Recently, the cooperation map of @ UnifaiNetwork has been frequently updated, and it has reached cooperation relationships with a number of star projects such as Sentient, Huma, Chainbase, MyShell, KiteAI incubated by Paypal, decentralized AI comprehensive platform 0G, ZK project Brevis, which is widely discussed across the network, and even the currently popular prediction market leader Polymarket. So, what exactly did UnifAI do right? Why can it be a common choice for these top projects? As a tool that I have been using for the past six months, let me share my personal opinion: 1) Why are so many top projects collaborating with UnifAI? The answer may lie in the extensive accumulation of work it has done for AI agents to call blockchain data, conduct deep analysis, and preprocessing. For example, the depth and processing of on chain data may seem transparent, but it is noisy, structurally chaotic, and has poor real-time performance. UnifAI has done a lot of "dirty data" cleaning work, providing some structured data that can be directly used by AI big models. This set of data preprocessing capabilities is actually quite difficult. Specifically, to achieve unified standardization of cross chain price sources, it is necessary to deeply aggregate various liquidity pools in real-time, extract necessary governance voting and protocol upgrade events, and so on. This is the foundation of UnifAI being recognized by these top projects. Behind the seemingly dirty and tiring work, UnifAI is equivalent to providing a "data platform" for the AI industry. Most AI Agent projects are stuck in the "data access" stage, either with poor data quality, high latency, or inconsistent standards. UnifAI precisely solves this most fundamental but difficult problem. 2) If data preprocessing solves the problem of feeding data sources to AI, but in order for AI agents to "do well", they still need to possess a second core capability: the discovery and combination of dynamic tools. It's not complicated to say, traditional AI agents can only call preset contract interfaces, such as Uniswap's swap and Aave's deposit. But the DeFi market is dynamic, with new protocols constantly emerging and optimal strategies constantly changing. What shall I do? UnifAI breaks away from the realm of pure aggregators, allowing AI agents to discover new DeFi protocols and tools in real-time, and combine the capabilities of different protocols based on market conditions, while continuously optimizing policy parameters through historical execution results. Simply put, it means that AI agents can no longer mechanically "execute instructions", but can "design strategies" like professional quantitative teams. In order to facilitate AI project parties to call these services, UnifAI encapsulates these tools into a unified API, allowing developers to access the entire DeFi ecosystem by simply interfacing with one interface.. The above. Finally, let me share some personal information. If a researcher wants to maintain their sensitivity and thinking ability in the rapidly iterating blockchain industry, an information aggregation and processing platform like UnifAI is indeed helpful, at least saving a lot of time in organizing and filtering information. (Please find attached the invitation link. Interested friends can register and play:) https://chat.unifai.network?r=jwndrykh ）