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Scorecard

Scorecard is a simulation and evaluation platform for AI agents that runs agents through thousands of realistic scenarios, combines LLM scoring, human feedback and production monitoring, and integrates with major agent frameworks.

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Introduction

Scorecard pitches itself as the simulation platform for agent self-improvement. You run your agent through thousands of realistic scenarios and get feedback in minutes rather than waiting weeks for experts to review production logs.

Its Product Hunt launch described combining LLM evals, human feedback and product signals. The team noted one-line integrations with LangChain, Haystack, LlamaIndex, CrewAI and others, mention in the Vercel AI SDK and OpenAI Agents SDK docs as an observability provider, and monitors that sample live traffic at 1-100% and score it in real time so failing traces become new evals.

Launch and background: Scorecard’s Product Hunt page lists it as launched in 2025, where it reached #1 Day Rank.

Features

  1. Scenario simulation: Thousands of realistic runs.
  2. Mixed signals: LLM metrics, rules, human review and product metrics.
  3. Production monitors: Sample and score live traffic.
  4. Experiments: Compare ideas in a test lab.
  5. Framework integrations: LangChain, LlamaIndex, CrewAI and more.

Pros

  1. Free tier: $0 plan available.

Cons

  1. Score-based billing: Overages per 5,000 scores.
  2. Setup effort: Scenarios need curation.
  1. Instrument your agent with a Scorecard integration.
  2. Define metrics and generate scenarios.
  3. Turn on monitors to convert production failures into evals.

Resources:

Pricing

Scorecard lists a $0 plan and a $299 plan that includes 1 million scores a month, then $1 per 5,000 scores; enterprise is custom.

  1. Teams in high-stakes domains shipping agents frequently.

Conclusion

Scorecard combines simulation and production monitoring in one loop.

Pick a small set of metrics that track real business outcomes.

On CheckOps, Scorecard is filed under the Release & CI gates and Production monitoring & observability stages. Related tools listed here include Braintrust, LangSmith, Langfuse, Promptfoo, DeepEval and Galileo. Which one fits best depends mostly on your stack, your team’s size and skills, and whether you prefer to run tools yourself or pay for a managed service. This page reflects the official website, documentation and repository as they stood on 11 November 2026.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with Scorecard side by side.