> For the complete documentation index, see [llms.txt](https://docs.squareuplabs.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.squareuplabs.com/introduction/value-proposition.md). # Value Proposition

Often, NFT collections have no inherent expected value. Users speculate on the ability of a founding team to execute a roadmap that will provide value to their jpegs. These NFT collections are backed by nothing. Every SquareUp contest, however, is backed by 100% of the entry fees. All primary mint revenue will fund that contest's prize pool. Each NFT in a given SquareUp contest has the same expected value until teams are randomly assigned. After teams are randomly assigned, the sum of all NFTs’ expected values still equals 100%. The SquareUp contest model allows people to speculate on the possibility of a high payout with a low cost of entry. The use of NFT technology allows users to capture some value of a scorecard without holding it to the end of the contest, providing an extra level of engagement rather than relying upon pure random chance. SquareUp is the first protocol to utilize NFTs as contest assets linked to real-world outcomes. Users will truly own their contest assets and proof-of-ownership will be linked to prize payouts. --- # 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.squareuplabs.com/introduction/value-proposition.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.