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BridgeWise provides real-time quotes and transfers, but developers and dApp teams need historical performance insights to optimize bridge selection.
This issue introduces Historical Bridge Performance Metrics, tracking:
Bridge reliability over time
Average settlement times
Slippage trends
Fee patterns per route
Success/failure rates
This enables smarter route ranking, analytics dashboards, and proactive UX improvements.
🎯 Problem
Developers currently cannot evaluate which bridges perform best over time.
Slippage, fees, and failures may fluctuate, but historical trends are unavailable.
Decisions are based solely on real-time data, which may be suboptimal.
Lack of historical insights reduces trust and predictability.
Without historical metrics, BridgeWise cannot provide data-driven recommendations.
💡 Proposed Solution
Build a metrics collection and aggregation system that:
Stores per-bridge, per-route historical performance data
Aggregates data over configurable intervals (daily, weekly, monthly)
Exposes hooks and REST API endpoints for developers
Integrates with analytics dashboard (Issue #15) and ranking engine (Issue #5)
Supports visualization in SDK demo dashboard
🛠 Scope of Work
1️⃣ Define Historical Metrics Data Model
interface BridgePerformanceMetric {
bridgeName: string;
sourceChain: string;
destinationChain: string;
timeInterval: 'daily' | 'weekly' | 'monthly';
totalTransfers: number;
successfulTransfers: number;
failedTransfers: number;
averageSettlementTimeMs: number;
averageFee: number;
averageSlippagePercent: number;
timestamp: Date;
}
Standardized for all supported chains
Compatible with analytics and ranking engine
2️⃣ Implement Data Aggregation Pipeline
Aggregate transaction history (Issue #19)
Calculate:
Average settlement time
Average fees
Average slippage
Success/failure rates
Store aggregated results in database or local storage
3️⃣ Hooks and API Exposure
useBridgePerformanceMetrics() hook for React
REST API endpoint: GET /api/v1/bridge-performance-metrics
Supports filtering by bridge, route, and time interval
4️⃣ Dashboard Integration
Update demo analytics dashboard to show historical trends
Include charts for:
Slippage trends
Fee changes
Success/failure ratios
Support light/dark theme integration
5️⃣ Error Handling & Fallbacks
Handle missing or incomplete historical data gracefully
Provide empty state or fallback metrics
SSR-safe implementation for Next.js
📊 Expected Outcome
Developers can analyze bridge performance historically
Data-driven decisions for route selection and UX improvements
Improved reliability and user trust
Enhanced analytics dashboard functionality
✅ Acceptance Criteria
Historical metrics data model implemented
Data aggregation pipeline functional
useBridgePerformanceMetrics() hook implemented
REST API endpoint available
Dashboard visualizations implemented
Filterable by bridge, route, and interval
SSR-safe for Next.js
Unit tests covering aggregation, hook, and API
Documentation updated with usage examples
📈 Measurable Impact
Smarter route selection for developers
Increased user confidence in cross-chain transfers
Reduced reliance on real-time-only metrics
Enhanced analytics capabilities
🧪 Testing Requirements
Simulate historical transactions across multiple bridges and chains
Validate aggregation calculations
Test hook and API outputs for different time intervals
Confirm dashboard charts display correct historical trends
Test SSR-safe rendering and empty/fallback states
📚 Documentation Requirements
Add “Historical Bridge Performance Metrics” section to README
Provide hook usage example:
const metrics = useBridgePerformanceMetrics({ bridge: "StellarBridge", interval: "daily" });
Document API endpoint structure
Include visualization examples in demo dashboard
Activity
Closes #67