Head to head · Evaluations · October 2026 research run
DeepEval vs 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. Both do evaluations.
Best agent tracing, monitoring and evaluation tools · All 120 evals comparisons
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
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 this run | DeepEval | Prefactor | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 59 | 78 | Prefactor +19 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 78 | 80 | Prefactor +2 |
| Agent ergonomics | 13%16.2 | 72 | 88 | Prefactor +16 |
| Security & auth | 14%17.5 | 47 | 56 | Prefactor +9 |
| Payments & pricing | 10%12.5 | 60 | 40 | DeepEval +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 82 | DeepEval +1 |
| Transparency & trust | 7%8.8 | 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
- Set
DEEPEVAL_TELEMETRY_OPT_OUT=1before 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,MisuseMetricandToxicityMetricwhen upgrading past 4.2.0. Higher scores now mean better - Read results from
.deepeval/.latest_run_full.jsonor aresults_folder.deepeval inspectopens a terminal interface meant for a person - Pass an existing key with
deepeval login --api-keyin CI. Plaindeepeval loginopens a browser, and results then upload to Confident AI
Prefactor
- Send requests to
https://app.prefactorai.com/api/v1withAuthorization: Bearer <token>. The API host is not on theprefactor.techorprefactor.aidomains - Ask for a deployment-scoped token, or an account token created with
roleset toread_only, since the default role isfull_accesswith a two-year expiry - Pass
redacted: trueon 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
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.
Other comparisons with DeepEval or Prefactor
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- Arize Phoenix vs Prefactor
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- Baserun vs Prefactor
- Braintrust API + MCP vs DeepEval
- Braintrust API + MCP vs Prefactor
- Galileo API + MCP vs Prefactor
- Helicone AI Gateway + MCP vs Prefactor
- HoneyHive vs Prefactor
- Laminar API + MCP vs Prefactor
- Langfuse API + MCP vs Prefactor
- LangSmith API + MCP vs Prefactor
- LangWatch vs Prefactor
- MLflow Tracing vs Prefactor
- Prefactor vs Pydantic Logfire
- Prefactor vs Respan API + MCP
- Prefactor vs W&B Weave
- DeepEval vs Galileo API + MCP
- DeepEval vs Helicone AI Gateway + MCP
- DeepEval vs HoneyHive
- DeepEval vs Laminar API + MCP
- DeepEval vs Langfuse API + MCP
- DeepEval vs LangSmith API + MCP
- DeepEval vs LangWatch
- DeepEval vs MLflow Tracing
- DeepEval vs Pydantic Logfire
- DeepEval vs Respan API + MCP
- DeepEval vs W&B Weave
Machine-readable
- This page as Markdown
/compare/deepeval-vs-prefactor.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deepeval.json·/api/v1/tools/prefactor.json - From a terminal
anchor compare deepeval prefactor(the CLI) - Over MCP
compare_tools {"a": "deepeval", "b": "prefactor"}at/mcp, no key