AI agent evaluation
you can trust in production
Score every agent response for accuracy, policy compliance, safety, and tone. From setup to production monitoring in minutes.
No sign up required. 100 free evaluations/day.
Before
Sure! You can return pretty much anythingHallucination within 30 days, including sale and clearance itemsPolicy violation. We'll refund you right awayUnclear once we receive the item.
After
Full-price items can be returned within 30 days of delivery for a full refund. Sale items are eligible for exchange only. Clearance items are final sale. Refunds are issued within 5–7 business days.
See every evaluation at a glance
Each evaluator outputs a % score with a plain-language justification. Review what passed, what failed, and why. No trace diving required.
The problem
Why single-purpose judges fall short
LLM-as-a-judge is often treated as an expensive reliability tool. A single evaluator for a single concern. That leaves gaps.
Expensive and narrow
Traditional LLM judges evaluate one aspect at a time. Running a comprehensive suite seems cost-prohibitive, so you settle for spot checks.
Reactive, not proactive
Most evaluators only get added after something breaks. Without broad coverage, problems hide in the gaps between your checks.
Manual trace analysis
When issues surface, developers spend hours sifting through traces to find the root cause. The evaluation should point you to the fix.
How it works
How Scorable makes it practical
Create evaluators with AI
Our Skill analyses your codebase, creates the evaluators you need, and integrates them automatically. Factual accuracy, tone, safety, task completion covered from the start.
Calibrate to your standards
Each evaluator comes with a synthesized calibration test set. Check that the examples align with your standards and use AI to adjust until each evaluator measures exactly the right thing.
Ship with confidence
Run your evaluation suite on every response. Surface the essential issues upfront so you focus on meaningful fixes, not trace analysis.
Beyond prompt-based judging
Why not just prompt GPT to evaluate?
Prompting an LLM to judge another LLM is easy to set up and hard to trust. Scorable solves the problems that make raw LLM judges unreliable.
Calibrated against ground truth
Every evaluator is tested against a labeled dataset before it runs in production. You know its accuracy upfront, not just its opinion.
Consistent and reproducible
Raw LLM judges give different scores on the same input across runs. Scorable's calibration process minimizes scoring variance so you can trust the results.
No prompt engineering required
Instead of crafting and maintaining evaluation prompts yourself, Scorable generates evaluators from your codebase and calibrates them automatically.
Why Scorable
Why developers choose Scorable
A comprehensive evaluation suite you can set up, calibrate, and iterate on. No overhead.
Broad coverage from day one
A comprehensive evaluation suite catches issues across factuality, safety, tone, and task completion. Not just one dimension at a time.
Transparent scoring with justifications
Every evaluator outputs a % score and a plain-language explanation. You know what was measured, why it scored the way it did, and what to fix.
Calibration you control
Review how each evaluator behaves, then tighten or loosen the criteria. Scorable applies your adjustments with AI. Minimal manual work.
Replace trace analysis with actionable signals
Instead of digging through thousands of traces to find patterns, let your evaluation suite surface exactly what needs attention.
Comprehensive evaluation, not expensive guesswork.
100 free evals/day · no credit card required · SOC 2 Type II certified