Scorecard
Scorecard is a simulation and evaluation platform for building, testing, and deploying frontier AI agents. Teams run their agents through thousands of realistic scenarios, judge outputs with configurable AI, human, and heuristic metrics, and ship new capabilities with confidence. The platform organizes work into Projects, Testsets, Testcases, Metrics, Runs, Records, Scores, and Systems, and exposes a REST API (bearer API keys prefixed ak_) plus official Python, TypeScript/Node, and Go SDKs, a hosted MCP server, tracing integrations for LangChain, the Vercel AI SDK, and the Claude Agent SDK, and a GitHub Actions integration for evals in CI. Scorecard was founded to solve AI agent evaluation at scale and is backed by Kindred Ventures.
Scorecard publishes 7 APIs on the APIs.io network, including Metrics API, Projects API, Records API, and 4 more. Tagged areas include Company, AI, Agents, Evaluation, and Testing.
Scorecard’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, changelog, and 21 more developer resources.
Kin Score
APIs 7
Individual APIs this provider publishes, each with its own machine-readable definition.
Scorecard Metrics API
The Metrics API from Scorecard — 1 operation(s) for metrics.
Scorecard Projects API
The Projects API from Scorecard — 5 operation(s) for projects.
Scorecard Records API
The Records API from Scorecard — 5 operation(s) for records.
Scorecard Runs API
The Runs API from Scorecard — 2 operation(s) for runs.
Scorecard Systems API
The Systems API from Scorecard — 3 operation(s) for systems.
Scorecard Testcases API
The Testcases API from Scorecard — 2 operation(s) for testcases.
Scorecard Testsets API
The Testsets API from Scorecard — 2 operation(s) for testsets.
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MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
scorecard-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API