no document linked | | Privacy policy last updated | no document linked | couldn't be read | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Popularity | 19k stars, 35k npm/wk, 736k PyPI/wk | 3 stars, 19 npm/wk, 28 PyPI/wk | ## 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. ## Before you call either ### DeepEval 1. Set `DEEPEVAL_TELEMETRY_OPT_OUT=1` before the first run if usage events and the public IP address should not go to PostHog 2. 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 3. Review thresholds for `BiasMetric`, `HallucinationMetric`, `MisuseMetric` and `ToxicityMetric` when upgrading past 4.2.0. Higher scores now mean better 4. Read results from `.deepeval/.latest_run_full.json` or a `results_folder`. `deepeval inspect` opens a terminal interface meant for a person 5. Pass an existing key with `deepeval login --api-key` in CI. Plain `deepeval login` opens a browser, and results then upload to Confident AI ### Prefactor 1. Send requests to `https://app.prefactorai.com/api/v1` with `Authorization: Bearer `. The API host is not on the `prefactor.tech` or `prefactor.ai` domains 2. 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 3. Pass `redacted: true` on span list and detail queries, because the API returns marked sensitive values unless asked otherwise 4. On 429 wait for `retry_after_ms`. Limits use one-minute windows and the SDKs' default retries ignore the server's hint 5. Treat terminate as a request. Check the control signal on span responses or poll the instance, because Prefactor does not stop the process ## Questions ### Which is better for AI agents, DeepEval or Prefactor? Prefactor and DeepEval score within a point of each other on agent readiness, 65.6 (B) and 64.7 (B). DeepEval leads on payments & pricing and transparency & trust. ### Can an agent call DeepEval and Prefactor without installing anything? No hosted endpoint is listed for DeepEval. Prefactor has a hosted endpoint at https://app.prefactorai.com/api/v1. ### Are DeepEval and Prefactor open source? 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. ## For agents - 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 - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepeval", "b": "prefactor"}`. From a terminal: `anchor compare deepeval prefactor` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepeval.json and https://www.anchorterminal.com/api/v1/tools/prefactor.json ## Other comparisons with DeepEval or Prefactor - [Arize Phoenix vs DeepEval](https://www.anchorterminal.com/compare/arize-phoenix-vs-deepeval.md) - [Arize Phoenix vs Prefactor](https://www.anchorterminal.com/compare/arize-phoenix-vs-prefactor.md) - [Baserun vs DeepEval](https://www.anchorterminal.com/compare/baserun-vs-deepeval.md) - [Baserun vs Prefactor](https://www.anchorterminal.com/compare/baserun-vs-prefactor.md) - [Braintrust API + MCP vs DeepEval](https://www.anchorterminal.com/compare/braintrust-vs-deepeval.md) - [Braintrust API + MCP vs Prefactor](https://www.anchorterminal.com/compare/braintrust-vs-prefactor.md) - [Galileo API + MCP vs Prefactor](https://www.anchorterminal.com/compare/galileo-vs-prefactor.md) - [Helicone AI Gateway + MCP vs Prefactor](https://www.anchorterminal.com/compare/helicone-vs-prefactor.md) - [HoneyHive vs Prefactor](https://www.anchorterminal.com/compare/honeyhive-vs-prefactor.md) - [Laminar API + MCP vs Prefactor](https://www.anchorterminal.com/compare/laminar-vs-prefactor.md) - [Langfuse API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langfuse-vs-prefactor.md) - [LangSmith API + MCP vs Prefactor](https://www.anchorterminal.com/compare/langsmith-vs-prefactor.md) - [LangWatch vs Prefactor](https://www.anchorterminal.com/compare/langwatch-vs-prefactor.md) - [MLflow Tracing vs Prefactor](https://www.anchorterminal.com/compare/mlflow-tracing-vs-prefactor.md) - [Prefactor vs Pydantic Logfire](https://www.anchorterminal.com/compare/prefactor-vs-pydantic-logfire.md) - [Prefactor vs Respan API + MCP](https://www.anchorterminal.com/compare/prefactor-vs-respan.md) - [Prefactor vs W&B Weave](https://www.anchorterminal.com/compare/prefactor-vs-wandb-weave.md) - [DeepEval vs Galileo API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-galileo.md) - [DeepEval vs Helicone AI Gateway + MCP](https://www.anchorterminal.com/compare/deepeval-vs-helicone.md) - [DeepEval vs HoneyHive](https://www.anchorterminal.com/compare/deepeval-vs-honeyhive.md) - [DeepEval vs Laminar API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-laminar.md) - [DeepEval vs Langfuse API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langfuse.md) - [DeepEval vs LangSmith API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-langsmith.md) - [DeepEval vs LangWatch](https://www.anchorterminal.com/compare/deepeval-vs-langwatch.md) - [DeepEval vs MLflow Tracing](https://www.anchorterminal.com/compare/deepeval-vs-mlflow-tracing.md) - [DeepEval vs Pydantic Logfire](https://www.anchorterminal.com/compare/deepeval-vs-pydantic-logfire.md) - [DeepEval vs Respan API + MCP](https://www.anchorterminal.com/compare/deepeval-vs-respan.md) - [DeepEval vs W&B Weave](https://www.anchorterminal.com/compare/deepeval-vs-wandb-weave.md)