Documentation
Everything you need to understand Wallexus and its zero-label AI approach
What is Wallexus?
Wallexus is a zero-label AI system designed to discover and map wallet behavior patterns on the blockchain without any human assumptions or predefined categories.
Unlike traditional wallet analytics that rely on labels like "whale," "retail," or "insider," Wallexus uses unsupervised machine learning to autonomously identify behavioral clusters based purely on on-chain transaction data.
Core Concepts
Zero-Label AI
Zero-label AI refers to machine learning systems that discover patterns without human-provided labels or categories. Wallexus analyzes raw transaction behavior and autonomously groups similar wallets into behavioral clusters.
Behavioral Clusters
Behavioral clusters are groups of wallets that exhibit similar on-chain patterns. These clusters emerge naturally from the data without predetermined definitions, revealing hidden market structures and wallet relationships.
Cluster Universe
The Cluster Universe is a living visualization of all behavioral clusters, continuously evolving as new patterns emerge and existing patterns shift. It provides a macro view of wallet behavior across the blockchain ecosystem.
Methodology
How Wallexus Works
On-Chain Data Ingestion
Wallexus continuously monitors blockchain transactions, extracting behavioral features such as transaction frequency, timing patterns, value distributions, and interaction networks.
Unsupervised Pattern Extraction
Machine learning algorithms analyze behavioral features without human guidance, identifying statistical patterns and similarities between wallets based purely on their actions.
Autonomous Cluster Formation
Wallets with similar behavioral signatures are automatically grouped into clusters. These clusters represent distinct behavioral archetypes that emerge from the data itself.
Continuous Evolution
The cluster universe continuously adapts as wallet behaviors change, new patterns emerge, and market conditions evolve, providing real-time insights into behavioral shifts.
Use Cases
Market Research
Discover macro behavioral trends and market structure without relying on predefined wallet categories.
Protocol Analysis
Understand how different behavioral clusters interact with protocols and smart contracts.
Anomaly Detection
Identify unusual behavioral patterns that deviate from established cluster norms.
Academic Research
Study blockchain behavior patterns using unbiased, data-driven methodologies.
Design Philosophy
"When you remove labels, reality becomes visible."
Wallexus is built on the principle that human-defined categories introduce bias into data analysis. By removing labels and allowing patterns to emerge naturally, we can observe blockchain behavior as it truly exists.
This approach prioritizes observation over prediction, pattern discovery over classification, and empirical reality over human assumptions.