
Scorecard - AI Eval Platform
Test thousands of agent scenarios in minutes, not weeks
What is Scorecard?
Scorecard is a simulation platform that enables AI agent developers to test and evaluate their agents against thousands of realistic scenarios in minutes rather than weeks. It provides a fast feedback loop through structured testing, prompt versioning, and customizable metrics to identify issues early and ship with confidence. Built for teams developing complex AI agents who need rapid iteration and continuous evaluation.
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Key Features of Scorecard
- Run agents through thousands of realistic scenarios
- Get feedback in minutes instead of weeks
- Version and store best-performing prompts
- Create and customize trustworthy metrics
- Access validated metric library with industry benchmarks
- Structured testing with actionable insights
- Scorecard Playground for rapid experimentation
- Manage and deploy agents to production without IDE
- Identify real-world usage issues
- Continuous evaluation and agent improvement
Who Should Use Scorecard?
Test AI agent performance before production deployment
Evaluate prompt variations quickly
Identify and address real-world usage issues
Validate agent reliability at scale
Compare agent performance against benchmarks
Track metrics that matter to your business
Rapid iteration during agent development
Scorecard: Pros & Cons
✓Pros
- Fast feedback loop - minutes instead of weeks
- Run 10,000+ scenarios before shipping
- Industry-validated metric library
- Version control for prompts
- No IDE required for deployment
- Customizable metrics
- Clear, actionable test insights
Frequently Asked Questions about Scorecard
Can I test my agent against scenarios I create myself, or does Scorecard only use predefined test cases?
Scorecard lets you create and customize scenarios for testing. The platform includes a validated metric library with industry benchmarks, but you can build your own test cases tailored to how your agent will actually be used in production.
How does Scorecard handle different versions of my agent's prompts during testing?
Scorecard includes prompt versioning built in, so you can test multiple prompt variations against the same scenarios and compare their results. This lets you identify which versions perform best before deploying to production.
What metrics can I measure when testing my agent?
You can use metrics from Scorecard's validated library, which includes industry benchmarks, or define your own custom metrics based on what matters to your business. The platform provides actionable insights that help you understand why an agent succeeded or failed in a given scenario.
Do I need a development environment set up to deploy agents through Scorecard?
No. Scorecard includes a Playground for rapid experimentation and can manage agent deployment to production without requiring an IDE, so teams can iterate and ship without being blocked by engineering infrastructure.
Tool Details
- Pricing
- Free
- Category
- Ai Agents Tools
- Added
- Jun 2026
- Last Updated
- Jul 2026
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