> For the complete documentation index, see [llms.txt](https://docs.quadratichq.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.quadratichq.com/developer-api.md). # Developer API ## Developer API The Quadratic Developer API lets you programmatically create and edit spreadsheets: write cells, run code, import files, manage sheets, and read results. Use it to integrate Quadratic into data pipelines, internal tools, and scheduled jobs. ### Authentication Create an API token from your team settings under **API tokens**. Tokens are team-scoped and shown once at creation — store them like passwords. Pass the token in the Authorization header: ``` Authorization: Bearer qdx_live_... ``` ### What you can do | Area | Capabilities | | ------------------- | --------------------------------------------------------------------------------------------------- | | Files | List, get, create, and import files | | Sheets | Add, rename, delete, duplicate, reorder, color, freeze panes | | Cells | Get/set values, code cells (Python, JavaScript, SQL, Formula), rerun code, formats, borders, merges | | Tables | Create data tables, convert ranges, column settings | | Rows & columns | Insert, delete, resize | | Validations | List, add, remove | | Conditional formats | Get and update | | Search & context | File outline, cell data, text search | | History | Undo, redo | | Connections | List connections and fetch database schemas | Files cannot be deleted through the API — deletion stays in the app. ### Client libraries Generated TypeScript and Python client libraries are available, so you can call the API with typed methods instead of raw HTTP. ### Developer API vs. MCP Both surfaces expose the same underlying operations. Use the **Developer API** for deterministic automation from your own code; use the MCP server when an AI agent should operate Quadratic on your behalf. --- # 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://docs.quadratichq.com/developer-api.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.