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Token API

The Token API provides comprehensive programmatic access to token data on the Linea network. This API is designed for developers, builders and analysts who need detailed information about ERC-20 tokens and their activity on Linea.

Alpha Version

Linea's Token API is in alpha version and subject to breaking changes. We recommend using it for testing and development purposes only. We welcome your feedback on our Discord in the #developer-chat channel.

Key features​

Token data​

  • Complete list of available tokens on Linea
  • Detailed token metadata (name, symbol, decimals, logo)
  • Current and historical prices
  • Trading statistics (buy/sell counts)

Market analytics​

  • Most traded tokens in the last 24h
  • Top gainers and losers (price variation)
  • Recently bonded tokens
  • Price movement tracking

Use cases​

  • Automated trading bots
  • Token monitoring dashboards
  • Onchain data analysis
  • DeFi application integration
  • Wallet and transaction tracking

Data sources​

Data is collected and updated from multiple sources:

Primary sources​

Update frequencies​

  • Token detection and metadata: every two hours
  • Historical prices: hourly
  • Current prices: every five minutes

Usage examples​

Simple token price bot​

async function monitorPriceChange(contractAddress: string, threshold: number) {
  const BASE_URL = "https://token-api.devnet.linea.build";
  const { currentPrice: initialPrice } = await fetch(`${BASE_URL}/tokens/${contractAddress}`).then(r => r.json());

  setInterval(async () => {
    const { currentPrice } = await fetch(`${BASE_URL}/tokens/${contractAddress}`).then(r => r.json());
    const priceChange = (currentPrice - initialPrice) / initialPrice;

    if (Math.abs(priceChange) > threshold) {
      // Execute trading strategy
      console.log(`Price changed by ${priceChange}% - Trading signal`);
    }
  }, 60000); // Check every minute
}

Best practices​

  1. Rate limiting
  • Alpha version has strict rate limits per IP:
    • Two requests per second
    • 60 requests per minute
  • Cache static data
  • Implement backoff strategies
  1. Error handling
  • Check HTTP status codes
  • Implement retry with exponential backoff
  • Validate token addresses
  1. Performance and security
  • Use pagination for large lists
  • Use local caching when appropriate
  • Validate and sanitize all inputs