> For the complete documentation index, see [llms.txt](https://docs.selaciti.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.selaciti.com/integrations/ecosystems.md). # RobinHood Chain & Agentic Selaciti is built around ArrowPad on Robinhood Chain and the Robinhood Agentic platform. ## Chain * **Robinhood Chain**: where $CITI lives and where Creator Fee Vault and buyback-and-burn activity settle. ## Robinhood Agentic * Regulated market access for AI agents, connected through Robinhood's **MCP server**. * Supported inside Selaciti for both the Creator Fee Vault and users automating their own trading. * Reserved budgets, per-trade notifications, and one-tap disconnect. See [Robinhood Agentic](/architecture/robinhood-agentic.md) for the full integration. ## Wallets and access * Connect to Selaciti to hold $CITI or to link a Robinhood Agentic account. * Holding $CITI gives passive buyback/burn benefit automatically. * Holding **0.1% of total $CITI supply** in any wallet unlocks full platform access. ## For your own trading * Link a dedicated Robinhood Agentic account. * Fund a reserved budget and set risk limits. * Run your own agent on the same regulated rails the Creator Fee Vault uses. Third-party references are for identification only and do not imply endorsement or affiliation. --- # 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.selaciti.com/integrations/ecosystems.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.