BNB Chain Testnet Experiments with Trading Automation Using Three AI Agents

In the BNB Chain Testnet, an experiment was conducted using three AI agents to automate transaction sending, validation, and wallet monitoring. The experiment utilized 0.01 test BNB. The first agent, named 'Transaction Sender Agent', sends 0.01 test BNB between wallets via HTTP POST requests. The second agent, 'Transaction Validator Agent', checks the success of the transaction through the BscScan API. The third agent, 'Wallet Monitor Agent', continuously monitors the wallet's deposit and withdrawal history. All three agents were written in Python and utilize uAgents and Web3.py. The chain ID for the BNB Chain Testnet is 97. This structure was designed to separate the management of transaction sending, success verification, and wallet activity monitoring into individual agents. However, no error handling methods for actual operational environments were presented. To expand the structure implemented in the testnet to actual asset management, security verification and key management are necessary. The BNB Chain is expanding its development tools for on-chain tasks of AI agents and supports agent development and deployment through the BNB Agent SDK and BNB Agent Studio. This experiment serves as a case of implementing a trading automation structure in the testnet and is not related to the launch of mainnet automation services.

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