This bounty is part of our effort to highlight what’s possible with Shade Agents, autonomous, chain-abstracted AI agents built on NEAR using Chain Signatures. These agents can read, reason, and act across ecosystems without centralized control.Your task is to build a functional Token Info Agent that can fetch and return real-time token price data based on user queries. Just as important, and staying true to our commitment to open-source documentation, you’ll create a clear, beginner-friendly tutorial that anyone can follow.<h3 class="heading-node">What You’ll Build</h3>Your Token Info Shade Agent should be able to:<ul class="list-node"><li>Accept natural language prompts such as: “What’s the price of SOL?” “How much is 1 ETH in USD?”</li><li>Query a live token pricing API (such as CoinGecko or CoinMarketCap)</li><li>Return formatted price data to the user</li></ul>(Optional) Add features like:<ul class="list-node"><li>Currency conversion between tokens or fiat</li><li>Prompt parsing for multi-token support</li><li>A CLI or basic UI interface to display results</li><li>LLM integration for flexible language processing</li></ul><h3 class="heading-node">Submission Requirements</h3>Your GitHub PR should include a <code class="inline" spellcheck="false">/token-info-agent/</code> folder containing:<ul class="list-node"><li><code class="inline" spellcheck="false">README.md</code> — A full tutorial: setup, logic, usage, and examples</li><li><code class="inline" spellcheck="false">main.py</code>, <code class="inline" spellcheck="false">index.js</code>, or <code class="inline" spellcheck="false">lib.rs</code> — Your agent’s core logic in Python, JavaScript, or Rust</li><li><code class="inline" spellcheck="false">prompt_examples.txt</code> — At least 3 sample user queries and expected outputs</li><li><code class="inline" spellcheck="false">demo.mp4</code> or Loom/YouTube link — A short video (2–5 min) walking through the agent’s functionality</li></ul>(Optional) Basic UI wrapper or CLI interface<h3 class="heading-node">Technical Requirements</h3><ul class="list-node"><li>Must be built in JavaScript, Python, or Rust</li><li>Agent must function autonomously (no manual steps after setup)</li><li>Code must be open source and submitted via GitHub PR</li><li>Tutorial must be clear, complete, and reproducible</li></ul><h3 class="heading-node">Judging Criteria</h3>Clarity &amp; Reproducibility Is your tutorial easy to follow and replicate?Agent Autonomy Does your agent process prompts and return price data without manual input?Code Quality &amp; Logic Is your logic well-structured and accurate across test cases?Video Demo Is your demo clean, concise, and easy to understand?<h3 class="heading-node">Resources</h3>Everything you need to learn about Shade Agents and how they work:<ul class="list-node"><li><a class="link" href="https://docs.near.org/ai/shade-agents/introduction" target="_new" rel="noopener">Intro to Shade Agents – NEAR Docs</a></li><li><a class="link" href="https://www.near.org/blog/shade-agents-the-first-truly-autonomous-ai-agents" target="_new" rel="noopener">NEAR Blog: The First Truly Autonomous AI Agents</a></li><li><a class="link" href="https://www.youtube.com/watch?v=04NEXdLz9EE" target="_new" rel="noopener">Shade Agents Walkthrough Video with Proximity Labs</a></li><li><a class="link" href="https://www.coingecko.com/en/api/documentation" target="">CoinGecko API Documentation</a></li></ul>

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Make a Token Info Agent

Make a Token Info Agent

250USDC Total Prizes
250 USDC 1st