General
What products does Learning Commons offer?
What products does Learning Commons offer?
Sign in to our Learning Commons Platform ↗ to use our edtech development products:
Do I need to pay to use Learning Commons products?
Do I need to pay to use Learning Commons products?
No. Creating a Learning Commons Platform ↗ account is free and gives you full access to Knowledge Graph, Evaluators, and Agent Skills. Knowledge Graph, Evaluators, and Agent Skills are openly licensed and free to use.
Do I have to use both Knowledge Graph and Evaluators?
Do I have to use both Knowledge Graph and Evaluators?
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 products – Knowledge Graph to ground content generation and Evaluators to verify the output.
Platform
Why do I need a Learning Commons Platform account?
Why do I need a Learning Commons Platform account?
Your Platform ↗ account allows you to:
- Demo our evaluators in the Evaluators playground ↗
- Explore our datasets using the Knowledge Graph Explorer ↗
- Generate API keys ↗ to integrate Learning Commons products into your project
Why do I need an organization associated with my account?
Why do I need an organization associated with my account?
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 Platform account. Any
API keys you create will be linked to that organization automatically.
My API keys are linked to the wrong organization. What can I do?
My API keys are linked to the wrong organization. What can I do?
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.
Knowledge Graph
Why should our team integrate Knowledge Graph?
Why should our team integrate 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
Can I use Knowledge Graph with any LLM?
Can I use Knowledge Graph with any LLM?
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 simple to work with Knowledge Graph data. You can use it directly with the LLM’s API or SDK (e.g., Messages APIs or Agents SDK) or with a coding agent (e.g., Claude Code, Codex, or Cursor).See Agent plugins and Agent Skills for more information.
What Knowledge Graph datasets are available now for my region?
What Knowledge Graph datasets are available now for my region?
Knowledge Graph covers all 50 U.S. states, with availability varying by dataset and subject. We do not currently offer international coverage.See Dataset coverage by category for more details.We are actively expanding coverage across states and subjects. Contact support@learningcommons.org ↗ if you need help finding data for your region.
Can I request a dataset or standard that isn't available yet?
Can I request a dataset or standard that isn't available yet?
Yes. We actively expand Knowledge Graph coverage based on demand.Share your datasets and standards coverage requests with us at support@learningcommons.org ↗.
How long does integration take?
How long does integration take?
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.
Evaluators
Why should our team integrate Evaluators?
Why should our team integrate Evaluators?
AI often fails educators in predictable ways (e.g., grade-leveling text, aligning to standards, etc.). Our evaluators address this known credibility gap:
- Validated against expert-annotated datasets
- Grounded in human expertise, learning science, and academic standards
- Provide actionable guidance on filling the gaps in your AI-generated content
I already have an evaluation process – why should I integrate your evaluators?
I already have an evaluation process – why should I integrate your evaluators?
Our evaluators allow you to 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 (e.g., BrainTrust ↗, LangSmith ↗, Arize ↗, LangWatch ↗, and Langfuse ↗), so you don’t have to completely overhaul your tech stack.
Our team has unique requirements and constraints for evaluation. Will your evaluators meet our team-specific needs?
Our team has unique requirements and constraints for evaluation. Will your evaluators meet our team-specific needs?
Most 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.
How does Learning Commons handle the content I send to evaluators?
How does Learning Commons handle the content I send to evaluators?
You retain ownership of any content you submit to Learning Commons evaluators.Learning Commons uses your submitted content as described in our Terms of Use and Privacy Policy to provide, operate, develop, and improve our services. Some evaluators rely on third-party large language model (LLM) providers to generate evaluation results. When an evaluator uses one of these providers, the content you submit is sent to that provider to perform the requested evaluation. Those providers operate under their own terms and privacy practices.For more information, see our Terms of Use ↗ (Section 3.3) and Privacy Policy ↗, or contact privacy@learningcommons.org ↗.
What evaluators and datasets are available now?
What evaluators and datasets are available now?
We currently provide the following evaluator families and evaluator datasets:
How long does integration take?
How long does integration take?
You can get up and running with Evaluators in minutes, using one of our 3 access methods. Check out our Quickstart for more information.
Agent Skills
Who are Agent Skills built for?
Who are Agent Skills built for?
Agent Skills are for edtech developers who want to use AI assistants to produce standards-aligned instructional materials for teachers.While teachers are the end users of these materials, Agent Skills are mostly installed and run in agent environments by edtech developers.See the Agent Skills docs for more information, or check out the Quickstart to get started.