Execution Flow

This page outlines the full operational flow of the byData AI Agent, from data processing to the final stage where the AI-driven execution service is deployed for end-user interaction. Each phase involves specific components and validation mechanisms to ensure secure, optimized, and efficient AI execution within the byData ecosystem.

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byData AI Agent Execution Flow

1. ADA Framework

   • Entities Involved: Onchain Data Analytics Agent and DeFi Agents

   • Action:

     • Data Collection & Processing: the Data Connector gathers on-chain data from various blockchain sources, feeding real-time transactional and market insights into the system. The Onchain Data Analytics Agent processes and analyzes this information to extract key patterns, detect market opportunities, and generate data-driven trading signals.

     • AI-Driven Decision Making: the Agent LLM utilizes the structured data to formulate optimized execution strategies. By leveraging AI and machine learning models, it refines decision-making, ensuring the most effective transactions are built based on market conditions, liquidity availability, and risk assessments.

     • Transaction Construction & Execution: the Transaction Builder constructs, signs, and submits transactions to the blockchain. Once validated, these transactions are executed by DeFi Agents.

2. Onchain Data Analytics Agent

   • Entities Involved: Blockchains and End-Users.

   • Action:

     • The Onchain Data Analytics Agent retrieves real-time and historical blockchain data, including transaction histories and market activities. It then processes and structures this data to identify trends, assess risks, and generate actionable insights.

     • These insights are either provided to end-users for decision-making or automatically executed through AI-driven agents, optimizing DeFi operations and enhancing automation within the ecosystem.

3. DeFi Agents

   • Entities Involved: End-Users, Blockchains, byData Cloud Infrastructure, byData Big File System.

   • Action:

     • DeFi Agents aggregate and process data from multiple sources, including the ADA Framework, blockchain, and byData Cloud Infrastructure. Using this data, they execute predefined DeFi operations such as trading, lending, and multichain interactions.

     • Once transactions are completed, execution data is sent to the byData Big File System for retraining and optimization. This iterative process refines AI strategies, ensuring more efficient future executions. After optimization, the updated execution models are deployed back to the system for continuous improvement in user interactions and DeFi automation.

4. byData Cloud Infrastructure

   • Entities Involved: Onchain Data Analytics Agent, DeFi Agents, and byData Big File System.

   • Action:

     • As an integral component of byData Network, byData Cloud Infrastructure serves as the computational backbone for data aggregation, processing, and execution refinement. It acts as the primary layer where incoming data from on-chain and off-chain sources is collected, structured, and prepared for execution.

     • Upon receiving real-time blockchain data, transactional records, and external computational outputs, byData Cloud Infrastructure systematically aggregates, filters, and structures this information. By integrating newly acquired insights with existing datasets, it ensures data consistency, accuracy, and scalability before execution. This infrastructure also plays a key role in contextualizing and preparing execution data, ensuring that AI-powered processes have access to the most relevant and optimized datasets.

     • Once processed, the structured data is extracted and transferred to the byData Big Data File System for further optimization and validation. By facilitating continuous data synchronization and refinement, byData Cloud Infrastructure ensures that all execution-related data remains highly optimized, structured, and ready for decentralized AI-driven execution across the byData ecosystem.

5. byData Big Data File System

   • Entities Involved: Onchain Data Analytics Agent, DeFi Agents, and byData Cloud Infrastructure.

   • Action:

     • Also an essential part of byData Network, the byData Big Data File System serves as a decentralized execution data repository, facilitating continuous refinement and optimization of AI-driven transactions. Unlike traditional cloud-based storage, this system maintains a continuous feedback loop between byData Cloud Infrastructure, DeFi Agents, and Onchain Data Analytics Agent, ensuring real-time synchronization and decentralized execution processing.

     • All incoming data undergoes automated retraining and iterative refinement, leveraging Proof of Optimization (PoO) to validate and enhance execution models. This process ensures that AI-generated execution strategies remain efficient, scalable, and aligned with real-time DeFi demands, continuously improving decision-making and response accuracy.

     • Once optimized, validated execution data is reintegrated into the DeFi Agents and Onchain Data Analytics Agent, reinforcing decentralized automation, transaction validation, and seamless execution deployment across the network. This perpetual optimization mechanism not only enhances AI-driven DeFi execution efficiency but also preserves the decentralized integrity of the entire byData Network.