Intelligence Layer for Validators
Go beyond raw blockchain data with predictive analytics and risk insights
5-Factor Scoring
Mechanism design, utility, team quality, economics, and network health
Comprehensive scoring algorithm that evaluates subnets across five critical dimensions, helping you identify high-quality registration opportunities.
Validator Analytics
vtrust rankings, stake distribution, and competitive analysis
Track validator performance, compare against competitors, and analyze stake concentration with real-time vtrust and dividend data.
Weight Consensus
Dividend-weighted consensus algorithm for optimal weight setting
On-demand consensus calculation weighted by validator dividends and vtrust, with support for sub-subnet mechanisms.
Economic Data
Alpha prices, liquidity metrics, and dividend history
Track alpha-to-TAO exchange rates, pool liquidity, and historical dividend earnings across all subnets and validators.
Risk Analysis
Weight copying detection and network health monitoring
Identify validators engaging in weight copying behavior using mechanical rhythm analysis and track subnet centralization metrics.
Team Quality Metrics
GitHub activity, commit frequency, and development health
Evaluate subnet team quality through GitHub repository analysis including commit activity, contributor engagement, and code freshness.