> For the complete documentation index, see [llms.txt](https://docs.dapplooker.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dapplooker.com/dapplooker-analytics/registering-data/subquery.md). # Subquery ## Steps to Register SubQuery Project 1. Start by visiting DappLooker's website at . This is where you can register and access your project.
2. A popup will showcase our plans and pricing after successfully signing up or logging in with your Wallet/Account. Either select the free trial or click on the skip button.
3. After that, It will redirect you to the DappLooker's Discover page. Then click on the "My Dashboard" section.
4. Once you click on the My Dashboard, locate the "Register Project" button, then click on it.
5. In the "New Project" registration tab, select the "Subquery" option and click "Register Project" This will initiate the project registration process.
6. Enter a suitable Project Name. This information helps DappLooker connect to your subquery correctly.
7. Copy and paste the Subquery project endpoint in the input box.
If a SubQuery Project is already indexed, a message would appear saying “SubQuery Project is already indexed instead of repeating the entire registering process again.” Clicking “VIEW INDEXED DATA” will take you directly to the indexed SubQuery project data you are trying to register. --- # 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: ``` GET https://docs.dapplooker.com/dapplooker-analytics/registering-data/subquery.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.