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Description
🧭 Overview
BridgeWise allows users to bridge assets across multiple chains, but choosing the optimal route can be complex due to:
- Varying fees
- Slippage
- Bridge reliability
- Network conditions
This issue introduces a Bridge Route Recommendation Engine that provides data-driven optimal route suggestions, improving UX and transfer success rates.
🎯 Problem
- Users must manually compare multiple routes, fees, and slippage
- Real-time conditions (network congestion, liquidity) make static ranking unreliable
- Developers embedding the SDK lack automated recommendation logic
- Incorrect route selection may lead to high fees, failed transactions, or poor UX
Without a recommendation engine, BridgeWise cannot fully guide users toward the best routes.
💡 Proposed Solution
Build a Bridge Route Recommendation Engine that:
- Considers dynamic fees (Issue Transaction State Tracking Service (“Heartbeat”) #16)
- Accounts for slippage and risk (Issue Rate Limiting & Abuse Protection #20)
- Incorporates historical bridge performance (Issue #21)
- Integrates with real-time quote refresh (Issue Transaction Validation & Pre-Flight Checks #17)
- Suggests the optimal bridge route to users
- Exposes hooks (
useBridgeRecommendation()) for developers
🛠 Scope of Work
1️⃣ Recommendation Algorithm
- Input:
- Source/destination chains and tokens
- Transfer amount
- Active account & network context
- Current network fees and slippage
- Historical bridge performance metrics
- Output:
- Ranked list of recommended bridge routes with score
- Detailed breakdown (fees, slippage, estimated time)
2️⃣ Hook Implementation
const { recommendedRoutes, refreshRecommendations, loading, errors } = useBridgeRecommendation({
sourceChain: "Ethereum",
destinationChain: "Stellar",
sourceToken: "USDC",
amount: 100,
});- Returns ranked routes
- Supports refresh and SSR-safe
- Integrates with headless mode (Logging & Audit Trail for Critical Actions #24)
3️⃣ Integration With Components
<BridgeCompare />displays top recommended routes<BridgeStatus />updates execution based on recommendation- Optional visual indicators for optimal route
4️⃣ Error Handling & Fallbacks
- Fallback to basic ranking by fee if metrics unavailable
- Handle incomplete data gracefully
- Provide structured errors for developers
📊 Expected Outcome
- Users receive automated, optimal bridge route recommendations
- Reduced failed or costly transfers
- Developers can embed SDK confidently for route optimization
- Ranking logic integrates dynamically with fees, slippage, and historical data
✅ Acceptance Criteria
- Recommendation algorithm implemented and tested
-
useBridgeRecommendation()hook available and SSR-safe - Integration with
<BridgeCompare />and<BridgeStatus /> - Dynamic fees, slippage, and historical metrics used in scoring
- Fallback behavior implemented for missing data
- Unit tests for algorithm and hook functionality
- Documentation updated with usage examples
📈 Measurable Impact
- Higher success rate for cross-chain transfers
- Reduced fees and slippage for end-users
- Developers gain automatic route optimization
- Enhanced UX and SDK adoption
🧪 Testing Requirements
- Simulate multiple routes with varying fees and slippage
- Verify recommended routes update dynamically with real-time conditions
- Test fallback logic when historical metrics or dynamic fees are unavailable
- Validate hook integration with headless mode and components
📚 Documentation Requirements
- Add “Bridge Route Recommendation” section in README
- Provide hook usage example:
const { recommendedRoutes, refreshRecommendations } = useBridgeRecommendation({
sourceChain: "Ethereum",
destinationChain: "Stellar",
sourceToken: "USDC",
amount: 100,
});- Document scoring logic, refresh behavior, and integration with components
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