> For the complete documentation index, see [llms.txt](https://docs.nucleusearn.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nucleusearn.io/nucleus-architecture/revenue-strategies/cross-chain-intents.md). # Cross-chain Intents With the growth of chain abstraction protocols and intent-based bridges, there has been a new found demand for off-chain stakeholders to assist in providing liquidity to fill orders for cross-chain bridging and swaps. Nucleus services this demand for liquidity by utilizing capital that’s not being deploying in other Infra-based revenue strategies. Nucleus deploys capital within its vaults to assist solvers in filling cross-chain intents and orders across balance abstraction orderflow auctions. One of the crucial aspects of Nucleus that enables it to be a perfect fit for this market is the fact that it de-facto manages an immense amount of liquidity in an extremely large amount of network environments. This allows the protocol to fill orders at a much more competitive rate with relatively low infrastructural overhead. --- # 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.nucleusearn.io/nucleus-architecture/revenue-strategies/cross-chain-intents.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.