STRAKET AI
  • πŸ˜ƒIntroduction
    • Overview & Vision
    • Automation Imperative
    • Features & Capabilities
  • πŸ•Tokenomics
    • $MRST Distribution
  • $MRST Utilities
  • πŸ€–Agent Creation
    • Getting Started
  • Customizing the Agent
  • Testing & Simulation
  • πŸͺΆEcosystem Features
    • Partnership Integrations
  • Agent Creator Economy
  • Community Support
  • πŸ—ΊοΈRoadmap
    • Roadmap
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  1. Introduction

Features & Capabilities

Certified AI Agent Marketplace

  • Verified agents across categories: Scalping, Market Making, Arbitrage, etc.

  • Backtest reports, security audits, and on-chain logs

  • Review system for performance feedback

No-Code Agent Builder

  • Visual interface for setting triggers, actions, risk rules

  • Choose or upload AI models (LLMs, neural nets, quant logic)

  • Test and preview with historical and real-time data

Diverse Agent Types

  • Scalping Bots

  • Portfolio Rebalancers

  • News/Sentiment Reactors

  • Token Snipers for IDOs

  • Custom-built composites

AI Model Integration

  • Pre-trained models provided by Straket Labs

  • Upload and monetize your own model (PyTorch, TensorFlow, etc.)

  • Adaptive logic with live learning capability (in select agents)

Multi-Chain Support

  • Built on Ethereum, expanding to Solana, Arbitrum, and Polygon

  • Agents interact with DEXs like Uniswap, Raydium, and Sushi

  • SDK allows external dApps to integrate agent logic

Security

  • Smart contract audits

  • Encrypted model storage

  • Agent certification and reputation scoring

  • Real-time anomaly detection and kill-switch options

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