Monitoring Ethereum Transactions from a Gnosis Address

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Using the TokentX Gnosis Scan API to retrieve transaction data from an ERC-20 token, you may want to track all coin movements in and out of that address. In this article, we will find out how to do that.

Gnosis Scan API Response Format

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The Gnosis Scan API provides a list of transactions in JSON format. Each operation is described as follows:

{
"tx_hash": "hash",
"block_number": 12345,
"from_address": "address1",
"to_address": "Address2",
"value": number (wei),
"gas_price": number,
"gas_used": number,
"timestamp": timestamp,
"data": {
// data properties
}
}

Tracking Gnosis Address Transactions

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To track all coin movements in and out of a Gnosis address, you can do the following:

• Extract transaction hash: parse the JSON response from the Gnosis Scan API and extract the “tx_hash” property, which contains the hexadecimal hash of each transaction.

• Store transactions in a database or cache: Store the extracted transaction hash in a database (e.g. SQLite) or in a caching layer (e.g. Redis). This will allow you to efficiently scan all transactions related to a Gnosis address.

• Use a data structure to track coins: Create a data structure, such as an array of objects or a hash map, where each key is a “tx_hash” and the corresponding value is another object containing information about the coin movement.

Python Code Example

import sqlite3
after entering import Dict









Set up a database connection
conn = sqlite3.connect('transaction_database.db')
cursor = conn.cursor()

Function to extract transaction hash from API response
def get_transaction_hashes(api_response):
return [tx_hash for tx_hash in api_response]

Function to store transactions in a database or cache
def store_transactions(transaction_hashes, database_name='transactions.db'):
with open(db_name, 'w') as f:
tx_hash in Transaction_hashes field:

Insert into database or cache using simple key-value method
cursor.execute(f'INSERT INTO operations (tx_hash) VALUES ({tx_hash})')
connection.commit()

Function to track transactions from a Gnosis address
def track_transactions_gnosis_address(api_response, db_name='transactions.db'):
transaction_hashes = get_transaction_hashes(api_response)
store_transactions(transaction_hashes, database_name)

Usage example:
api_response = {
"result": [
{
"tx_hash": "0x1234567890abcdef",
"block_number": 12345,
"from_address": "address1",
"to_address": "Address 2"
},
{
"tx_hash": "0x23456789abcdef0",
"block_number": 67890,
"from_address": "address3",
"to_address": "address4"
}
]
}
track_transactions_gnosis_address(API_response, 'transactions.db')

Benefits and Considerations

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• The “tx_hash” property provides a unique identifier for each transaction.

• By storing transactions in a database or cache, you can efficiently retrieve all transactions associated with a Gnosis address.

• This method requires some overhead in the data structure to store and manage transactions.

However, consider the following:

• The number of transactions may affect database or cache performance.

• Additional storage space is required to store the transaction hash.

• Ensure that proper error handling and logging mechanisms are in place.