Your AI
judges itself.
Autonomously.
LLM-as-a-judge evaluation API. Send a prompt, response, and criteria — get back a structured quality score with reasoning. Every eval stored for trend analysis.
Try the Live Demo ↓Live Demo
Run a real evaluation against the API. Scores 1-5 with structured reasoning.
Every prompt change is a dice roll. Every model update, a leap of faith.
Silent regressions
A model update ships Tuesday. Thursday, your chatbot starts hallucinating. You find out Monday from a customer complaint.
Manual eval pipelines
Your team spends 20+ hours a week writing test cases, running evaluations, comparing results. Time that should go to building product.
Wrong metrics
Generic benchmarks tell you nothing about your use case. MMLU scores don't predict whether your support agent handles refunds correctly.
API Quick Start
LLM-as-Judge
Structured 1-5 scoring using frontier models. JSON output with reasoning, criteria met, and criteria missed.
History & Analytics
Every evaluation stored. Track quality over time. Get score distributions and trend data via the stats API.
Custom Criteria
Define your own evaluation dimensions — accuracy, tone, completeness, safety. Score what matters to your product.
Fast & Lightweight
Simple REST API. No SDKs to install, no agents to configure. One POST request, one structured result.