The Data Layer Powering Flipside's AI Blockchain Intelligence
A walkthrough of Flipside's data platform. Over 10 trillion rows of curated blockchain data, standardized schemas, cross-chain tables, proprietary address labels, and direct Snowflake access.
Flipside has indexed dozens of blockchains into over 10 trillion rows of curated data. This is the data layer that powers everything in the platform. It’s what our AI agents query, what our automations run against, and what you get direct access to.
Standardized Star Schema
Every chain follows the same star schema pattern. Fact tables capture what happened on-chain, dimension tables provide context, and EZ tables combine both so you don’t need to join five tables to answer a simple question. The structure is identical across Ethereum, Solana, Base, Bitcoin, and more. Learn it once and apply it everywhere.
Click any table in Data Explorer and you’ll get live data previews, full schema docs, and column descriptions before writing a single line of SQL.
Auto-Decoded Transactions
Flipside ingests new ABIs automatically every day across all ecosystems. Every transaction and event log is auto-decoded into human-readable form, so you’re always working with clean, structured data.
Cross-Chain Tables
This is where it gets really useful. Cross-chain tables like stablecoin supply pull data from every chain into a single table with a consistent column structure. Want to compare stablecoin supply on Avalanche vs. Arbitrum vs. Ethereum? That’s one query, not three separate analyses.
Proprietary Address Labels and Scoring
Flipside’s data science team maintains thousands of labeled wallets: exchanges, funds, asset managers, protocols. This is what makes questions like “show me institutional stablecoin flows” actually answerable. You can also upload your own labels to blend custom address lists into the on-chain data.
Built on top of those labels is an on-chain scoring system. Every address is scored on behavioral signals like transaction complexity, days active, bridge activity, CEX withdrawals, DeFi engagement, and LP activity. Because scores are standardized across chains, you can compare user quality on Base vs. Ethereum vs. Solana with real statistical confidence.
Talk to Your Data
Don’t want to write exploratory SQL? Click “Talk to Data” to chat with the Data Explorer agent. It understands every schema and column and lets you ask questions in plain English. Think of it as a data analyst who already knows every table in the warehouse.
Direct Snowflake Access
Every table, every schema, every chain. You get your own Snowflake credentials with full read access and a sandbox environment with write access. Connect your own BI tools, build notebooks, or curate custom datasets on top of Flipside’s data using tools like dbt.