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EvalPatronus AI

Patronus AI

Automated evaluation, guardrails, and monitoring for AI systems.

Category
Eval
Pricing
FREEMIUM
Hosting
Cloud
Platforms
WebAPI
Models
Self-contained (on-device)
Verified
Jun 7, 2026

Platform for evaluating, guarding, and monitoring LLM and agent applications across the deployment lifecycle. Anchored by research-backed evaluator models — Lynx (hallucination detection), GLIDER (LLM judge), and Percival (agent-trace debugger). Offers a self-serve API with free credits, usage-based pricing, and enterprise plans.

Capabilities 3

What it actually does — grouped by capability family.

  • LLM evaluation (primary capability)
  • Guardrails (primary capability)
  • LLM observability (secondary capability)

Pros & cons

  • 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

Tags

View all Eval
  • View Braintrust details
    EvalFREEMIUM

    Braintrust

    Braintrust

    Hosted eval + tracing platform for LLM apps.

    Production-grade eval orchestration with a dashboard, dataset versioning, and OpenTelemetry tracing. Useful once eval volume outgrows a CI YAML file.

    Eval workflow as the primary interface
    Closed-source SaaS
    • eval
    • tracing
    • datasets
    • production
  • View Langfuse details
    ObservabilityFREEMIUMOpen core

    Langfuse

    Langfuse

    Open-source LLM observability. Self-hostable, OpenTelemetry-native.

    Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

    Own your observability data
    Self-host infra cost at scale
    • open-source
    • tracing
    • evals
    • self-hosted
  • View Ragas details
    EvalFREEOSS

    Ragas

    Exploding Gradients

    Evaluation toolkit for RAG and LLM applications.

    Open-source (Apache-2.0) Python framework for evaluating retrieval-augmented generation and LLM apps. Provides reference-free metrics — faithfulness, answer relevancy, context precision/recall — plus knowledge-graph-based synthetic test generation. Integrates with LangChain, LlamaIndex, and CI pipelines.

    Faithfulness & relevancy metrics
    LLM-judge scores add cost/variance
    • eval
    • rag
    • llm-as-judge
    • open-source
    • +1
  • View Promptfoo details
    EvalFREEOSS

    Promptfoo

    Promptfoo

    LLM eval CLI with rubric scoring and golden sets.

    YAML-driven eval harness. Pair a prompt with a goldset, define rubrics, run across multiple models in CI. Strong for catching prompt regressions before they hit production.

    YAML-driven, version-controllable evals
    CLI-first, less of a hosted UI
    • eval
    • ci
    • rubric
    • open-source