Aureus AI
  • Executive Summary
  • INTRODUCTION
    • Background
    • Vision & Mission
  • PROBLEM STATEMENT
    • Challenges in DeFi Automation
    • Fragmented Agent Marketplaces
  • Solution Overview
    • Aureus AI Platform
    • Key Features
  • Aureus AI Platform Details
    • Custom AI Agents
    • AI Chat Agent
    • AI Agent Certification & Validation
    • One-Stop AI Agent Marketplace
    • Instant AI Agent Creation & No-Code Customization
    • MCP Server Overview
  • Tokenomics
    • Aureus Token ($AUREUS) Utility
    • Token Distribution & Allocation
    • Revenue Model Integration with Tokenomics
    • Long-Term Vision for $AUREUS
  • Technology Architecture
    • Blockchain Integration
    • AI and Machine Learning
  • Business Model
    • Revenue Streams
    • Subscription Model for AI Agent Creation
    • AI Agent Marketplace & Revenue Sharing
    • Partnerships & Collaborations
    • Summary
    • Final Thoughts
  • Roadmap
    • Phase 1
    • Phase 2
    • Phase 3
    • Phase 4
    • Phase 5
    • Summary
    • Final Thoughts
  • Appendices
    • Glossary of Terms
    • Technical Specifications
    • Legal Considerations
    • Final Thoughts
  • Socials
    • Website
    • X (Formerly Twitter)
    • Telegram
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  1. Aureus AI Platform Details

AI Chat Agent

Overview

The AI Chat Agent is an intelligent assistant that brings a conversational interface to the Aureus AI platform. Users can chat directly with the agent to analyze token data, interpret market conditions, and issue structured trade commands in plain English.

This makes Aureus AI approachable even for users unfamiliar with DeFi interfaces or parameter-based configurations.


Key Capabilities

  • Market Queries: Ask questions like:

    • “What tokens are trending today?”

    • “Show me my current asset distribution.”

    • “Is ETH a good buy right now?”

  • Command-Based Trade Execution: Issue structured instructions in natural language, such as:

    • “Buy 0.5 ETH if the price dips 10%.”

    • “Sell all positions if BTC drops 5%.”

  • Multi-Function Routing via MCP: The chat agent parses each message and maps it to structured functions:

    • Text: “Buy ETH if it drops 10%”

    • Maps to: getTokenPrice → compare price → call walletExecute

  • Integrated Intelligence: Backed by large language models (LLMs), the chat agent can handle:

    • Contextual memory

    • Logic interpretation

    • Tool chaining (i.e., one command → multiple actions)


Agent Logic Execution (Behind the Scenes)

  1. User types a message.

  2. The system parses intent, extracts key actions and parameters.

  3. The agent uses the MCP router to:

    • Call price tools

    • Verify account/wallet balances

    • Execute trade with fallback logic (e.g., slippage protection)

  4. The result is sent back in a conversational format.


Use Cases

  • Beginner Traders: No setup needed — just chat and execute.

  • Advanced Users: Issue compound commands and automate sequences.

  • Onboarding: Users can learn DeFi logic through conversations before switching to Custom AI Agents.


Access Model

  • All users have basic access to the Chat Agent

  • Higher tiers unlock more advanced command execution and additional datasets/tools (e.g., token screening, DEX volume trends)

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Last updated 6 days ago