Statistics & Analytics Overview
Comprehensive guide to round performance metrics, statistical analysis, and success rate tracking API endpoints
📊 STATISTICS API
Statistics & Analytics
Real-time performance metrics, statistical analysis, and success rate tracking for auction rounds with comprehensive data visualization support.
Overview
The Statistics API provides essential analytics and metrics for auction round performance. Access token pricing data, statistical distributions, and success rates to build powerful dashboards, charts, and data-driven insights.
Key Features
💰
Price Metrics
Track token prices and sold amounts across all auction rounds
📈
Statistical Analysis
Min, max, and standard deviation metrics for round performance
🎯
Success Rates
Win rates and failure rates for comprehensive success tracking
Available Operations
Round Perform 1
Token price and sold amount metrics for all rounds
Round Perform 2
Statistical metrics including min, max, and standard deviation
Round Chance
Win rate and failed rate statistics for success tracking
Data Types
Core Statistics Types
RoundPerform1
roundNumberThe round identifier (integer)tokenPriceToken price during the round (float)soldAmountTotal tokens sold in round (float)RoundPerform2
roundNumberThe round identifier (integer)minMinimum value metric (float)maxMaximum value metric (float)stdStandard deviation (float)RoundChance
roundNumberThe round identifier (integer)winRatePercentage of successful outcomes (float)failedRatePercentage of failed outcomes (float)Common Use Cases
Analytics Dashboard
Build comprehensive dashboards showing round performance, token pricing trends, and statistical distributions
Data Visualization
Create charts and graphs using Chart.js, Recharts, or D3.js to visualize auction performance over time
Performance Tracking
Monitor success rates and identify trends in round outcomes for strategic decision making
Predictive Analysis
Use historical statistics and standard deviation data to forecast future round performance
Integration Flow
Typical Analytics Integration
📡
🔄
📊
⚡
Best Practices
⚡ Efficient Polling
Implement smart polling intervals (30-60 seconds) to keep statistics fresh without overwhelming the API
💾 Caching Strategy
Cache statistics data locally and only refresh when necessary to improve performance and reduce API calls
📊 Data Aggregation
Combine multiple statistic queries to build comprehensive analytics views with complete round performance data
🎯 Filtering & Sorting
Process and filter statistics client-side to show specific round ranges or highlight performance anomalies
📈 Visualization Libraries
Use Chart.js, Recharts, or Victory for responsive, accessible charts that work across devices
🔔 Change Detection
Implement diff checking to detect when statistics change and trigger UI updates only when needed
Chart Integration Examples
Popular Charting Libraries
Simple, flexible charts with canvas rendering
react-chartjs-2Composable React charts with SVG
rechartsModular, React Native compatible
victory