The AI social data layer developed by Port3 is focused on addressing the key issues facing the Web3 world: the challenge of on-chain identification and the highly fragmented and underutilized social data. The core value of this innovative solution is reflected in three aspects:

First, it achieves the aggregation and standardization of data, integrating user behavior data (including transaction records, social interactions, and community contributions) across different blockchains and platforms, and transforming it into structured, easily understandable social data through artificial intelligence technology, effectively breaking the limitations of data silos.

Secondly, AI technology plays a crucial role in this process, not only conducting data analysis but also focusing on uncovering the relationship networks and personal reputations among users. The system can identify real users, assess individual influence, and build precise user profiles (for example, labeling users as "seasoned DeFi participants" or "NFT art collectors"), thereby transforming raw data into information with commercial and social value.

Thirdly, the system conceptually supports user data sovereignty, allowing individuals to decide how to authorize the use of their own data. This provides strong foundational support for application scenarios such as reputation-based decentralized identity, precise user airdrops, personalized content recommendations, credit lending systems, and community governance, potentially giving rise to a series of innovative Web3 applications.

However, this system also faces many challenges: how to find a balance between openness and privacy protection; how to expand the coverage of data sources and improve the accuracy of AI models; and whether it can ultimately form an application ecosystem that truly utilizes these data to create user value.

In the long run, this project direction has considerable development potential. It aims to build a social network graph and credit scoring system in the Web3 environment, utilizing AI technology to unlock the potential value of on-chain social data. If substantial breakthroughs can be achieved in areas such as data acquisition, AI accuracy, privacy protection, and application ecosystem construction, it is expected to become an important component of Web3 infrastructure, helping users transition from passive "data providers" to empowered "data owners."