> For the complete documentation index, see [llms.txt](https://developerdocs.instructure.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developerdocs.instructure.com/services/dap.md). # Data Access Platform Data Access Platform (DAP) is Instructure’s centralized data repository for analytics across products. Whether you're just starting, progressing through development, or preparing for release, DAP’s documentation and tools make building efficient and straightforward. ## Explore the Platform


Key Concepts	Learn how DAP’s entities and tools function and interact.	Cover - Concepts.svg	Key Concepts
Datasets	Find details about namespaces, tables, and schemas.	Cover - Datasets.svg	Datasets
Entity Relationship Diagram	Visualize DAP’s tables and their relationships.	Cover - ERD.svg	https://data-access-platform-api.s3.amazonaws.com/erd/index.html

## Create Your Solution


Query API	Create powerful integrations with external tools and services.	Cover - API.svg	Query API
Command Line	Manage and automate data imports into local databases from command line.	Cover - CLI.svg	Command Line (DAP CLI)
Client Library	Develop custom solutions with Python library providing a simple interface.	Cover - Lib.svg	Client Library

## Additional Resources


Release Notes	Find the latest updates on the DAP ecosystem.	https://community.canvaslms.com/t5/Canvas-Change-Log/2024-API-and-CLI-Change-Log/ta-p/591713
Status	Check the platform’s availability and status.	https://status.instructure.com
Community	Access Q&A and expert advice from the community.	https://community.canvaslms.com/t5/Data-and-Analytics-Group/gh-p/data

--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://developerdocs.instructure.com/services/dap.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.