eth_blobBaseFee | Hyperliquid EVM

Documentation Index

Fetch the complete documentation index at: https://docs.chainstack.com/llms.txt

Use this file to discover all available pages before exploring further.

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Parameters

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Response

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Response structure

• result — The current blob base fee as a hexadecimal string (in wei units)

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Blob base fee interpretation

• Blob base fees are returned in wei as hexadecimal strings
• Convert to decimal for calculations and human-readable amounts
• Multiply by the number of blobs to get total blob fee cost
• Add to regular transaction fees for complete cost estimation

• Calculate blob transaction costs before submission
• Monitor blob fee fluctuations for cost optimization
• Implement dynamic blob pricing strategies
• Optimize blob transaction timing based on fee levels

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Usage example

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Basic implementation

// Get current blob base fee
const getBlobBaseFee = async () => {
  const response = await fetch('https://hyperliquid-mainnet.core.chainstack.com/YOUR_ENDPOINT/evm', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      jsonrpc: '2.0',
      method: 'eth_blobBaseFee',
      params: [],
      id: 1
    })
  });
  
  const data = await response.json();
  const feeHex = data.result;
  const feeWei = BigInt(feeHex);
  const feeGwei = Number(feeWei) / 1e9;
  
  return {
    hex: feeHex,
    wei: feeWei.toString(),
    gwei: feeGwei
  };
};

// Calculate blob transaction cost
const calculateBlobCost = async (blobCount) => {
  try {
    const { wei: baseFee } = await getBlobBaseFee();
    const totalCost = BigInt(baseFee) * BigInt(blobCount);
    
    return {
      baseFeeWei: baseFee,
      blobCount: blobCount,
      totalCostWei: totalCost.toString(),
      totalCostGwei: Number(totalCost) / 1e9
    };
  } catch (error) {
    console.error('Error calculating blob cost:', error);
    return null;
  }
};

// Monitor blob fee changes
const monitorBlobFees = async (callback) => {
  let lastFee = null;
  
  const checkFeeChange = async () => {
    try {
      const { gwei: currentFee } = await getBlobBaseFee();
      
      if (lastFee !== null && currentFee !== lastFee) {
        const change = currentFee - lastFee;
        const percentChange = ((change / lastFee) * 100).toFixed(2);
        callback({
          current: currentFee,
          previous: lastFee,
          change: change,
          percentChange: percentChange
        });
      }
      
      lastFee = currentFee;
    } catch (error) {
      console.error('Error monitoring blob fees:', error);
    }
  };
  
  // Check every 12 seconds (approximate block time)
  setInterval(checkFeeChange, 12000);
};

// Usage
calculateBlobCost(4).then(cost => {
  console.log(`Cost for 4 blobs: ${cost.totalCostGwei} Gwei`);
});

monitorBlobFees((feeData) => {
  console.log(`Blob fee changed: ${feeData.current} Gwei (${feeData.percentChange}%)`);
});

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Example request

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"eth_blobBaseFee","params":[],"id":1}' \
  https://hyperliquid-mainnet.core.chainstack.com/4f8d8f4040bdacd1577bff8058438274/evm

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Use cases

• Blob transaction cost estimation: Calculate the cost of blob transactions before submission
• Layer 2 scaling solutions: Implement efficient data availability solutions using blobs
• Rollup optimizations: Optimize rollup data submission costs and timing
• Fee market analysis: Analyze blob fee market dynamics and pricing trends
• Cost optimization: Implement strategies to minimize blob transaction costs
• DeFi protocols: Build DeFi applications that utilize blob data for cost-effective operations
• Data availability services: Provide data availability services with accurate pricing
• MEV strategies: Implement MEV strategies that account for blob costs and timing
• Cross-chain bridges: Optimize cross-chain data transfer costs using blob transactions
• Oracle services: Provide cost-effective oracle data submission using blobs
• Batch processing: Optimize batch transaction processing with blob cost considerations
• Gaming applications: Implement blockchain gaming with cost-effective blob data storage
• NFT platforms: Optimize NFT metadata and asset storage using blob transactions
• Social media platforms: Build decentralized social platforms with efficient blob storage
• File storage systems: Implement decentralized file storage with blob cost optimization
• Analytics platforms: Track blob fee trends and provide market insights
• Automated trading: Implement trading strategies that consider blob fee fluctuations
• Infrastructure monitoring: Monitor blob fee changes for infrastructure cost planning
• Wallet applications: Display accurate blob transaction costs to users
• Developer tools: Build development tools that account for blob transaction costs
• Testing frameworks: Create testing frameworks that simulate blob fee scenarios
• Arbitrage opportunities: Identify arbitrage opportunities based on blob fee differentials
• Liquidity provision: Optimize liquidity provision strategies considering blob costs
• Governance systems: Implement governance systems with cost-effective blob data storage