AI-Powered Dynamic Tagging System
System Components
Data Collection Layer: Gathers on-chain behavior (transactions, holdings, interactions)
Analytics Layer: Uses machine learning models to assess behavior
Inference Engine: Produces credit scores and identity tags
Application Interface Layer: Provides APIs for querying and verification
Core Algorithms
Address clustering & anomaly detection
Gradient Boosted Decision Trees for creditworthiness
Random Forests for multi-dimensional scoring
Graph Neural Networks for relationship analysis
Reinforcement learning for adaptive modeling
Privacy and Security
Zero-knowledge proofs for privacy-preserving scoring
Data anonymization before storage
Differential privacy during analysis
Decentralized AI training and inference
Last updated