> For the complete documentation index, see [llms.txt](https://docs.seedata.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seedata.io/features/integrations/webhook.md). # Webhook The web hook integration is a broad-use utility that allows you to post seed data to any receiving end point, with the headers and payload configured in the schema expected by the receiving end point. You will provide a URL and configure header name and value pairs. You can then add dynamic or static values to the payload assigning the names that you need them passed as. Dynamic values will be populated when the deployment is run. Static values will always send the text you configure within the integration. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.seedata.io/features/integrations/webhook.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.