> For the complete documentation index, see [llms.txt](https://docs.openrank.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.openrank.com/the-reputation-stack/apps-and-clients.md). # Apps and Clients Once the OpenRank compute nodes have committed the compute results, they can be combined with other scores or any other data to solve a particular use case or application's need. For example, for a permissionless marketplace like Metamask Snaps, once EigenTrust compute produces a ranking for security experts and developers, their scores can be combined with what they say about a particular snap. This post-processing step can be defined and modified by the community to create a community sentiment score for a Snap. In addition, the community can also use other OpenRank developer or security expert scores from another use case in calculating a cumulative Snap score. You can read more here. This shared and composable reputation layer enables scope for permissionless innovation in rankings, algorithms for any type of app or marketplace. OpenRank protocol remains un-opinionated about how the scores should be used, or who's score should be used. This is left for the community to decide. OpenRank enables this infrastructure for anyone to publish rankings and reputation scores for a use case, enabling wider choice for apps and users instead of trusting a single party. --- # 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.openrank.com/the-reputation-stack/apps-and-clients.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.