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BNB AI Hack – ​​Sponsor Challenge

BNB AI Hack – ​​Sponsor Challenge

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Challenge: APRO ATTPs – AI Agent Data Verifiability on BNB Chain Challenge

Prize Pool: 3000USDT in total (3 winners)

Challenge Description: As AI agents take on more complex roles in DeFi (DeFAI), GameFi (GameFAI), and SocialFi (SocialFAI), the need for secure, verifiable, and real-time data transfer has become critical. Malicious actors can manipulate agent communication, inject false data, or compromise decision-making. To solve this, ATTPs (AgentText Transfer Protocol Secure)—the first blockchain-powered AI data transfer protocol—provides an infrastructure for tamper-proof and privacy-preserving data exchange. By participating, teams will contribute to the next-generation AI data security standard on BNB Chain, strengthening the AI ecosystem with provable data integrity and decentralized verification.

This challenge invites developers to:

1️⃣ Build a Source Agent using the ATTPs SDK, enabling AI agents to securely transmit verifiable data.

2️⃣ Develop a Target Agent that consumes data from an ATTPs-integrated Source Agent, ensuring real-time and trustworthy data flow across AI ecosystems.

Submission Requirements:

🔹 GitHub repository with full documentation, code, deployment status, and product URL

🔹 Clear explanation of how the agent integrates ATTPs for security & verifiability

🔹 Demo video or working prototype (bonus for mainnet-ready submissions)

Judging Criteria:

⚡️ Technical Implementation (50%) – How well does the project leverage ATTPs SDK and BNB Chain infrastructure?

🔮 Innovation & Practicality (20%) – How impactful is the use case in AI-powered applications?

🏆 Security & Verifiability (10%) – How effectively does the solution ensure tamper-proof and verifiable AI data transfer?

🚀 BNB Chain Integration (10%) – How seamlessly does it enhance the AI ecosystem on BNB Chain?

Why Participate?

✅ Be among the first to pioneer blockchain-secured AI data transmission

✅ Gain exposure to top AI Agent frameworks like ElizaOS (ai16z) & Virtuals G.A.M.E.

✅ Eligible for future APRO validation node operator

Resources:

🔗 ATTPs Documentation https://docs.apro.com/attps

📄 ATTPs Whitepaper https://www.apro.com/attps.pdf

🔍 ATTPs Testnet Explorer http://attps-test.apro.com/

Timeline:

Challenge: AI-Driven Trading on BNB Chain.

Challenge Description: This challenge invites participants to develop AI agents that transform on-chain data into actionable trading strategies. Choose one of the following agents to build:

  1. On-Chain Data Agent: Focuses on efficiently storing, querying, and analyzing BNB Chain data using vector databases to identify trends and patterns (e.g., in NFTs or inscriptions).
  2. Investor Advisor Agent: Specializes in analyzing historical trading data and user risk profiles to generate personalized investment strategies.
  3. Execution Agent: Concentrates on automating the execution of trading strategies with a priority on speed, cost-efficiency (gas optimization), and security.

Main Objectives/Goals:

The core objective is to create intelligent AI agents for BNB Chain. Each agent has a distinct role:

  1. Data Handling (On-Chain Data Agent): Implement a system to effectively store, retrieve, and analyze BNB Chain on-chain data using vector databases (like pg_vector) to detect meaningful patterns.
  2. Investment Strategy Generation (Investor Advisor Agent): Develop an agent that can understand user trading behavior and risk tolerance to provide tailored investment recommendations.
  3. Automated Trading Execution (Execution Agent): Build an agent that can reliably and securely automate trading strategies, minimizing latency and gas fees.

Judging Criteria:

Each agent will be evaluated based on a combination of technical execution and commercial potential:

  • On-Chain Data Agent
    • Query Efficiency: Performance and cost-effectiveness of data retrieval.
    • AI-Driven Insights: Novelty and usefulness of patterns and analyses.
    • BNB Chain Compatibility: Integration quality and ease of adoption.
  • Investor Advisor Agent
    • Strategy Accuracy: Effectiveness of generated investment strategies.
    • Risk Assessment Precision: Ability to accurately assess and manage risk.
    • User Experience: Ease of use and intuitiveness for users.
  • Execution Agent
    • Transaction Success Rate: Reliability and success of automated executions.
    • Gas Optimization: Efficiency and cost-effectiveness of transactions.
    • Security: Robustness and protection against vulnerabilities.

Rewards:

  • Total Prize Pool across 3 agent categories: $10,500
    1. 1st Place per Agent: $2000 in tokens
    2. 2nd Place per Agent: $1000 in tokens
    3. 3rd Place per Agent: $500 in tokens
    4. 3 Mystery Boxes: Awarded to random participants

Submission Period:

The submission deadline will be on the 30thApril. The winner announcement will be within 2 weeks after the submission ends.

Submission Requirements:

Additional Notes:

  • Submissions must deploy on Solidus AITech Agent Forge by the deadline.
  • Winners announced based on live demos and code quality.
  • Contact `contact@solidusaitech.com` for technical support.

Challenge: DeFAI, AI-Powered Asset Management on BNB Chain

Prize Pool: $10,000 total in $USDX

Description: What if AI could replace the likes of Goldman Sachs, Bridgewater Associates, and Citadel? In this challenge, we invite developers, AI researchers, and blockchain innovators to build AI-driven platforms that autonomously create and refine asset management strategies, leveraging on the cutting-edge technology to maximize returns, minimize risk, and adapt to market conditions.

We want to see platforms that use AI to develop, test, and execute asset management strategies dynamically.

Your solution could focus on:

– AI-Generated Investment Strategies – Platforms that autonomously generate and test new trading, allocation, or DeFi strategies.

– Reinforcement Learning for Portfolio Optimization – AI agents that continuously learn and improve their allocation decisions.

– AI-Driven Backtesting & Simulation – Platforms that rapidly evaluate thousands of strategies using historical and live market data.

– Adaptive Trading Models – AI-powered strategies that adjust in real-time to market conditions.

– Automated Yield Optimization for DeFi – AI-driven models that dynamically optimize returns across liquidity pools and staking platforms.

– Multi-Asset AI Strategies – AI-generated strategies that can handle both traditional and digital assets, bridging the gap between CeFi and DeFi.

Submission Criteria: 

– Github link (proof-of-concept code)

Judging Criteria:

– Practicality and potential for real world implementation

– Usability & Accessibility – Can traders, investors, or institutions easily use and benefit from the platform

Related links/Docs: https://linktr.ee/usdxmoney 

Timeline:

  • Submission period: May 6
  • Winner announcement date: May21
  • Submission method: Please send the GitHub link and relevant documents to Hackathon@StablesLabs.com

Sponsors: ASI Alliance

Challenge: Unlocking Agent Intelligence on BNB Chain

Challenge Description: Leverage Fetch.ai’s agent technology and the ASI-1 Mini Web3-native LLM to build an autonomous AI agent that performs on-chain actions efficiently. Your agent should interact with smart contracts, execute blockchain transactions, and demonstrate AI-powered decision-making to optimize blockchain operations.

Prize: 

🏆 First Prize (Best Smart Contract Integration) – Cash Prize:  $5000 USD

Recognizing the agent that demonstrates exceptional interaction with smart contracts, executing transactions intelligently and efficiently. 

🥈 Second Prize (The On-Chain Innovator Award ) – Cash Prize: $3000 USD 

For the best agent that seamlessly integrates Fetch.ai technology with blockchain to perform impactful on-chain actions

🥉 Third Prize (The Intelligent Automation Award) – Cash Prize: $2000 USD

For an AI agent that selects and executes the best blockchain transactions autonomously.

Key Features to Showcase:

  • Agent Interaction: Enable the agent to autonomously communicate with other agents or external data sources.
  • On-Chain Execution: Design the agent to perform blockchain actions such as token transfers, contract calls, or governance voting
  • Smart Contract Integration: Create a scenario where the agent interacts with one or more smart contracts to accomplish a specific task.
  • Autonomy and Intelligence: Showcase decision-making capabilities using ASI-1 Mini for reasoning (e.g., optimizing gas fees, and selecting the best trades).

Example Use Cases:

  • An agent that tracks token prices and executes trades based on predefined thresholds.
  • An agent that optimizes yield farming strategies by interacting with DeFi protocols.

Deliverables:

  • A fully functional Fetch.ai agent capable of performing at least one meaningful on-chain action.
  • Agents should be registered/hosted on Agentverse.
  • Comprehensive documentation explaining the agent’s design, setup, and functionality.
  • A short demo video demonstrating the agent in action.

Submission Criteria:

  • All solutions must include AI Agents built using the Fetch.ai SDK or the uAgents framework and must be registered on Agentverse.
  • All Agents must be categorized under Innovation Lab and ASI. To achieve this, the README.md file of the agent must include the following badges:

Timeline:

  • Hackathon Begins – 14/02/2025
  • Workshop 1: Introduction to Fetch.ai and Agentverse
  • Workshop 2: Power of AI Agents on Blockchain
  • Submission Period – 14/05/2025 to 14/06/2025
  • Top 10 Demos – 30/06/2025
  • Winners Announcement – 14/07/2025

Judging Criteria:

  1. Fetch.ai Tech Utilization – How well does the solution leverage the Fetch.ai agent framework, ensure interoperability with other agents, and integrate with Agentverse?
  2. Technical Implementation – Is the code well-structured, efficient, and correctly handling on-chain interactions such as smart contract calls and transactions?
  3. Agent Autonomy & Intelligence  – How effectively does the agent make autonomous decisions, such as optimizing gas fees, executing trades, or participating in governance?
  4. Impact & Use Case Viability  – How relevant and useful is the agent in real-world blockchain applications such as DeFi, governance, or automation?

Related links/Docs:

Submission link: https://forms.gle/xXmAj1NM2ULWy32L9

Sponsor: Unibase

Challenge: Build an On-Chain Immortal AI Agent with Decentralized Memory and Cross-Platform Interoperability On BNBChain.

Prize:

  • Liquidity Funding Support: A total of $500K in liquid funds will be allocated to the top 5 projects, with each receiving $100K.
  • Additional Prize: Winning projects will have the opportunity to join the Unibase ecosystem and receive further support.

Description: Challenge developers to build a decentralized AI agent using Unibase’s Membase (decentralized AI memory layer) and BitAgent (AI agent launchpad), featuring sovereign memory and cross-platform interoperability. The AI agent should demonstrate the ability to autonomously manage data, share knowledge across platforms, and evolve based on interactions.

Submission Criteria:

  • A working prototype or demo of the decentralized AI agent.
  • Source code hosted on GitHub with deployment and testing instructions.
  • Relevant documentation and a demo video explaining how the agent leverages sovereign memory and interoperability.

Judging Criteria:

  • Innovation (30%): Novelty and creativity of the approach.
  • Technical Complexity (30%): Feasibility and implementation of the technology.
  • User Experience (20%): Ease of use and user-friendliness of the AI agent.
  • Documentation & Presentation (20%): Clarity of the documentation and professional presentation.

Related Links/Docs:

  • Website: https://unibase.com
  • Docs: https://docs.unibase.com
  • GitHub: https://github.com/unibaseio

Timeline:

  • Submission Deadline: March 20, 2025 23:00 UTC
  • Judging and Evaluation Period: March 21 – March 29, 2025
  • Winner Announcement: March 30, 2025 23:00 UTC

Submission Form:https://forms.gle/9eK2PcbjSPG6Yoib7

Sponsor: NetMind.AI

Challenge: DeAI Agents Unleashed on BNB Chain – AI Auditing Agent Challenge

Prize Pool:

  • 🏆 First Prize – Cash Prize:  $5000 USD
  • 🥈 Second Prize  – Cash Prize: $3000 USD 
  • 🥉 Third Prize – Cash Prize: $2000 USD

Challenge Overview

AI is reshaping Web3, and smart contract security is one of its most critical frontiers. With blockchain ecosystems evolving rapidly, vulnerabilities in smart contracts remain a major concern, leading to exploits and financial risks.

This challenge invites developers to build an AI-driven smart contract auditing agent that autonomously detects vulnerabilities using Netmind AI’s inference and fine-tuning APIs. Participants will gain access to free credits on the Netmind AI platform, allowing them to develop and deploy DeAI Agents that analyze BNB Chain smart contracts in real time.

By taking part, teams will contribute to the next era of AI-powered blockchain security, accelerating the adoption of trustless, automated contract verification.

Challenge Tasks:

  • Develop an AI Auditing Agent capable of analyzing smart contracts for vulnerabilities using Netmind AI inference and fine-tuning APIs.
  • Enhance security analysis by fine-tuning the model to detect reentrancy, oracle manipulation, integer overflows, and other common attack vectors.
  • Deploy the AI agent to provide automated security insights for smart contracts deployed on BNB Chain.

Submission Guidelines:

  • GitHub repository with code, deployment status, documentation, and project URL.
  • Clear explanation of how the AI agent leverages Netmind AI’s inference and fine-tuning APIs. 
  • Demo video or working prototype (bonus for mainnet-ready implementations).

Judging Criteria:

  • Model & Agent Performance (40%)How accurately does the agent detect vulnerabilities and provide actionable insights, and how robust is its performance under varied conditions?
  • Developer Experience & Integration (20%)How intuitive is the agent’s interface, and how easily can it be integrated into existing workflows?
  • Leveraging Netmind’s AI Services (20%)How effectively does the project utilize Netmind’s inference and fine-tuning APIs, and does it showcase innovative use of these services?
  • BNB Chain Integration (20%)How seamlessly does the solution interact with BNB Chain smart contracts, and is it straightforward to deploy for real-time analysis?

Why Join?

  • Be at the forefront of AI-driven blockchain security with Netmind AI’s cutting-edge tools.
  • Gain access to free credits to develop and deploy your AI-powered auditing agent.
  • Showcase your innovation to Web3 security experts and potential ecosystem partners.

Key Resources:

Important Dates:

  • Submission Deadline: March 17th, 2025
  • Winner Announcement: May 1, 2025

Submit Here: https://forms.gle/osZPoW8Fo7h2XYueA

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