> For the complete documentation index, see [llms.txt](https://university.mindstudio.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://university.mindstudio.ai/building-ai-agents/blocks-reference/find-coda-table-row.md). # Find Coda Table Row Fetch data from a table row in Coda. ## Configuration ### Account **Dynamic (Ask at runtime)** This setting will ask a user to login to their Coda account when they run the app. ### **Connect a New Account** Follow the instructions on the pop-up window to directly connect MindStudio to your Coda account. ### Document Enter the document ID for where the table exists. You may include variables. ### Table Enter the table ID for the table you are fetching data from. ### Output Variable Save the returned row data to a variable. The returned data will be a JSON object. ### Row Data Provide the search criteria. At least one field should be specified to a find a specific row. **(optional)** --- # 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://university.mindstudio.ai/building-ai-agents/blocks-reference/find-coda-table-row.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.