How I Automated Cross-Chain USDC Intelligence with Flipside

Checking dashboards for USDC activity every week gets old. In this demo, we walk through a Flipside Automation that monitors USDC across seven chains and surfaces only what matters, delivered straight to your inbox.

How It Works

The automation kicks off two SQL queries in parallel. One pulls metrics across six EVM chains, the other focuses on Solana. Each query computes network activity, transfer volume, centralized exchange concentration, and mint/burn flows. Every metric gets a Z-score against a 30-day baseline, so you’re not guessing whether something is unusual. You just know.

Once both queries return, an AI agent takes over. It loads stablecoin tracking skills, crunches the combined results with DuckDB, and runs anomaly detection across all seven chains. When it finds something significant, it uses Flipside’s labeled address data to identify who’s behind it.

More Than a Summary

This isn’t just a summarizer. It’s an operational decision support system. Every output includes specific recommended actions, who should own them, and how urgent they are. The final step composes an institutional intelligence briefing with color-coded priorities, structured sections, and flagged anomalies, then sends it as an email.

Conversational Follow-Up

After any run completes, you can open a conversation with the full context of every SQL result and every piece of agent analysis. Ask follow-up questions like “which chain had the biggest anomaly?” or “what’s driving the CEX spike?” You’re not reading a static report. You’re having a conversation with the actual output.

Build Your Own

Building automations in Flipside is drag-and-drop. SQL queries, AI agents, conditional logic, delivery to email, Slack, or Discord. Add conditional steps so alerts only fire when something anomalous is detected. Every query your team has written and every agent is available as a building block.