Port3's technical system consists of three layers: data aggregation layer, application layer, and analysis layer. Through the deep integration of blockchain and AI, it achieves secure data flow and value release.
1. Data Aggregation Layer:
As a bridge connecting Web2 and Web3, Port3 integrates data from 12 Web2 platforms, including Twitter and Discord, as well as on-chain data from 9 public chains such as Ethereum and BNB Chain. Through standardized processing, this data is transformed into quantifiable user profiles covering multiple indicators such as social engagement, on-chain transaction behavior, and community participation. For example, the frequency of user speech on Discord and transaction records on Uniswap can be real-time synchronized to the data layer through Port3's API interface.
2. Application Layer:
The core product SoQuest is a benchmark for Web3 task platforms. Project parties can initiate tasks such as airdrops and AMAs through SoQuest, and users can earn token or NFT rewards by completing tasks. As of May 2025, SoQuest has served over 4,800 projects, with daily active users exceeding 30,000 and total rewards distributed exceeding $350,000. Its innovative QaaS (Quest as a Service) model allows project parties to embed the task system with just a few lines of code, significantly lowering operational thresholds. Projects like Poolz Finance and Magic Square have doubled their user growth through this feature.
3. Analysis Layer:
SoGraph, as a data analysis tool, combines Lunarcrush’s social monitoring and Nansen’s on-chain tracking capabilities to provide users with real-time indicators such as market sentiment and KOL influence. For instance, developers can use SoGraph to analyze the Twitter discussion heat of specific tokens, combined with changes in on-chain holdings, to formulate precise marketing strategies. The Rankit tool launched in April 2025 further generates user credit scores through AI models, helping DeFi platforms like Aave reduce default risk by 30%.
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