Superteam India

This is a special Solana Breakout Hackathon track hosted exclusively on Superteam Earn.

Breakout

<h1 class="heading-node">Introduction</h1><a class="link" href="http://Fetch.ai">Fetch.ai</a> provides a platform for building intelligent, autonomous, and decentralized AI Agents with <a class="link" href="https://github.com/fetchai/uAgents" target="">uAgents</a>, <a class="link" href="https://agentverse.ai/" target="">Agentverse</a> and <a class="link" href="https://asi1.ai/" target="">ASI:One</a> that can scale across industries<h1 class="heading-node">Track Description</h1>The future of AI isn’t centralized—it’s agentic, decentralized, and Web3-native. Join <a class="link" href="http://Fetch.ai">Fetch.ai</a> at the forefront of this new frontier by building on <a class="link" href="https://agentverse.ai/" target="">Agentverse</a>—an open marketplace of autonomous AI agents, powered by <a class="link" href="https://asi1.ai/" target="">ASI1-mini</a>, the first-ever Web3-native LLM. Access everything through the <a class="link" href="https://asi1.ai/" target="">ASI:One</a> web app.<h3 class="heading-node">🚀 Your Mission</h3>Design intelligent, autonomous agents that live on <a class="link" href="https://agentverse.ai/" target="">Agentverse</a> and solve real-world problems using <a class="link" href="https://asi1.ai/" target="">ASI1-mini</a> LLM.<h3 class="heading-node">🛠️ Your solution should be</h3><ul class="list-node"><li>Agent-first: Built using one or more <a class="link" href="https://github.com/fetchai/uAgents" target="">uAgents</a> that communicate and collaborate via the chat protocol.</li><li>LLM-native: Seamlessly powered by<a class="link" href="https://asi1.ai/" target=""> ASI1-mini</a> LLM and integrated into the ASI:One web app to respond to natural language queries.</li><li>User-focused: Thoughtfully designed to be intuitive, useful, and accessible to real users.</li></ul><h3 class="heading-node">🌍 Your Impact</h3>Whether you're innovating in DeFi, health, education, creator tools, identity, or sustainability, this challenge is your chance to shape the future with autonomous agents that matter.&nbsp;Check out the<a class="link" href="https://innovationlab.fetch.ai/resources/docs/intro"> resources</a> to learn how to build and launch your own AI agents.<img src="https://res.cloudinary.com/dgvnuwspr/image/upload/v1744298582/hrx7rkvl0supewbps4on.png" alt="" title="" id="dj01b5wm8" width="487" height="161" filename="Flowchart.png" filetype="image/png"><h2 class="heading-node">Project Ideas&nbsp;</h2>To inspire your build, here are some agent ideas in the Web3 and DeFi space:📊 1. Token Sentiment &amp; Price Tracker Agent Problem: Traders lack a unified view of price trends and community sentiment. Solution: An agent that returns token prices along with bullish/bearish sentiment analysis. How: User says, "What’s the outlook on LINK?" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which responds with current price, trends, and a sentiment summary.🧠 2. DeFi Learning Guide Agent Problem: New users struggle to understand complex DeFi concepts. Solution: An agent that provides interactive lessons and simulations on DeFi protocols. How: User asks, "Teach me about liquidity pools" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which provides a guided, step-by-step explanation.🛡️ 3. Rug Pull Detector Agent Problem: Users often fall victim to scam tokens due to lack of reliable due diligence. Solution: An agent that analyzes a token’s smart contract and social sentiment to assess scam risk. How: User asks, "Is this token safe?" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which scans the token contract and recent sentiment to return a safety report.💼 4. Cross-Chain Loan Agent Problem: DeFi lending is fragmented, making it hard to find optimal loans. Solution: An agent that fetches and compares loan options across chains. How: User asks, "What’s the best ETH loan with low collateral?" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which returns a ranked list with explanations.💰 5. Solana Wallet Activity Agent Problem: Users can’t easily interpret their wallet history. Solution: An agent that summarizes recent Solana wallet activity across DeFi, NFTs, and tokens. How: User asks, "What has my wallet done in the last 7 days?" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which returns a clear activity summary.🪙 6. Solana Airdrop Checker Agent Problem: Users miss airdrops they might qualify for. Solution: An agent that checks wallet eligibility for recent Solana-based airdrops. How: User asks, "Do I qualify for any airdrops?" → ASI:One web app leverages ASI1-mini LLM to query the most relevant agent, which replies with current eligibility status. <img src="https://res.cloudinary.com/dgvnuwspr/image/upload/v1744298600/jnu1f0lqpz7ecd2gxxdu.png" alt="" title="" id="vps8f9s60" width="487" height="168" filename="Tools.png" filetype="image/png"><h3 class="heading-node">Workshop Build Smart AI Agents with ASI:One</h3>Join us for an exciting workshop where you’ll learn how to build intelligent, autonomous AI agents with the <a class="link" href="http://Fetch.ai">Fetch.ai</a> Tech stack. Whether you're new to autonomous agents or ready to take your agent-building skills to the next level, this session is for you!🗓️ Date: April 17th 🕒 Time: 3:00 PM – 4:00 PM UTC 🔗 Join Link: <a class="link" href="https://meet.google.com/tic-kbxo-iir">https://meet.google.com/tic-kbxo-iir</a> Eligibility Criteria<ul class="list-node"><li>Use ASI1:Mini LLM and the uAgents framework to build your agent.</li><li>Your agent's README should include the following tag.</li></ul><code class="inline" spellcheck="false">![tag:innovationlab](https://img.shields.io/badge/innovationlab-3D8BD3)</code><h1 class="heading-node">What to Submit&nbsp;&nbsp;</h1><ul class="list-node"><li>Code - Share the link to your public GitHub repository to allow judges to access and test your project. Ensure your <a class="link" href="http://README.md">README.md</a> file includes key details about your agent(s), such as their name and address, for easy reference.</li></ul><ul class="list-node"><li>Video -&nbsp; Include a demo video of about 3-5 minutes demonstrating the agents you have built.</li></ul><h1 class="heading-node">Judging criteria</h1><ol class="list-node"><li>Impact - How well does the AI agent address a specific, well-defined industry or domain challenge?</li><li>ASI1:Mini Integration: Is your AI Agent compatible with ASI1:Mini LLM?</li><li>Agentverse Integration - Have you registered all your AI Agents on Agentverse?</li><li>Technical Robustness - Is the AI agent well-built, reliable, and free of major flaws or vulnerabilities?</li><li>Demo Quality - &nbsp;Is the solution presented clearly with a well-structured demo? Does it effectively showcase the AI agent’s capabilities?</li></ol><h1 class="heading-node">References</h1>Documentation: <a class="link" href="https://innovationlab.fetch.ai/resources/docs/intro">https://innovationlab.fetch.ai/resources/docs/intro</a>Discord: <a class="link" href="https://discord.gg/fetchai">https://discord.gg/fetchai</a>

The Fetch.ai Agent Track

The Fetch.ai Agent Track

5,000USDC Total Prizes
2,500 USDC 1st 2,500 USDC 2nd