> For the complete documentation index, see [llms.txt](https://stadiax.gitbook.io/stadiax-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://stadiax.gitbook.io/stadiax-whitepaper/growing-ecosystem/rewards-program.md). # Rewards Program The StadiaX Reward Program is anchored in a philosophy that values and appreciates its community, aiming to stimulate engagement through a thoughtfully designed system of rewards. At the core of this program lies the recognition of the players' commitment and time investment in the platform. StadiaX's approach to rewards is not just about incentivizing gameplay but also about building a deeper sense of community and belonging. By offering a variety of rewards, including exclusive NFTs, STADX Tokens, and special access to events and content, the program seeks to tangibly appreciate and acknowledge the contributions of its members. These rewards are strategically designed to not only gratify players but also to encourage ongoing interaction, participation, and collaboration within the StadiaX ecosystem. This focus on rewarding engagement not only enhances the gaming experience but also fosters a loyal and active community, central to the vibrant and dynamic nature of StadiaX. --- # 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://stadiax.gitbook.io/stadiax-whitepaper/growing-ecosystem/rewards-program.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.