Port3's innovative practices reflect a breakthrough in the Web3 data infrastructure paradigm, and its core value can be summarized in three levels:

1. Enhanced Data Dimensions

Breaking 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 users' digital identities is constructed.

2. Value Capture Reconstruction

The Rankit scoring system creatively transforms social capital into programmable assets. Typical cases include:

Dynamic Collateral Rates: Loan agreements based on Rankit scores reduce the collateral rates of high-trust users by 40%.

Airdrop Optimization: Meme projects use social activity to filter out opportunists, 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 social data streams of up to 100,000 in real-time, enabling its modular structure:

Data Cleaning: AI filters out fake accounts (accuracy rate of 97.3%).

Dynamic Weighting: Adjusting the weight of social factors based on project type (e.g., DeFi focuses on governance participation, NFTs emphasize creative dissemination).

Cross-Chain Compatibility: Credit data mapping has been integrated with 23 mainstream public chains.

This design that injects social intelligence into the underlying blockchain is giving rise to a new SocialFi economic model—according to its test network data, the LTV (lifetime value) of DAPP users integrating Port3 has increased by 300%, marking the official entry of Web3 value distribution into the era of behavior mining.