# Introduction Awaken is a decentralized finance (DeFi) platform deployed on ELF mainnet, providing decentralized exchange and lending services. Conventional DeFi platforms mainly focus on a single financial service—exchange or lending. However, emerging market data and relevant analyses have revealed that only a small portion of the total liquidity supplied to the platform could be effectively utilized to generate profits for liquidity providers while the rest of the liquidity inflows remained as idle assets most of the time. The low efficiency of asset utilization has led to an increasing opportunity cost for liquidity providers and, consequently, reduced their investment motivation. To tackle this issue, Awaken juxtaposes exchange with lending services, utilizing the idle assets from exchange to develop the lending market. Comprising decentralized exchange driven by the “automated market maker” (AMM) algorithm and over-collateralized lending protocol (now available on testnet), Awaken distinguishes itself by optimizing the allocation of asset inflows, maximizing the efficiency of assets utilization, and, therefore, furthest increasing the return on investment of liquidity providers to compensate for the impermanent losses potentially faced by them. Meanwhile, Awaken provides a generous rewarding program, the Dividend Pool (now available on testnet), to build an inclusive DeFi ecosystem that benefits all participants on the platform.\ \ \ \&#xNAN;**\*Hint: In the following docs, topics with（*****testnet）***** are not avaliable for interacting now, but it will come soon, but you can try the funtcion on the testnet of Awaken Finance.** --- # 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.awaken.finance/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.