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Most of the catalog is queryable for Polygon, from the blocks themselves to the daily activity of the projects that run on it. The chain’s own record sits in the polygon dataset: one row per block, transaction, log and internal call. Everything above that sits in the catalog, where the Polygon rows are selected with chain_id = 'polygon'. The section mirrors the catalog itself: the core entities, then the market verticals with data on Polygon.

Layers

LayerSinceWhat it holds
Raw2020-05Blocks, transactions, logs and internal calls.
Projects2020-05Daily Fees and Revenue for each tracked project, broken out to Polygon.
Apps2021-12Daily Trading volume, TVL, Fees and Revenue for each tracked app, broken out to Polygon.
Assets2020-09Every curated asset issued on Polygon, with daily supply, holders and transfer activity.
TokensIn progressEvery ERC-20 transfer, both sides of every balance move, holder balances at query time, and daily prices.
AccountsIn progressWallets and contracts labeled with the projects that own them.
Contracts2021-01Every contract deployed on Polygon, with the account that created it.
Stablecoins2020-09Every stablecoin issued on Polygon: supply, holders and transfers.
Real-world assets2022-09Tokenized stocks, funds and commodities issued on Polygon, tracked against their underlying instruments.
DEX2021-12Trading pools, their daily volume, value locked and fees.
LendingIn progressThe lending markets deployed on Polygon, the asset each one lends, and the lending facts.
Bridges2022-10Cross-chain transfers that left Polygon or arrived on it, matched leg to leg.

Filtering

chain_id reads polygon wherever a catalog table has a chain column, so the same filter selects Polygon 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.