📊 Implement Bridge Analytics Dashboard Integration

[mijinummi]

🧭 Overview

BridgeWise aggregates bridge data, but developers embedding the SDK currently lack visibility into usage and performance metrics.

This issue introduces a Bridge Analytics Dashboard Integration that exposes:

• Number of transfers per route
• Average settlement times
• Bridge success/failure rates
• Slippage statistics
• User activity insights

This enables developers to monitor BridgeWise usage and optimize UX.

---

🎯 Problem

• Developers cannot track which routes are most used.
• Performance issues may go undetected.
• No visibility into user behavior across bridges.
• Limited feedback reduces the ability to improve the dApp experience.

Without analytics, BridgeWise cannot provide actionable insights to its integrators.

---

💡 Proposed Solution

Integrate BridgeWise with a dashboard layer that collects and presents metrics including:

• Transfer counts per bridge and route
• Average fees and settlement times
• Reliability/failure rates
• Slippage statistics
• Trend charts for usage over time

Provide both SDK-level hooks and REST API endpoints for developers to consume metrics.

---

🛠 Scope of Work

1️⃣ Define Analytics Data Model

interface BridgeAnalytics {
  bridgeName: string;
  sourceChain: string;
  destinationChain: string;
  totalTransfers: number;
  successfulTransfers: number;
  failedTransfers: number;
  averageSettlementTimeMs: number;
  averageFee: number;
  averageSlippagePercent: number;
  lastUpdated: Date;
}

• Store aggregated statistics
• Track per route and per bridge

---

2️⃣ Implement Data Collection

• Hook into:

  • useBridgeExecution() for transactions
  • Reliability and slippage modules

• Update metrics in real-time or batched intervals

• Store in database (or local storage for client-only analytics)

---

3️⃣ Expose Metrics API

• REST endpoint: GET /api/v1/bridge-analytics
• Return metrics per bridge and per route
• Support filtering by time range

---

4️⃣ Dashboard Visualization (Optional SDK Demo)

• Simple React dashboard component

• Display:

  • Usage charts
  • Top-performing bridges
  • Slippage and failure trends

• Supports light/dark theme integration

---

5️⃣ Integration with Hooks

• Create useBridgeAnalytics() hook

• Return:

  • analyticsData
  • loading
  • error

• SSR-safe for Next.js integration

---

📊 Expected Outcome

• Developers gain actionable insights
• Ability to optimize bridge selection and UX
• Visibility into failed or high-slippage routes
• Enhanced adoption due to data-driven decisions

---

✅ Acceptance Criteria

• Analytics data model defined and implemented
• Data collection integrated with execution and reliability modules
• REST API endpoint available and functional
• useBridgeAnalytics() hook implemented
• Dashboard demo component available
• SSR-safe implementation for Next.js
• Aggregated metrics are accurate and up-to-date
• Unit tests for data collection, API, and hooks
• Documentation updated with usage examples

---

📈 Measurable Impact

• Increased developer visibility into BridgeWise performance
• Faster detection of problematic bridges/routes
• Improved decision-making for dApp UX optimization
• Reduced failed transfer complaints

---

🧪 Testing Requirements

• Simulate multiple transactions per bridge
• Validate aggregated metrics calculations
• Test REST API response structure
• Test hook returns correct metrics
• Confirm dashboard displays accurate charts
• Verify SSR-safe rendering in Next.js

---

📚 Documentation Requirements

• Add “Analytics Dashboard Integration” section in README
• Provide API response examples
• Document useBridgeAnalytics() hook
• Include dashboard usage example in demo app

---

[drips-wave]

This issue has been added to the Stellar Wave Program and is worth 200 Points.

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[System625]

@System625 has applied to work on this issue as part of the Stellar Wave Program's 2nd wave.

Hi there! I'd love to take on issue #61.

I'm a frontend developer experienced with React, Next.js, TypeScript, and Tailwind CSS. I've built analytics dashboards for Web3/DeFi projects, including transfer metrics, performance charts, real-time hooks, API integrations, SSR-safe components, and responsive data visualizations with libraries like Recharts or Chart.js.

My approach:

• Define and implement the BridgeAnalytics interface (per route/bridge aggregation).
• Enhance data collection: Hook into useBridgeExecution() and reliability/slippage modules to track transfers, success/failure, settlement times, fees, slippage; aggregate in real-time or batched (e.g., via context or external DB if needed).
• Create useBridgeAnalytics() hook: Fetch/return aggregated data, loading, error states; SSR-safe with proper hydration.
• Build REST API: /api/v1/bridge-analytics endpoint with time-range filters, returning typed metrics.
• Develop optional demo dashboard component: Responsive layout with charts (transfer counts, avg times/fees/slippage, success rates, trends over time), top bridges table, light/dark mode support using lucide-react icons and Tailwind.
• Add loading skeletons, error handling, and unit tests for hook/API/collection logic.
• Update README with usage examples, API docs, and hook/dashboard demo.

This delivers full analytics visibility, actionable insights, and SSR-safe integration meeting all acceptance criteria.

PR will close #61 with screenshots (dashboard views on mobile/desktop, charts, API response, hook usage), tests, and docs updates.

ETA: within 24 hours.

Looking forward to your feedback!
Best,
Olamiposi(System625)

ℹ️ Repo Maintainers: To accept this application, review their application or assign @System625 to this issue.

[mftee]

@mftee has applied to work on this issue as part of the Stellar Wave Program's 2nd wave.

I am a fullstack software developer with multiple years experience in the industry. I can deliver on this issue in a few hours.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @mftee to this issue.