Structured, connected
education datasets
Build Knowledge Graph’s machine-readable
data directly into your stack.
Integrate curriculum, academic standards and skills, and learning science research.
Available Datasets

- High Quality Instructional Materials (HQIM) that are aligned with academic standards. The materials include evidence-based curricula with a coherent scope and sequence to enable classroom instruction that matches how students learn best. Knowledge Graph includes an open K-12 math curriculum, with more subjects and programs to come.
Educational data infrastructure for developers
Connections count for developers and learners
Developers shouldn’t have to dig educational data from silos. Knowledge Graph’s open curriculum, state academic standards, and learning components are structured, connected, and ready to integrate. Personalize learners’ experiences while driving more coherent AI-powered education.
Stay aligned across domains
Learning doesn’t happen in isolation. Academic standards evolve across grade bands and skills build over time. Knowledge Graph supports cross-domain exploration, allowing you to query relationships across subjects, grade levels, and instructional frameworks to power richer AI experiences. When academic standards evolve, Knowledge Graph adapts alongside them.
Production-ready integration
Not just structured but usable. Knowledge Graph is available in formats designed for real-world AI development, including REST APIs for fast integration, MCP support for AI agent workflows, and file downloads for offline or self-hosted use. However you build, the data meets your workflow.