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    • Introduction
    • Genesis
    • Problem
    • Mission and Vision
    • Core Contributors
  • Solution
    • Overview
    • Architecture
    • Roadmap
  • Tokenomics
    • Dual Wager Mechanism
    • Agentic Wager
    • Human Wager
    • Token Distribution
  • Platform
    • Overview
    • Terminal
    • Automated Betting
    • Staking
    • Other features (coming soon)
  • Research and development
    • Coming Soon
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  • Agentic Wager Pool
  • Fee Structure
  • Pool Mechanics
  • Strategy Implementation
  • Key Benefits
  • Why It Matters
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  1. Tokenomics

Agentic Wager

How agentic wagers work

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Last updated 13 days ago

The foundation of our ecosystem, where participants stake $DKING and deposit USDC into pools managed entirely by our autonomous agent. Leveraging Score's computer vision and ML models, these pools execute quantitative strategies automatically, requiring no human intervention or sports knowledge.

Agentic Wager Pool

  • DKING Stakers: Users stake $DKING to access betting opportunities:

    • USDC Deposits: Stake $1 worth of DKING to unlock $10 USDC deposit capability

    • Automated Returns: Participate in quantitative betting strategies

    • Performance Rewards: Share in pool profits through staking rewards

    • Token Burns: Benefit from deflationary mechanics through fee burns

Fee Structure

  • Management Fee (2%):

    • 1% to DAO Treasury: Sustains ecosystem development

    • 1% to $DKING Burn: Creates deflationary pressure

  • Performance Fee (20%):

    • 80% to Stakers: Direct profit sharing

    • 10% to $TAO/dTAO: The Agent will be able to pay for ML services on Bittensor autonomously

    • 10% to DAO Treasury: Long-term development

Pool Mechanics

  • Deposit Flow:

    • Users buy and stake $DKING

    • Unlock USDC deposit capability

    • Participate in automated betting strategies

  • Return Distribution:

    • 80% of returns to participants

    • Processed with 98% of deposit efficiency

Strategy Implementation

  • Automated Execution:

    • Computer vision-powered analysis

    • Quantitative model predictions

    • Risk-managed position sizing

    • Real-time performance monitoring

Key Benefits

  • For Stakers: Access institutional-grade betting strategies while earning rewards

  • For the Protocol: Sustainable fee structure supporting long-term development

  • For the Ecosystem: Automated value creation through sophisticated sports intelligence

Why It Matters

  • Creates a self-sustaining ecosystem where sophisticated betting strategies are accessible to everyone

  • Aligns stakeholder interests through transparent fee structure and automated execution

  • Establishes a new DeFi primitive combining sports intelligence with decentralized finance

Through this elegant mechanism, DKING transforms complex sports intelligence into an automated value engine, where every match creates opportunities for both individual participants and the broader ecosystem.