BridgeWise

BridgeWise is an open-source UI aggregator for multi-chain transfers. It provides developers with embeddable React components to compare fees and speeds across Stellar and EVM bridges. BridgeWise simplifies the cross-chain UX, allowing users to bridge assets without leaving your dApp.

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Install / Use

npx skills add MDTechLabs/BridgeWise

Installs into whichever agent you are using.

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README

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Description

Nest framework TypeScript starter repository.

Transaction History

BridgeWise UI SDK includes a multi-chain transaction history system for Stellar and EVM bridge flows.

Usage example:

import { useTransactionHistory, BridgeHistory } from '@bridgewise/ui-components';

function HistoryPanel({ account }: { account: string }) {
  const transactions = useTransactionHistory(account, {
    filter: { status: 'confirmed' },
    sortOrder: 'desc',
  }).transactions;

  return (
    <>
      <BridgeHistory account={account} />
      <div>Total transactions: {transactions.length}</div>
    </>
  );
}

You can configure local-only storage (default) or optional backend tracking via TransactionProvider.

Multi-Bridge Liquidity Monitoring

BridgeWise UI SDK includes liquidity monitoring across bridges for route viability checks.

import { useBridgeLiquidity } from '@bridgewise/ui-components';

const { liquidity, refreshLiquidity } = useBridgeLiquidity({
  token: 'USDC',
  sourceChain: 'Ethereum',
  destinationChain: 'Stellar',
  refreshIntervalMs: 30000,
});

BridgeCompare uses this data to prioritize high-liquidity routes and warn on low-liquidity paths.

Next.js SSR Compatibility

BridgeWise UI components now support server-side rendering (SSR) with Next.js App Router and Pages Router.

Basic Usage

import { BridgeStatus, ClientOnly } from '@bridgewise/ui-components';

// Safe for SSR - renders skeleton during server-side render
export default function BridgePage() {
  return (
    <ClientOnly fallback={<div>Loading bridge...</div>}>
      <BridgeStatus chainId={1} />
    </ClientOnly>
  );
}

Next.js Dynamic Import

For maximum compatibility, use the Next.js adapter:

import { BridgeStatusDynamic, BridgeCompareDynamic } from '@bridgewise/next-adapter';

export default function BridgePage() {
  return (
    <div>
      <BridgeStatusDynamic chainId={1} />
      <BridgeCompareDynamic />
    </div>
  );
}

SSR Utilities

Use built-in utilities for browser-only code:

import { useIsClient, safeStorage, createBrowserGuard } from '@bridgewise/ui-components';

function MyComponent() {
  const isClient = useIsClient();
  
  if (!isClient) return <div>Server rendering...</div>;
  
  const stored = safeStorage.get('user-prefs', '{}');
  return <div>Client ready: {stored}</div>;
}

Stellar Route Congestion Monitoring

BridgeWise monitors route congestion across Stellar bridge providers to detect latency spikes, elevated failure rates, and queue buildup.

Features

Real-time congestion metrics collection (latency, failure rate, queue depth, throughput, pending transactions)
Spike detection based on historical baseline using configurable multipliers
Threshold-based status classification: normal → elevated → congested → severe
Alert generation with severity levels: low | medium | high | critical
Automatic alert resolution when metrics recover
Event-driven architecture via EventEmitter ('alert', 'status-change' events)

Usage

import { StellarCongestionMonitor } from '@bridgewise/monitoring';

const monitor = new StellarCongestionMonitor({
  checkIntervalMs: 30_000,
  timeoutMs: 5_000,
  historyWindowSize: 100,
  spikeMultiplier: 2.0,
  minDataPoints: 5,
  thresholds: {
    latencyMs: 5_000,
    failureRate: 0.3,
    queueDepth: 100,
    throughput: 10,
    pendingTransactions: 500,
  },
  onAlert: (alert) => console.log('Congestion alert:', alert),
  onStatusChange: (status) => console.log('Status change:', status),
  onError: (error) => console.error('Probe error:', error),
});

monitor.registerRoute('stellar-bridge-1', async () => {
  // Return current congestion metrics for the route
  return {
    latencyMs: 1200,
    failureRate: 0.05,
    queueDepth: 20,
    throughput: 45,
    pendingTransactions: 80,
  };
});

monitor.startMonitoring();

Refer to src/monitoring/congestion/stellar/ for the full implementation.

Project setup

$ npm install

Compile and run the project

# development
$ npm run start

# watch mode
$ npm run start:dev

# production mode
$ npm run start:prod

Run tests

# unit tests
$ npm run test

# e2e tests
$ npm run test:e2e

# test coverage
$ npm run test:cov

Deployment

When you're ready to deploy your NestJS application to production, there are some key steps you can take to ensure it runs as efficiently as possible. Check out the deployment documentation for more information.

If you are looking for a cloud-based platform to deploy your NestJS application, check out Mau, our official platform for deploying NestJS applications on AWS. Mau makes deployment straightforward and fast, requiring just a few simple steps:

$ npm install -g @nestjs/mau
$ mau deploy

With Mau, you can deploy your application in just a few clicks, allowing you to focus on building features rather than managing infrastructure.

Resources

Check out a few resources that may come in handy when working with NestJS:

Visit the NestJS Documentation to learn more about the framework.
For questions and support, please visit our Discord channel.
To dive deeper and get more hands-on experience, check out our official video courses.
Deploy your application to AWS with the help of NestJS Mau in just a few clicks.
Visualize your application graph and interact with the NestJS application in real-time using NestJS Devtools.
Need help with your project (part-time to full-time)? Check out our official enterprise support.
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Support

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