eth_estimateGas - MegaETH RPC Method
Estimate gas required for transactions on MegaETH. Essential for optimizing transaction costs for high-frequency trading, real-time gaming, instant payments, and latency-sensitive applications.
Estimates the gas necessary to execute a transaction on MegaETH.
Why MegaETH? Build on the first real-time blockchain with sub-millisecond latency and 100,000+ TPS with sub-millisecond transaction streaming with 100,000+ sustained TPS and full EVM compatibility.
Use Cases
The eth_estimateGas method is essential for:
- Transaction preparation - Set appropriate gas limits
- Cost estimation - Calculate transaction costs before sending
- Error detection - Identify reverts before spending gas
- DeFi operations - Estimate costs for high-frequency trading, real-time gaming, instant payments, and latency-sensitive applications
Gas Limit Restriction
Gas Limit on MegaETH
On MegaETH, eth_estimateGas requests are subject to a maximum gas limit of 10,000,000. Complex transactions exceeding this limit should be optimized or restructured.
For transactions requiring more than 10M gas:
// Split complex operations into multiple transactions
const operation1 = await contract.step1();
await operation1.wait();
const operation2 = await contract.step2();
await operation2.wait();Code Examples
Error Handling
| Error Code | Message | Description |
|---|---|---|
| -32000 | Execution reverted | Transaction would fail |
| -32602 | Invalid params | Invalid transaction parameters |
Tip: If estimation fails, the transaction would likely revert if sent.
Related Methods
eth_gasPrice- Get current gas priceeth_sendRawTransaction- Send transaction
eth_getTransactionReceipt
Get transaction receipt with status and logs on MegaETH. Essential for verifying transaction execution for high-frequency trading, real-time gaming, instant payments, and latency-sensitive applications.
eth_gasPrice
Get current gas price on MegaETH. Essential for transaction cost estimation for high-frequency trading, real-time gaming, instant payments, and latency-sensitive applications.