Base Chain Address Classification Dashboard
Overview
Welcome to this comprehensive Base Chain address analysis dashboard. This dashboard provides advanced classification and segmentation of Base blockchain addresses to distinguish between legitimate users and automated bot activity. By analyzing over 30 behavioral metrics across transaction patterns, timing, and activity distribution on the Base ecosystem over the last 30 days, our system provides accurate insights into recent address legitimacy and user behavior within the Base ecosystem.
How Address Classification Works
Our classification system employs a multi-dimensional scoring approach that evaluates addresses across three key categories:
Primary Classification Categories
Human Classifications:
Verified Human - Addresses with strong legitimacy indicators (70+ legitimacy score) and minimal bot characteristics (≤30 bot score)
Likely Human - High probability of human operation with good legitimacy patterns (60+ legitimacy, ≤40 bot score)
Probable Human - Moderate human indicators with balanced scoring (50+ legitimacy, ≤50 bot score)
Bot Classifications:
Volume Bot - Addresses exhibiting high-frequency, automated transaction patterns with minimal timing variation
DAU Bot - Addresses designed to artificially inflate Daily Active User metrics through systematic single-transaction days
Hybrid Bot - Addresses combining both volume and DAU manipulation strategies
Confirmed Bot - Clear automated behavior with high confidence (65+ bot score)
Probable Bot - Strong bot indicators requiring filtering (50+ bot score)
Possible Bot - Moderate bot characteristics needing review (35+ bot score)
Uncertain Categories:
Uncertain/Needs Review - Addresses with conflicting signals requiring manual evaluation
Likely Human - Default classification for addresses not fitting other categories
Scoring Methodology
Volume Bot Detection (0-100 Points)
Identifies high-frequency automated trading through:
Transaction volume thresholds (up to 30 points)
Timing consistency patterns (up to 25 points)
Destination diversity analysis (up to 20 points)
Transaction frequency ratios (up to 15 points)
Minimum timing intervals (up to 10 points)
DAU Bot Detection (0-100+ Points)
Detects artificial user engagement inflation via:
Single-transaction day frequency (up to 50 points)
Consistent timing patterns (20 points)
Regular activity gaps (20 points)
Extended low-activity streaks (30 points)
Coordinated creation clusters (15 points)
Gas price uniformity (15 points)
Limited destination patterns (20 points)
Legitimacy Score (0-100 Points)
Measures human-like behavior through:
Account maturity indicators (up to 25 points)
Transaction diversity patterns (up to 20 points)
Natural timing variations (up to 15 points)
Irregular activity patterns (up to 15 points)
Reasonable transaction frequency (up to 10 points)
Gas price sensitivity (up to 10 points)
Weekly activity distribution (up to 5 points)
Dashboard Features
1. Human/Bot Segregation
Comprehensive analysis separating legitimate users from automated accounts with detailed confidence metrics and filtering recommendations.
2. User Segmentation
Advanced categorization of legitimate users based on activity patterns, transaction behavior, and engagement levels to identify different user personas.
3. Bot Segmentation
Detailed classification of bot types including volume manipulators, DAU inflators, and hybrid operations with specific behavioral signatures.
4. Wallet Evaluation Tool
Individual wallet analysis allowing users to input any address for detailed behavioral assessment, legitimacy scoring, and classification insights.
Filtering Recommendations
KEEP - Addresses classified as legitimate users or probable humans
REMOVE - Confirmed or probable bots requiring filtering from analyses
REVIEW - Uncertain cases requiring manual evaluation or additional data
Data Scope
Analysis covers the most recent 30 days of Base Chain transaction data from the base.core.fact_transactions
table, focusing on addresses with meaningful activity (50+ transactions or 3+ active days) to ensure statistical significance in classification accuracy within the Base network ecosystem.
This dashboard empowers data-driven decision making for Base Chain analytics, DeFi protocols operating on Base, and research initiatives requiring accurate human/bot distinction in Base network on-chain activity.
