Patronus AI

Patronus AI - Analytics AI Tool

Evaluators that catch failures automatically.

Patronus runs automated evaluation over LLM outputs — hallucination detection\, relevance\, safety — with purpose-built evaluator models rather than asking a general model to grade itself.

Purpose-built evaluators matter: a general model grading its own output shares its blind spots. API pricing is published per thousand calls — $10 for small evaluators\, $20 for large — with $10 in free credits and a free Developer tier to start.

Quick Information

Platform

Web

Pricing

Free + Paid (from $25/mo)

API

Available

Category

Analytics

Pros and Cons

Pros

  • Purpose-built evaluator models
  • Free Developer tier with no card
  • $10 free credits to start
  • Published per-call API pricing
  • On-prem and VPC on Enterprise

Cons

  • Free tier keeps only 2 weeks of history
  • Page limits on the Base plan
  • Evaluator calls billed separately
  • Enterprise pricing not published
$0.00

Free + Paid (from $25/mo)

Detect Hallucinations Automatically

Evaluate LLM Output at Scale

Run Experiments and Compare

Start on a Free Tier

FAQs

Is Patronus AI free?

Yes. The Developer tier is free with 2 projects\, 5 experiments per project\, unlimited comparisons and datasets\, and two weeks of history. No card required.

How much does Patronus cost?

Base is $25/month with 600 pages. API calls are $10 per 1\,000 small evaluator calls\, $20 per 1\,000 large\, and $10 per 1\,000 eval explanations.

Are there free credits?

Yes — new users get $10 in free credits.

What makes its evaluators different?

They are purpose-built evaluator models rather than a general LLM grading its own output.

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