Skip to content

HunterTheAgent/litepaper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Hunter AI Agent Litepaper

Abstract

Hunter is an AI Agent designed to help users identify airdrop opportunities, optimize farming strategies, gather on-chain insights across blockchain networks, as well as gather X insights. The agent leverages large language models, social media monitoring, and blockchain analytics to provide actionable intelligence to various communication platform. By using the Hunter AI Agent, users can gain insights into emerging airdrops, discover profitable farming opportunities, and optimize their engagement with the broader crypto space.


About the Hunter AI Agent

The Hunter AI Agent is a decentralized AI tool that actively searches for opportunities in the blockchain ecosystem. It combines the power of data scraping, machine learning algorithms, and real-time market analysis to support its users in various ways:

  • Social Media Monitoring: Integrated with platforms like X (Twitter), the agent identifies key trends, influencers, and emerging projects, adding social intelligence to its analytics toolkit.
  • Airdrop Identification: The agent detects and tracks upcoming airdrops from various projects, providing detailed insights into eligibility and participation strategies.
  • Farming Strategy Optimization: By analyzing on-chain data and identifying profitable liquidity pools and staking opportunities, the agent may help users maximize their passive income potential.
  • Data Analytics: Hunter processes large volumes of on-chain data to provide users with insights into token movements, market trends, and arbitrage opportunities, helping them make informed decisions.

$DRPXBT Incentives

The $DRPXBT token serves as the key utility asset for the Hunter AI ecosystem. Holders of $DRPXBT are granted access to premium features and incentives designed to enhance their experience:

  • Access to Hunter AI Terminal: Token holders can access the Hunter AI Terminal, which provides institutional-grade market data, detailed airdrop insights, and farming strategy recommendations.

Team and Development

Hunter AI is developed and maintained by a team of skilled individuals. Main developer is doxxed and all members of the team are doxxed to each other. The core team focuses on continuous improvement, ensuring the agent remains at the forefront of technological innovation.

  • Vesting Schedule: The development team will be subject to a vesting schedule to ensure long-term commitment to the success of the project. This ensures the team remains incentivized and aligned with the community’s interests.
  • Multisig Wallet for Governance: A portion of the tokens from the development account will be moved to a team-managed multisig wallet. This wallet will be responsible for managing buybacks, burns, marketing funds and other community-driven initiatives.

Workflow Mechanism of the Agent

Hunter AI is designed for efficiency and accuracy in its operations. The agent follows a structured workflow to gather and process data, ensuring continuous improvement and adaptation to emerging trends.

  1. Monitor and Detect:

    • The agent continuously monitors platforms like X (Twitter) and other social media channels for news on airdrops, token releases, and upcoming opportunities.
  2. Read from Data Pipelines:

    • Hunter AI can query internal data pipelines to fetch relevant information about token movements, transaction volumes, and other key on-chain data points.
  3. Extract Key Information:

    • The agent identifies important details such as project names, event dates, and other valuable information from the detected data.
  4. Perform Targeted Searches:

    • The agent conducts targeted searches on specific social media accounts, crypto influencers, and projects to build intelligence on airdrop farming strategies.
  5. Fallback Data Gathering:

    • If the targeted searches do not yield sufficient results, the agent automatically expands the search scope to broader web searches or skips to continue monitoring.
  6. Analyze and Correlate Data:

    • The agent analyzes the gathered data, comparing it to historical trends and market patterns to detect anomalies or potential opportunities.
  7. Report and Update:

    • Findings are compiled into actionable reports and shared on social media platforms like X to inform the community and drive participation.
  8. Continuous Monitoring and Adaptation:

    • The agent constantly adapts its search parameters and strategies based on new data, ensuring continuous effectiveness and relevance.
  9. Interact with Community:

    • When prompted by the community, the agent actively engages with users to provide additional information, answer questions, and refine its strategies based on feedback.

Roadmap

Phase 1: Core Development and Basic Data Integration

  • Build More GAME Functions: Enhance the cognitive core of the agent by integrating more functions from the GAME framework to improve its decision-making abilities.
  • Private Dataset Integration: Extend the agent’s capabilities to fetch and analyze data refreshed at a weekly rate.
  • Social Media Integration: Continue to improve integration with platforms like X (Twitter) to provide real-time updates and insights to users.
  • Parallel Research with Eliza/EMP Stacks: Run parallel research streams with the Eliza and EMP stacks to improve Hunter AI’s cognitive abilities, allowing it to better predict airdrop and farming opportunities.
  • Alpha Terminal: Release an alpha version of the terminal to gather feedback from few community members.

Phase 2: Research and Improvement

  • On-chain Data Integration: Extend the agent’s capabilities to fetch and analyze in real time more comprehensive on-chain data for accurate farming strategy optimization.
  • Algorithm Optimization: Fine-tune the agent’s data processing and decision-making algorithms based on testing and community feedback.
  • Open-Source Contributions: Contribute to the broader ecosystem by releasing components of Hunter AI’s codebase and inviting community collaboration.
  • Public agent.json and game-sdk Fork: Release the agent’s configuration file (agent.json) and a fork of the game-sdk, allowing developers to customize and extend the agent’s functionality.
  • Beta Terminal: Release a beta version of the terminal with a high token gate.

Phase 3: Terminal

  • Complete Terminal Features: Finalize the Hunter AI Terminal, providing access to all features for token holders. Reduce token gate.
  • Community-Driven Development: Open the platform for community-driven features, allowing users to suggest improvements and contribute to the development process.

Phase 4: Continuous Improvement and Scaling

  • Scalability Enhancements: Improve the scalability of Hunter AI to handle larger volumes of data and provide faster insights.
  • Advanced Farming and Airdrop Strategies: The agent is able to write threads on farming strategies.
  • Global Expansion: Expand the agent’s capabilities to cover additional blockchains and platforms.

Phase 5: On-chain Interactions

  • Farming Airdrops: The agent is able to perform on-chain transactions on the strategies it develops, actively not just reporting on how to farm airdrops, but actually doing it.
  • Get an airdrop, buy back $drpxbt: Any airdrop that the agent receives will be used to buy-back $drpxbt and reward holders.

Conclusion

The Hunter AI Agent is an innovative solution for crypto enthusiasts seeking to maximize their returns through intelligent airdrop hunting and farming strategies. By holding $DRPXBT, users gain exclusive access to the Hunter AI Terminal, while contributing to the sustainability of the project through buybacks and burns. With a strong development team, clear roadmap, and community-driven approach, Hunter AI is poised to lead the way in decentralized finance and blockchain intelligence.


About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published