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General

Sign in to our Learning Commons Platform ↗ to use our 2 edtech development tools:
No. Creating a Learning Commons Platform ↗ account is free and gives you full access to Knowledge Graph and Evaluators. Most Knowledge Graph datasets and all Evaluators are openly licensed and free to use. A small number of gated Knowledge Graph datasets may require users to accept separate licensing terms and fees from the dataset publishers.
No. Knowledge Graph and Evaluators serve different stages of an AI content generation pipeline and can be used independently.With that said, many teams find value in integrating both tools – Knowledge Graph to ground content generation and Evaluators to verify the output.

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Learning Commons Platform

Your Learning Commons Platform ↗ account allows you to:
The Learning Commons Platform ↗ manages access to API keys, gated datasets, team collaboration, and permissions by organization.You will be prompted to create your organization when first signing in to your Learning Commons Platform account. Any API keys you create will be linked to that organization automatically.
Unfortunately, API keys can’t be transferred between organizations. You’ll need to create new API keys in the correct organization and update your projects to use them.Your old API keys will continue to work until you manually delete them, so you can migrate at your own pace.

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Knowledge Graph

With our datasets, edtech developers can more reliably produce AI-generated educational content that:
  • Aligns to academic standards
  • Incorporates high-quality curricula
  • Is rooted in learning science
  • Can be translated across states
Check out some common use cases of Knowledge Graph before getting started.
Yes. Knowledge Graph is LLM-agnostic — you can use it with OpenAI, Google, Anthropic, or any other provider.If you’re building an agent-based workflow, the MCP server makes it easy to connect Knowledge Graph data directly to tools like Claude or Cursor without writing custom retrieval logic.
Knowledge Graph covers all 50 U.S. states, with availability varying by dataset and subject. We do not currently offer international coverage.We are actively expanding coverage across states and subjects.See our Roadmap for what’s in progress, or contact support@learningcommons.org ↗ if you need help finding data for your region.
Yes. We actively expand Knowledge Graph coverage based on demand.Check the Roadmap for upcoming datasets and standards support, and share your coverage requests with us at support@learningcommons.org ↗.
You can get up and running with Knowledge Graph in minutes, using one of our 4 access methods.Check out our Quickstart for more information.

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Evaluators

AI often fails educators in predictable ways (e.g., grade-leveling text, aligning to standards, etc.).Our evaluators address this known credibility gap:
  • They are validated against expert-annotated datasets and grounded in human expertise, learning science, and academic standards
  • They don’t just tell you what’s “wrong” with your AI-generated content – they also provide actionable guidance on how to fill the gaps
Check out some common use cases of Evaluators before getting started.
Our evaluators allow you incorporate standards-aligned educational data into your AI content generation pipeline – all without having to rely on slow and expensive human evaluation.Our evaluators are also interoperable with many industry tools, so you don’t have to completely overhaul your tech stack:
Most users’ requirements can be generalized relatively easily, and it is unlikely that your team’s unique setup will degrade the accuracy of our evaluators’ output.Reach out to support@learningcommons.org ↗ if you have further questions about integration.
We currently provide the following evaluator families and evaluator datasets:Check out our Roadmap for upcoming evaluators and datasets.
You can get up and running with Evaluators in minutes, using one of our 3 access methods.Check out our Quickstart for more information.