# Gaps in Current Revenue Sharing Models While some Web3 projects and traditional platforms offer revenue-sharing mechanisms, they suffer from several limitations: * **Lack of transparency:** Revenue flows are often opaque, with little visibility into how funds are generated and distributed. * **Centralized control:** Platform owners or a small set of stakeholders retain most of the value, while contributors and users receive minimal rewards. * **Limited scalability:** Many models rely on manual or semi-automated processes that cannot scale with the dynamic nature of AI-driven services. * **Fragmented AI integration:** AI agents are often integrated as siloed tools without a unified framework for revenue generation and distribution. There is a clear need for a **next-generation revenue sharing model** that is: * Transparent * On-chain verifiable * Scalable across diverse AI agent services * Community-driven and decentralized --- # Agent Instructions: 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://rev-x.gitbook.io/rev-x-docs/market-background-and-opportunity/gaps-in-current-revenue-sharing-models.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.