Every layer of the catalog is queryable for Ethereum, from the blocks themselves to the daily activity of the projects that run on it.
The chain’s own record sits in the ethereum dataset: one row per block, transaction, log and internal call. Everything above that sits in the catalog, where the Ethereum rows are selected with chain_id = 'ethereum'.
The section mirrors the catalog itself: the core entities, then the market verticals with data on Ethereum.
Layers
| Layer | Since | What it holds |
|---|
| Raw | 2015-07 | Blocks, transactions, logs and internal calls, plus two tables unique to Ethereum. |
| Projects | 2015-08 | Daily Fees and Revenue for each tracked project, broken out to Ethereum. |
| Apps | 2020-05 | Daily Trading volume, TVL, Fees and Revenue for each tracked app, broken out to Ethereum. |
| Assets | 2017-11 | Every curated asset issued on Ethereum, with daily supply, holders and transfer activity. |
| Tokens | 2015-10 | Every ERC-20 transfer, both sides of every balance move, holder balances at query time, and daily prices. |
| Accounts | In progress | Wallets and contracts labeled with the projects that own them. |
| Contracts | 2015-08 | Every contract deployed on Ethereum, with the account that created it. |
| Stablecoins | 2017-11 | Every stablecoin issued on Ethereum: supply, holders and transfers. |
| Real-world assets | 2018-09 | Tokenized stocks, funds and commodities issued on Ethereum, tracked against their underlying instruments. |
| DEX | 2020-05 | Trading pools, their daily volume, value locked and fees. |
| Lending | In progress | The lending markets deployed on Ethereum, the asset each one lends, and the lending facts. |
| Bridges | 2022-09 | Cross-chain transfers that left Ethereum or arrived on it, matched leg to leg. |
Filtering
chain_id reads ethereum wherever a catalog table has a chain column, so the same filter selects Ethereum everywhere. Some shapes ask for something else. The asset tables key on the asset or its deployment, so the chain comes from dimensions.asset_tokens, as the query below does. Project and app totals span every chain a project runs on, so one chain’s share reads from metrics_project_chains and metrics_app_chains. A bridge transfer has a chain on each end, named by source_chain_id and destination_chain_id.
Every table splits by day: the raw and event tables on block_timestamp, the daily tables on timestamp. Bound that column in every query; without a bound the query reads the whole table.
