> For the complete documentation index, see [llms.txt](https://docs.gyro.win/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gyro.win/overview/rewards.md). # Rewards * [Evergreen Plant Rewards](#evergreen-plant) * [Lenging Rewards](#lending-rewards) ## Evergreen Plant Rewards 1. 15% share from each 6/41 Lottery draw 2. 15% share from each 6/21 Lottery draw 3. 75% from lending interests 4. A share of the revenue from the PlantMe wallet 5. A share through the prediction market 6. Gains stablecoin staking rewards from third-party platforms, optimized by an AI-bot to secure the highest available incentives 7. \[User’s Choice] Users can earn additional rewards through the Money Plant by staking their convertible bond {% hint style="info" %} The wallet & prediction market share has not been determined, and rewards will not be distributed until it is finalized. Lottery rewards will not be included until the game’s migration to the Sui network is complete. {% endhint %} ## Lending Rewards Lending rewards come from borrowing, as we maximize the utilization of lending funds to ensure higher ROI for lenders. For example, we anticipate users from prediction trading to borrow funds, thereby increasing the utilization and efficiency of the lending pool. --- # 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.gyro.win/overview/rewards.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.