NeuroTensor Docs
  • 🧠What is NeuroTensor and how does it work?
  • Overview
    • 🧬NeuroTensor: Revolutionizing Blockchain with AI-Driven Data Transmission
    • 🔁Introduction to the NeuroTensor Ecosystem
    • 🔌Main Core
    • 🔭NeuroTensor: An Innovative Approach to Blockchain Integration
  • Additional Information
    • 📎Important Links
  • 🦾Guide to AI-Driven Smart Contract Automation
    • AI Bot Configuration
    • Use of $NTR Tokens in Automation
    • Automation in DeFi Yield Farming
    • Ensuring Security and Verification
    • Conclusion: Insights and Practical Applications
    • Disclaimer
  • 🕹️Advanced AI-Powered Gaming Solutions
    • AI-Driven Gaming Automation
    • Continuous Monitoring and In-Game Event Activation
    • Data Transmission and In-Game Execution
    • Use of $NTR Tokens in Gaming Automation
    • Automating In-Game Purchases
    • Enhancing Security and Fair Play
    • Benefits and Conclusion
    • Disclaimer
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  1. Guide to AI-Driven Smart Contract Automation

AI Bot Configuration

Mechanics:

  1. Setup:

    • User Interface: Users access a sophisticated dashboard to configure AI bots. This dashboard allows specifying conditions, setting parameters, and defining the sequence of actions for the AI bots.

    • Condition Specification: Users input specific conditions that the bot will monitor. These conditions can include market prices, trading volumes, transaction counts, or other blockchain events. The conditions are defined using a combination of preset options and custom inputs.

    • Sequence Definition: Users define a multi-step sequence of actions for the bot to execute once the specified conditions are met. These actions can include multiple transactions, data transmissions, or smart contract interactions.

  2. Programming:

    • Script Creation: Users create scripts using a simple programming language or a graphical interface to define the bot’s behavior. The programming environment supports conditional logic, loops, and functions to handle complex operations.

    • Integration with Smart Contracts: Bots are linked to specific smart contracts on the EVM network. This involves defining the smart contract addresses and the methods the bots will call.

Example Code:

// Define the interface for interacting with the smart contract
interface IExampleContract {
    function executeAction(uint256 amount) external;
}

// Bot configuration example
contract NeuroBotConfig {
    address public exampleContractAddress;
    IExampleContract exampleContract;

    mapping(address => uint256) public thresholds;
    uint256 public currentMarketValue;

    constructor(address _exampleContractAddress) {
        exampleContractAddress = _exampleContractAddress;
        exampleContract = IExampleContract(_exampleContractAddress);
    }

    // Function to configure the bot
    function configureBot(uint256 threshold) external {
        // Logic to configure the bot with the specified threshold
        // Store the threshold for later use
        thresholds[msg.sender] = threshold;
    }

    // Function to trigger the bot
    function triggerBot(uint256 amount) external {
        // Ensure conditions are met
        require(checkConditions(), "Conditions not met");

        // Execute the action on the smart contract
        exampleContract.executeAction(amount);
    }

    function checkConditions() internal view returns (bool) {
        // Logic to check conditions
        // Retrieve stored threshold and compare with current value
        return currentMarketValue > thresholds[msg.sender];
    }
}

Continuous Event Monitoring and Activation

Mechanics:

  1. Monitoring:

    • Continuous Monitoring: The AI bot continuously monitors specified conditions using off-chain oracles or on-chain data feeds. Off-chain oracles provide external data such as market prices, while on-chain data feeds supply information about blockchain events.

    • Event Listeners: The bot sets up event listeners that react to specific triggers. These listeners are configured to capture events like price changes, transaction counts, and other blockchain activities in real-time.

  2. Activation:

    • Event Detection: When the specified conditions are met, the bot activates. The activation process involves verifying that the conditions are truly met and readying the bot to perform its tasks.

    • Data Transmission: The bot packages and sends the necessary data to the smart contract. This data includes all required parameters for the contract methods that will be invoked.

Example Code:

// Bot activation example
function activateBot(uint256 marketPrice) external {
    // Check if the market price meets the threshold
    if (marketPrice > thresholds[msg.sender]) {
        // Trigger the bot to execute the multi-step process
        triggerBot(marketPrice);
    }
}

Data Packaging and Transmission

Mechanics:

  1. Sending Data:

    • Data Packaging: The bot packages necessary data for transmission. This includes encoding the data in a format that the smart contract can interpret.

    • ChannelHash Utilization: Data is sent to a specific channelHash linked to the smart contract. The channelHash acts as an address for data transmission within the blockchain network.

  2. Execution:

    • Smart Contract Interaction: The smart contract receives the data and executes the predefined actions. The contract methods are invoked with the data provided by the bot, allowing for the execution of complex sequences.

Example Code:

// Data transmission and execution example
function transmitData(uint256 data) external {
    // Send data to the smart contract via channelHash
    bytes32 channelHash = keccak256(abi.encodePacked(data));
    // Execute actions based on received data
    exampleContract.executeAction(data);
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Last updated 1 year ago

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