Port3's innovative practices reflect 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 of "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 filter out opportunists through social activities, resulting in a 5.8-fold 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 the engine to process real-time social data streams at the level of 100,000, enabling its modular structure:
Data Cleaning: AI filters out fake accounts (identification accuracy rate of 97.3%)
Dynamic Weighting: Adjusts the weight of social factors based on project types (e.g., DeFi focuses on governance participation, NFT emphasizes creative dissemination)
Cross-Chain Compatibility: Credit data mapping has connected to 23 mainstream public chains
This design, which injects social intelligence into the blockchain infrastructure, is giving rise to a new SocialFi economic model—according to its test network data, the LTV (Lifetime Value) of DAPP users integrated with Port3 has increased by 300%, marking the official entry of Web3 value distribution into the era of behavioral mining