Most blockchain data requires weeks of cleaning before you can use it. Ours doesn't. 20+ chains, standardized schemas, delivered through Snowflake or explored in Flipspace. USD values, entity labels, and balance snapshots are already there.
Ethereum, Solana, Bitcoin, Arbitrum, Base, Aptos, NEAR, Cosmos, and more — all normalized to the same table structures. Write a query once, run it on any chain. No per-chain data engineering.
Every address classified as exchange, DeFi protocol, token contract, treasury, or deployer. Labels are already joined in ez_ tables — no separate lookup step. Bitcoin has UTXO-based entity clustering you won't find elsewhere as queryable SQL.
Every transfer, swap, and lending event includes the USD amount at time of execution. Hourly OHLC price feeds and daily balance snapshots with valuations. No external price oracle stitching required.
Not an API with rate limits. Not a dashboard. Direct SQL access through your own Snowflake credentials. Connect with Python, dbt, Tableau, Looker, or whatever your team already uses.
Prefer a visual interface? Flipspace gives you a full analytics suite on top of the same data — SQL editor, AI chat, automated reports, and specialized agents. Request a demo when you fill out the form.
Tell us about your use case and we'll set up access to the tables you need.
Trusted by teams at
Seven years of production data, curated by analysts who've been decoding onchain activity since 2019.
ez_ TablesPre-built tables for transfers, swaps, lending, NFTs, staking, and more. Decimal-adjusted, USD-valued, entity-labeled. Ready to query, not parse.
700M+ addresses classified with hierarchical type/subtype taxonomy. Exchanges, protocols, treasuries, deployers, and more. Bitcoin entity clustering via UTXO analysis.
Hourly OHLC price feeds. Daily balance snapshots across 17+ chains with USD valuations. The pricing data is already joined into every curated table.
Dedicated tables for every DeFi event type. Swaps, lending, liquidations, flash loans, staking rewards, and bridge activity — each in its own queryable table.
Unified crosschain.* views span all EVM chains. Query wallet activity, token flows, and entity interactions across every chain in a single statement.
Need the raw blocks, transactions, and logs? They're there too. Plus ABI-decoded event logs and execution traces across all EVM chains for deep protocol analysis.
We built Flipside because we got tired of solving the same problems every customer has.
Every chain goes back to genesis. New chains added regularly.
| Category | Chains |
|---|---|
| EVM L1s | Ethereum, BSC, Avalanche, Gnosis |
| EVM L2s / Rollups | Polygon, Arbitrum, Optimism, Base, Ink, Monad, Somnia |
| Non-EVM | Solana, Bitcoin, NEAR, SUI, Flow, Cosmos, Axelar, Canton, Aptos |
| Crosschain | Unified views spanning all EVM chains |
20+
Blockchains
7T+
Rows of data
700M+
Labeled addresses
7 years
Of production data
Through Snowflake. You get your own credentials and query directly with SQL. Connect any tool that speaks to Snowflake — Python, dbt, Tableau, Looker, Hex, or your own applications via REST API.
Raw tables (fact_*) contain every block, transaction, and log exactly as it appears onchain. Curated tables (ez_*) are cleaned, normalized, and enriched — decimal-adjusted amounts, USD values, entity labels, and event-specific columns. Most teams start with curated tables and drop to raw when they need something specific.
Curated tables update within minutes of onchain finality. Raw data is even faster. Hourly aggregate tables (metrics, prices) update on the hour. Daily balance snapshots land by early morning UTC.
Yes. Upload wallet lists, internal transaction data, or custom segments directly into your workspace. Your data becomes queryable alongside Flipside's blockchain data in the same SQL environment.
It means the ez_native_transfers table on Ethereum has the same columns as on Solana, Arbitrum, or Aptos. Same column names, same data types, same logic. Write a query for one chain, change the schema prefix, and it works on another. No per-chain data engineering.