Most of the catalog is queryable for Manta, from the blocks themselves to the daily activity of the projects that run on it.
The chain’s own record sits in the manta dataset: one row per block, transaction, log and internal call. Everything above that sits in the catalog, where the Manta rows are selected with chain_id = 'manta'.
The section mirrors the catalog itself: the core entities, then the market verticals with data on Manta.
Layers
| Layer | Since | What it holds |
|---|
| Raw | 2023-09 | Blocks, transactions, logs and internal calls. |
| Projects | 2024-03 | Daily trading and bridge volume for each tracked app and project, broken out to Manta. |
| Assets | 2024-01 | Every curated asset issued on Manta, with daily supply, holders and transfer activity. |
| Tokens | In progress | 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. |
| Stablecoins | 2024-03 | Every stablecoin issued on Manta: supply, holders and transfers. |
| Tokenized assets | 2024-01 | Tokenized stocks, funds and commodities issued on Manta, tracked against their underlying instruments. |
| Bridges | 2024-03 | Cross-chain transfers that left Manta or arrived on it, matched leg to leg. |
Filtering
chain_id reads manta wherever a catalog table carries a chain, so the same filter selects Manta 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 and carries 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.
