Track World Chain gas prices and network activity in real time.
Copy a ready-to-use example and pull World Chain gas metrics directly into your tooling.
curl -sS -X POST https://api-worldchain-mainnet.n.dwellir.com/<API_Keys_Are_Not_Made_for_Bots> \-H "Content-Type: application/json" \-d '{"jsonrpc":"2.0","id":1,"method":"eth_gasPrice","params":[]}'
const response = await fetch('https://api-worldchain-mainnet.n.dwellir.com/<API_Keys_Are_Not_Made_for_Bots>', {method: 'POST',headers: { 'Content-Type': 'application/json' },body: JSON.stringify({jsonrpc: '2.0',id: 1,method: 'eth_gasPrice',params: []})});const { result } = await response.json();console.log(`Gas price: ${parseInt(result, 16) / 1e9} gwei`);
import requestsDWELLIR_RPC = 'https://api-worldchain-mainnet.n.dwellir.com/<API_Keys_Are_Not_Made_for_Bots>'payload = {'jsonrpc': '2.0','id': 1,'method': 'eth_gasPrice','params': []}resp = requests.post(DWELLIR_RPC, json=payload)data = resp.json()print(f"Gas price: {int(data['result'], 16) / 1e9} gwei")
import { JsonRpcProvider } from 'ethers';const provider = new JsonRpcProvider('https://api-worldchain-mainnet.n.dwellir.com/<API_Keys_Are_Not_Made_for_Bots>');const feeData = await provider.getFeeData();console.log('Gas price', Number(feeData.gasPrice) / 1e9, 'gwei');console.log('Max priority fee', Number(feeData.maxPriorityFeePerGas) / 1e9, 'gwei');
const Web3 = require('web3');const web3 = new Web3('https://api-worldchain-mainnet.n.dwellir.com/<API_Keys_Are_Not_Made_for_Bots>');const gasPrice = await web3.eth.getGasPrice();console.log('Gas price', web3.utils.fromWei(gasPrice, 'gwei'), 'gwei');
Reference endpoints, guides, and examples.
Learn moreProvision an API key and call your first method.
Get startedGas measures the computational work needed to execute transactions on World Chain. Monitoring real-time fees helps you schedule activity when congestion and costs are lower.
Use the live tracker for base and priority fees, then plug those values into the code samples below to automate alerts or fee ceilings in your own tooling.
Snapshots are calculated from recent validator-ready blocks. Short spikes in demand can still occur, so refresh the tracker or query the APIs before sending critical transactions.
Fees usually dip when network demand falls—overnight UTC and weekends for most ecosystems. Tracking congestion levels lets you catch those windows quickly.
Favour compact data structures, minimise storage writes, batch operations, and emit events instead of storing non-critical data to reduce per-transaction costs.
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