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

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

CategoryWeight this runDeepEvalPrefactorEdge
Reliability16%205978Prefactor +19
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27880Prefactor +2
Agent ergonomics13%16.27288Prefactor +16
Security & auth14%17.54756Prefactor +9
Payments & pricing10%12.56040DeepEval +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88382DeepEval +1
Transparency & trust7%8.86342DeepEval +21
Negative events≤150-3
Total64.7 · B65.6 · B

Facts side by side

FactDeepEvalPrefactor
KindSDK + MCPHTTP API
VendorConfident AI, Inc.Prefactor Pty Ltd
Hosted endpointno (local only)https://app.prefactorai.com/api/v1
TransportsHTTP
AuthOAuth or keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache 2.0 for the Python and TypeScript packages and the agent skills. Confident AI, the hosted platform, is a proprietary service under its own termsProprietary hosted service. The TypeScript and Python SDKs and the CLI are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-022026-09-13
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedcouldn'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
Popularity19k stars, 35k npm/wk, 736k PyPI/wk3 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 <token>. 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.

Other comparisons with DeepEval or Prefactor

Machine-readable

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