AI Meets CoinGecko: The Easiest Way to Talk to Crypto Data
Please note: You must have an ETHSofia ticket to attend. Get yours here: https://ethsofia.com/get-tickets
Join us for a hands-on, no-code workshop where we’ll explore how an AI assistant can unlock the power of real-time crypto data. By pairing the assistant with CoinGecko’s powerful MCP server, you’ll see how easy it is to turn raw data into meaningful insights.
We’ll use the AI assistant to pull structured data from CoinGecko, extract insights, and email the results to your inbox. This session is perfect for anyone curious about how LLMs interact with tools in the wild, and how far you can go with the right prompts. And we'll do this with zero code or dev support!
🧠 What you’ll learn
How to design prompts that turn raw market data into actionable insights
How the AI assistant responds to multi-step, structured tasks like summarizing and sharing data
How to push outputs to tools like Notion or email with natural language
🛠️ What you’ll do
Connect the CoinGecko MCP server to the AI assistant
Build data-driven prompts that pull live market signals into your workflows
Layer on analysis by asking the assistant to highlight patterns, trends, or anomalies
Fetch data and auto-send a summary via email or Notion
Experiment with different prompt styles to get more accurate, useful outputs
💻 What to bring
Your laptop
Curiosity to test how AI + data can change how you work
🎁 $400 USDC in prizes: The Prompt-Off Challenge 🎉
During the workshop, you’ll craft your best prompts in real time and send the AI’s output straight to the Civic team (we’ll share the submission address onsite).
After the event, we’ll run every single prompt received, review the outputs, and pick our faves.
🔥 Eight (8) winners will receive $50 USDC each!
🏆 Judged on clarity, creativity, and the quality of the AI’s final output
📢 Winners announced the week after the workshop
Your host: Titus Capilnean, VP of Go-To-Market, Civic
Titus is a seasoned marketer and technologist with experience in fintech, artificial intelligence, identity, blockchain, and AI data. He has led marketing and product at startups from angel to Series A funding, as well as in publicly traded companies. His work has been featured in The New York Times, Forbes, TechCrunch, and the World Economic Forum.