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📈 Implement Historical Bridge Performance Metrics #67

@mijinummi

Description

@mijinummi

🧭 Overview

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:


🛠 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

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