> 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/antground/mega-ant.md). # Mega ANT ### 1. Introduction Mega ANT is a premium reward content in the form of a scratch-off lottery, allowing users to challenge for massive jackpots using their ANT tokens. Users can instantly verify their winnings by scratching the ticket while simultaneously enjoying the gamified experience of collecting unique character images. ### 2. Gameplay & Participation * Entry Cost: Each play requires 350 ANT. * Asset Deduction: The specified amount of ANT is immediately deducted upon starting the game. Tokens spent are final and cannot be recovered or refunded, regardless of the outcome. * Game Mechanics: Users participate by scratching off the designated area on the Mega ANT Ticket to reveal hidden results. * Collection System: Regardless of the winning outcome, the specific ANT character image featured on the purchased ticket is automatically collected. Users can view and manage their collection of gathered ants at any time through the Mega ANT dashboard. ### 3. Rewards & Results * Instant Verification: Winning results are displayed on the screen immediately after scratching the ticket. * Automatic Distribution: Any rewards won are instantly credited to the user’s connected account. * Probability-Based Rewards: All reward amounts are automatically determined based on pre-set mathematical probabilities. * Continuous Opportunity: Even if another user wins a major prize, a new reward pool is immediately prepared, allowing for seamless and continuous participation. * Transparency: All winning records and reward details can be transparently verified in the Wallet History or Bonus History section. ### 4. Terms & Precautions * No Guarantee of Rewards: Mega ANT reward levels and outcomes may vary depending on ecosystem balance and user participation. The Company does not guarantee specific reward levels or profit margins. * Legal Disclaimer: This service does not constitute a financial product or investment scheme protected by traditional financial regulations (e.g., Capital Markets Act). * Operational Environment: All service details are subject to change without prior notice to ensure optimal ecosystem balancing and operational integrity. --- # 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/antground/mega-ant.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.