# Introduction **Survarium** is a Web3 Play-to-Earn roguelike inspired by hits like **Brotato** and **Vampire Survivors**. The game combines fast-paced action, strategic progression, and blockchain-powered rewards in a fantasy world where survival is everything. Currently in **alpha**, Survarium is laying the foundation for a sustainable economy—soon, players will be able to earn **$SURV tokens** by making progress in the game. ## $SURV Tokenomics Survarium is built on a transparent and fair economic model that aligns player rewards with the game’s long-term vision. Our token distribution supports early adopters, ongoing development, and open market participation: * **5%** – Reserved for early player rewards * **5%** – Allocated to marketing efforts and liquidity provider incentives * **5%** – Team Treasury for game development, marketing, and ecosystem growth * **85%** – Available for public acquisition via decentralized exchange (DEX) pools All in-game revenue will be reinvested into the ecosystem—**fueling token burns to reduce supply, boosting marketing campaigns to grow the community, and funding continuous development to keep Survarium evolving**. Every contribution from players directly strengthens the project’s future, ensuring a thriving and sustainable economy for all. We are fully committed to the evolution of Survarium as long as the community remains active. Future **airdrops**, events, and limited-time challenges will further reward loyal and honest players. Any form of cheating will result in a permanent ban and the loss of earned rewards. Ultimately, the game's future is in your hands. Jump into the chaos, survive the onslaught, and become part of the **Survarium** legend. --- # 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://survarium.gitbook.io/survarium/readme.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.