/v1/estimate_gas_price - Aptos

Example code for the /v1/estimate_gas_price json-rpc method. Сomplete guide on how to use /v1/estimate_gas_price json-rpc in GetBlock.io Web3 documentation.

This endpoint gets the estimated gas price for executing a transaction in the Aptos blockchain network.

Supported Network

• Mainnet

Parameter

None

Request

Base URL

https://go.getblock.io/<ACCESS_TOKEN>

Example(cURL)*

curl --location 'https://go.getblock.io/<ACCESS_TOKEN>/v1/estimate_gas_price'

Response Example

{
    "deprioritized_gas_estimate": 100,
    "gas_estimate": 100,
    "prioritized_gas_estimate": 150
}

Response parameter definition

Field	Type	Description
deprioritized_gas_estimate	String	Lower gas price estimate — slower inclusion, suitable for non-urgent txns.
gas_estimate	String	Standard recommended gas price (balanced option).
prioritized_gas_estimate	String	Higher gas price estimate — ensures faster transaction processing.

Use Cases

This method can be used for:

• Wallets can auto-suggest gas fees based on the user's urgency.

• dApps can provide a “fast/normal/slow” fee slider to users.

• Developers can programmatically ensure transactions won’t fail due to low gas.

• Cost optimisation for batch transactions.

Code example

Node(axios)

const axios = require('axios');

let config = {
  method: 'get',
  maxBodyLength: Infinity,
  url: 'https://go.getblock.io/<ACCESS_TOKEN>/v1/estimate_gas_price',
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

Python(Request)

import requests

url = "https://go.getblock.io/<ACCESS_TOKEN>/v1/estimate_gas_price"
response = requests.request("GET", url, headers=headers, data=payload)

print(response.text)

Error handling

Status Code	Error Message	Cause
403	Forbidden	Missing or invalid <ACCESS_TOKEN>.
500	Internal server error	Node or network failure when estimating gas.

Integration with Web3

By integrating /v1/estimate_gas_price into dApp, developers can:

• Provide real-time fee estimation inside wallets and dApps.

• Improve transaction confirmation rates by suggesting optimal gas.

• Enhance user experience with clear trade-offs (fast vs cheap).

• Avoid failed transactions due to underpriced gas.