Patronus Evaluation Platform
Patronus AIManaged evaluation platform built around in-house judge models: Lynx for hallucination detection, GLIDER for explainable rubric judging and Percival for analyzing agent execution traces. It runs experiments for A/B testing, real-time production monitoring with tracing and alerts, and red-teaming, reached through Python and TypeScript SDKs.
Openness
2 medium confidence- platform
- closed(hosted SaaS
- source
- partial(patronus-py is a client wiring to the hosted API, not the engine)
- client-SDKs
- open(patronus-py public on GitHub, v0.1.25, but only 7 stars and wires to the hosted API)
The open-source SDK is a thin client to a closed hosted evaluation backend: the scoring engine and the managed Lynx and Glider evaluators are proprietary, not self-hostable, and the SDK repo carries no license text. Rather than an open core withholding a paid tier, this is an open periphery around a runtime that never ships, keeping the source partial rather than closed.
- https://api.github.com/repos/patronus-ai/patronus-py recorded 2026-08-13
stargazers_count = 8, pushed_at 2026-01-09, and the repo's `license` field is null - GitHub detects no license file on the SDK at all.
- https://docs.patronus.ai/docs recorded 2026-06-04
hosted platform: built-in Lynx/Glider evaluators, experiments, production monitoring, SDK access to cloud service
- https://docs.patronus.ai/docs recorded 2026-08-13
An end-to-end hosted system for evaluating, monitoring and improving performance, with Lynx and Glider as in-house evaluators, experiments, real-time production monitoring and Python/TypeScript SDKs into the cloud service. No self-hostable or open-source evaluation engine is offered anywhere in it.
- https://github.com/patronus-ai/patronus-py recorded 2026-06-04
Python SDK whose remote evaluators 'run remotely on Patronus infrastructure'; v0.1.25 Jan 2026; 7 stars
- https://raw.githubusercontent.com/patronus-ai/patronus-py/main/README.md recorded 2026-08-13
SDK README's own example carries the comment '# This evaluator runs remotely on Patronus infrastructure.' - the published code wires to the hosted engine rather than being it.
Adoption
not assessedThe homepage and pricing page publish no user, customer or usage-volume count, and the SDK's GitHub stars belong to a client library that wires to the hosted service rather than the platform itself, so no level is assigned rather than one inferred from marketing.
- https://api.github.com/repos/patronus-ai/patronus-py recorded 2026-08-13
stargazers_count = 8 on the public SDK, which is not an honest usage figure for the hosted platform
- https://docs.patronus.ai/docs recorded 2026-08-13
No customer count, no usage volume and no seat count published. Three named case studies (Nova AI, Etsy, Weaviate) carry no quantitative adoption data.
- https://github.com/patronus-ai/patronus-py recorded 2026-06-04
7 stars on the public SDK (no honest usage figure for the hosted platform)
- https://www.patronus.ai recorded 2026-09-29
The homepage lists "Handling complex customer support cases end-to-end" among its task areas and one count, "5k+ expert contributors", which counts data labelers rather than users; searched the body for downloads, million and trusted by: none, so it publishes no user, customer or usage figure.
- https://www.patronus.ai/pricing recorded 2026-09-29
The pricing page compares plans with rows such as "Customizable options to meet your specific needs" and "Number of Users"; searched the body for downloads, million and trusted by: none, so it publishes no customer or usage figure.
Capability
3 medium confidenceA solid, broad commercial eval feature set - evaluators, experiments, monitoring and agent evaluation - but not frontier-defining within the category, and the closed backend limits reproducibility. Mid-tier on features overall.
- https://docs.patronus.ai/docs recorded 2026-06-04
Lynx/Glider evaluators, RAG/agent/NLP/OWASP metrics, experiments, red-teaming, monitoring
- https://docs.patronus.ai/docs recorded 2026-08-13
Lynx and Glider in-house evaluators plus custom ones, experiments for A/B testing, real-time production monitoring through tracing and alerts, and Python/TypeScript SDKs. Agent evaluation and Percival present. Nothing independently reproducible, the engine being closed.
Verified 2026-09-29, except some scores, still awaiting re-confirmation