# Introduction Fishinglands is a blockchain-game on WAX developed by Private Coding Company Limited, introduced in play-to-earn format. To begin with, the players are required to own tools in the game which can be purchased via AtomicHub, exchanged with other players, or crafted by certain tokens from a decentralized exchange called “Alcor Exchange”. This game allows the players to emphasize specifically on the management of resources within their wallet. In Fishinglands, the players will play roles as an enthusiastic fisherman who is obsessed with fishing in which he is desired to own the finest fishing rod. Each players will contribute and take parts in building their multiverse by using in-game assets. We strongly believe that having these assets is one of the ways that the players can become more engaging and attracted to the game. However, the players are also awarded with in-game tokens that can be used to craft new tools or exchanged in Alcor Exchange. Our intention is to create a healthy economic system that offers multiple opportunities for the players within the game. With the great stability in our tokenomics, this persuades active investors and game participants to take part in the role of Fishinglands economy. Since the players get a sense of enjoyment from playing the game, we also wish the players to love the game that we are highly dedicated to making it out. At Fishinglands, we intended to attract different players, regardless of their social classes, ages and genders. We would undoubtedly invite those who are crypto enthusiasts as much as possible. Our game will continuously develop and become the most successful blockchain game at its highest point. --- # 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://fishinglands.gitbook.io/whitepaper/introduction.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.