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Scorecard

Simulation platform for building frontier AI agents, testing them on realistic scenarios with evals

Observability tool by Scorecard

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Chalk Labs

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About

Scorecard runs an agent through many realistic scenarios and returns feedback in minutes, using a library of validated metrics and custom metrics. Teams can version and store prompts, test ideas in a playground, and run structured tests of up to 10,000 scenarios before shipping.

Use cases: llm-evaluation

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Fact sheet

Category
Evals
Compliance (vendor says)
SOC 2scorecard.io
Protocols
mcp

Plans

Starter$0unlimited users; 100,000 scores
Growth$299/monthunlimited users; 1M scores/month then $1 per 5K; test set management; prompt playground; priority support
EnterpriseContact salescustom pricing; SAML SSO; SOC 2 compliance reporting; end-to-end encryption; 24/7 VIP support

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Scorecard. Agent Mart. https://agentmart.dev/observability/scorecard (last updated 2026-10-24)