Near is one of the well-established public chains that I have been focusing on recently. After @ NEARProtocol established the strategic direction of "Intention Launchpad", there have been subtle changes in the data on the chain. According to Defillama data, the growth rate of Near intention trading has significantly accelerated in recent times, with a cumulative trading volume exceeding 70 million US dollars in the past 7 days. Based on the current situation, Near already has the conditions to incubate Alpha level Dapps. I believe that this potential Alpha phenomenon level protocol needs to meet three conditions: 1. Narrative has a certain degree of innovation; 2/Deep integration with Near AI intent layer infrastructure; 3/Strong support from the Near Foundation. After in-depth research on the Near ecosystem, I found that @ intellex_xyz is a perfect fit for the Alpha I am looking for. <Condition 1: Narrative Innovation> @Intelliex_xyz talked about a narrative of AI Agents' cross chain interoperability. At present, there is a serious fragmentation problem among different AI agents: there are significant differences in language models, data patterns, and underlying technical architectures, and the lack of common interoperability standards exacerbates the fragmentation problem. @Intelliex_xyz emerged in this context, providing an interoperability infrastructure layer for AI Agents across different chains, achieving seamless and secure cross chain connections of AI Agents. In other words, @ intellex_xyz to AI Agents is equivalent to IBC to cross chain interoperability. IBC solves the problem of inter chain liquidity fragmentation, while @ intellex_xyz solves the fragmentation problem between different AI agents. <Condition 2: Deep Integration with Near AI Intent Layer> Based on the comprehensive AI underlying infrastructure of @ NEARProtocol, @ intellex_xyz can achieve cross chain permanent identity&shared memory, adaptive contracts (ASCs), decentralized federated learning, agent relationship management (ARM) and other application scenarios. Specifically, it is difficult for AI agents to maintain continuity across different on chain identities. Intellex's cross chain permanent identity enables AI agents to retain and share their interaction history, learning experience, and reputation data; Decentralized federated learning can enable seamless collaboration between different AI agents to train AI models, fully leveraging the advantages of collective learning, and so on. <Condition 3: Strong support from Near Foundation> @Intelliex_xyz is one of the first six protocols launched on the official Intent based Launchpad platform of @ NEARProtocol, with explicit support from the Near Foundation. It can be said that it is a project born with a golden spoon in its mouth. Given that @ intellex_xyz is about to launch TGE, I specifically examined the empowerment of the protocol native token ITLX: ITLX is not limited to governance tokens, but rather a practical token that deeply integrates the supply and demand sides of the Intellex architecture. From a supply side perspective, AI Agents under the Intellex architecture need to stake ITLX to participate in interoperability; On the demand side, B/C end users need to pay ITLX to use the services provided by AI Agents to meet their actual needs. @If NEARProtocol wants to achieve the revival of public chains in this market, it is imperative to support a phenomenal dapp. Next, we can look forward to @ intellex_xyz opening this traffic door for Near. Done.