> For the complete documentation index, see [llms.txt](https://whitepaper.anttime.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.anttime.net/products-and-services/antrank/view-system.md). # View System ### 1. Introduction The ANTRANK View is a real-time ranking monitoring system that quantifies and transparently discloses the contribution levels of users within the ANTTIME ecosystem. Through this system, users can identify their current standing and view estimated rewards in real-time, providing powerful motivation for ecosystem engagement. ### 2. Key Interface & Indicators * My Rank: Displays the user's current position among all participants in real-time. * Top Percentile: Visually represents the user's standing as a percentage of the total population (e.g., TOP 1%). * Accumulated Activity Points: Shows the total points earned through ANTGROUND and other ecosystem activities, serving as the primary metric for ranking. ### 3. Real-time Reward Estimation * Estimated Rewards: Real-time calculation of the ANT tokens or rewards a user is expected to receive at the time of settlement, based on their current rank. * Dynamic Update: Rankings and estimated rewards fluctuate in real-time based on the activities of other users, encouraging healthy competition within the community. ### 4. Seasonality & Settlement * Season Info: Displays the name of the current season (e.g., Season 1) and the remaining time until the season concludes. * Settlement Process: Rewards are finalized based on the final ranking at the end of each season and are automatically distributed to the user’s wallet. ### 5. Transparency & Fairness * Real-time Data Feed: All ranking data is fairly calculated based on integrated on-chain and off-chain activity logs. * Ranking History: Final rankings and earned rewards from previous seasons can be transparently accessed through the history menu. --- # 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://whitepaper.anttime.net/products-and-services/antrank/view-system.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.