# Introduction Amara is more than a decentralized exchange. It is a hybrid system designed to unlock liquidity in sustainability assets, starting with synthetic carbon credits. The aim is to take a market worth trillions but locked behind regulation and exclusivity, and open it through DeFi infrastructure. The platform runs on two engines: * A **Perpetual DEX Engine** forked and optimized from GMX that allows users to long and short synthetic sustainability assets such as carbon credits, offsets, and DIONE. * A **Spot Swap Module** forked from PancakeSwap that enables fast, simple token swaps for liquidity providers and traders. Together, these engines create a seamless trading environment. Traders can speculate or hedge, liquidity providers can earn yield, and token holders benefit from the revenue that flows through the system. ### Core Innovations * **Synthetic Carbon Credits On-Chain**: tokenizing offsets and credits as synthetic assets to make a $4T+ fragmented market liquid and accessible. * **Hybrid Trading Model**: combining spot swaps with perpetuals to give traders more flexibility. * **AI-Enhanced Liquidity**: enabling automated strategies and adaptive market-making alongside human traders. * **Green Revenue Flywheel**: rewarding AMARA token holders with a share of fees, aligning DeFi growth with sustainable finance. ### Industry Play Carbon markets are projected to exceed $2.4 trillion by 2027, yet access remains fragmented and illiquid. Amara is positioned as the first DeFi gateway to this market, offering tools, exposure, and liquidity for retail and institutional players. With AI-driven liquidity working alongside human traders, Amara ensures its synthetic climate markets stay active, efficient, and resilient. --- # 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://docs.amara.exchange/amara-overview/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.