The innovative practices of Port3 embody a breakthrough in the Web3 data infrastructure paradigm, and its core value can be summarized in three levels:
1. Enhancing Data Dimensions
Breaking through the limitations of traditional on-chain data, creating a dual-credit model for "social behavior data" on-chain footprints. By analyzing 16 types of social signals such as Twitter interactions, Discord contributions, and Lens content dissemination through AI, a holographic portrait of user digital identity is constructed.
2. Value Capture Reconstruction
The Rankit scoring system creatively transforms social capital into programmable assets. Typical cases include:
Dynamic Collateral Rate: Loan agreements based on Rankit scores reduce the collateral rate for high-trust users by 40%.
Airdrop Optimization: Meme projects utilize social activity to filter out opportunists, resulting in a 5.8 times increase in actual user income.
Agent Prediction: In DAO governance, AI predicts the probability of proposals through social graphs, achieving an accuracy rate of 82%.
3. Protocol Layer Innovation
BQL (Blockchain Query Language) built by Port3 allows engines to process social data streams at the scale of 100,000 in real-time, enabling its modular structure:
Data Cleaning: AI filters out fake accounts (identification accuracy rate of 97.3%).
Dynamic Weighting: Adjusting the weight of social factors based on project type (e.g., DeFi emphasizes governance participation, NFT emphasizes creative dissemination).
Cross-Chain Compatibility: Credit data mapping has been integrated into 23 mainstream public chains.
This design of injecting social intelligence into the blockchain layer is giving rise to a new SocialFi economic model—based on its test network data, the LTV (Lifetime Value) of DAPP users integrating Port3 has increased by 300%, marking the official entrance of Web3 value distribution into the era of behavioral mining.
