> For the complete documentation index, see [llms.txt](https://ordinals-nova.gitbook.io/ordinals-nova-white-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ordinals-nova.gitbook.io/ordinals-nova-white-paper/overview.md). # OVERVIEW Introducing Ordinal Nova, a groundbreaking cryptocurrency ecosystem that seamlessly integrates BRC-20 Ordinal Non-Fungible Tokens (NFTs) Marketplace, a unique burn mechanism, BNB rewards to all holders, and cutting-edge artificial intelligence for market insights into the Crypto-Investment landscape. This innovative venture is set to culminate in a future Ordinals NFT Festival within the expansive Ordinals Metaverse - an ambitious State of the Art Metaverse infrastructure that will host all Ordinals. At the heart of Ordinal Nova lies the BRC-20 Ordinal Principles, a robust and secure token standard on the Binance Smart Chain (BSC). This foundation ensures compatibility with other tokens on the BSC network, facilitating seamless transactions and interactions within the ecosystem. The BRC-20 framework also provides a solid and reliable base for the development and implementation of advanced features and functionalities. --- # 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://ordinals-nova.gitbook.io/ordinals-nova-white-paper/overview.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.