Judgment Labs vs Patronus AI
A side-by-side comparison of Judgment Labs and Patronus AI, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Judgment Labs | Patronus AI |
|---|---|---|
| Category | Eval | Eval |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | BYO key / model | Self-contained (on-device) |
| Vendor (differs) | Judgment Labs | Patronus AI |
The honest brief
Judgment Labs
Scores entire agent trajectories — tool calls, memory, long reasoning — and turns that production data into RL/SFT post-training, not just pass/fail evals.
- Open-source judgeval framework (Apache-2.0)
- Trajectory-level, not just output, evals
- Feeds production data into RL/SFT
- MCP integration with coding agents
- Hosted platform pricing not public
- Young company (founded 2026)
- Geared to complex 'deep' agents
Patronus AI
Ships trained evaluator models (Lynx, GLIDER, Percival) rather than only prompt-based LLM-judge scoring.
- Research-backed Lynx, GLIDER, and Percival models
- Covers hallucination, judging, and agent-trace debug
- Self-serve API with free credits
- Guardrails + monitoring across the lifecycle
- Cloud-only; no self-host
- Usage-based pricing can be opaque at scale
- Smaller OSS footprint than open eval tools