The Subnet 42 scoring system evaluates miner performance by analyzing telemetry data collected from their TEE (Trusted Execution Environment) workers. This scoring mechanism is designed to reward miners that successfully process X/Twitter data collection tasks and web scraping, while penalizing those with errors or failed operations.
Telemetry Data Sources: Each registered TEE worker periodically reports telemetry data that includes:
Telemetry Data Collection
For each node, the system:
Key Performance Metrics
The scoring system evaluates:
Kurtosis Weighting
A custom kurtosis function weights top performers more heavily in the final scoring calculations.
Score Combination
The final score incorporates:
Nodes with balanced performance across metrics receive higher scores, while uneven performance results in moderate scoring.
Validation Process
The system performs these checks:
Weight Application
The validated scores are then:
Maintain High Uptime
Keep your TEE worker running continuously to avoid service interruptions and restarts
Reduce Errors
Minimize authentication failures, rate limits, and other operational errors
Optimize Success Rates
Focus on achieving consistent success with X and web scraping operations
Balance Metrics
Aim for strong performance across all metrics rather than excelling in just one area
Monitor Performance
Regularly check telemetry data to identify and address potential issues early
The calculate_weights
method in WeightsManager:
Process Telemetry Data
Analyzes changes in miner performance metrics over time using delta-based calculations
Extract & Normalize
Standardizes raw metrics into comparable values across different data types
Apply Weighting
Uses kurtosis weighting to balance consistency with peak performance
Calculate Scores
Combines weighted metrics into comprehensive performance scores
Generate Weights
Converts final scores into network weight allocations for rewards
The Subnet 42 scoring system implements a fair and transparent approach to miner rewards. By combining:
The system creates balanced incentives that encourage both consistent reliability and performance excellence in web and social data collection.
The Subnet 42 scoring system evaluates miner performance by analyzing telemetry data collected from their TEE (Trusted Execution Environment) workers. This scoring mechanism is designed to reward miners that successfully process X/Twitter data collection tasks and web scraping, while penalizing those with errors or failed operations.
Telemetry Data Sources: Each registered TEE worker periodically reports telemetry data that includes:
Telemetry Data Collection
For each node, the system:
Key Performance Metrics
The scoring system evaluates:
Kurtosis Weighting
A custom kurtosis function weights top performers more heavily in the final scoring calculations.
Score Combination
The final score incorporates:
Nodes with balanced performance across metrics receive higher scores, while uneven performance results in moderate scoring.
Validation Process
The system performs these checks:
Weight Application
The validated scores are then:
Maintain High Uptime
Keep your TEE worker running continuously to avoid service interruptions and restarts
Reduce Errors
Minimize authentication failures, rate limits, and other operational errors
Optimize Success Rates
Focus on achieving consistent success with X and web scraping operations
Balance Metrics
Aim for strong performance across all metrics rather than excelling in just one area
Monitor Performance
Regularly check telemetry data to identify and address potential issues early
The calculate_weights
method in WeightsManager:
Process Telemetry Data
Analyzes changes in miner performance metrics over time using delta-based calculations
Extract & Normalize
Standardizes raw metrics into comparable values across different data types
Apply Weighting
Uses kurtosis weighting to balance consistency with peak performance
Calculate Scores
Combines weighted metrics into comprehensive performance scores
Generate Weights
Converts final scores into network weight allocations for rewards
The Subnet 42 scoring system implements a fair and transparent approach to miner rewards. By combining:
The system creates balanced incentives that encourage both consistent reliability and performance excellence in web and social data collection.