Order-book markets - Token Terminal Docs

One row per order-book market that has traded in dimensions.order_book_markets, a book of buy and sell orders where the token itself changes hands, covering spot books and outcome markets. order_book_market_id is the venue’s book identifier joined with the chain, and it is the key every order-book figure joins on.

Coverage

One row per app, and a tick marks every app that reports the measure at this grain. It is the same table as the Order book market tab of Perpetuals.

App	Project	Trading volume	Fees	Supply-side fees	Revenue
`hyperliquid-outcome-markets`	`hyperliquid`	✓	✓	✓	✓
`hyperliquid-spot`	`hyperliquid`	✓	✓	✓	✓

Columns

Column	Type	Description
`order_book_market_id`	STRING	Identifier of the market: the venue’s book identifier joined with the chain.
`project_id`	STRING	Project the operating app belongs to.
`app_id`	STRING	The app running the book. A book runs under this one app, where a perpetual market has an exchange app and an interface app.
`chain_id`	STRING	Chain the book settles on.
`quote_asset_id`	STRING	The token volume is measured in, keyed like `dimensions.assets`. Every accepted quote token is a dollar stablecoin (`usdc`, `usdh`, `usdt0`, `usde`), so a trade’s size times its price is already its dollar value.
`base_symbol`	STRING	Symbol of the traded token, as the venue lists it. Several contracts can share one symbol.
`name`	STRING	Readable pair name, for example `HYPE/USDC`.
`created_at`	TIMESTAMP	Time of the first trade seen in the market, which is what puts the row in this table.

Sample queries

Rank books by volume
Books per app and chain

The volume table keys on order_book_market_id, and the registry turns that key into a readable pair and names the app running the book. Volume is a flow, so a week of it adds up.

select
    markets.name,
    markets.app_id,
    markets.chain_id,
    sum(volume.trading_volume) as trading_volume
from `metrics_order_book_markets.trading_volume_daily` as volume
join `dimensions.order_book_markets` as markets
    using (order_book_market_id)
where volume.timestamp >= timestamp('2026-08-01')
  and volume.timestamp < timestamp('2026-08-08')
group by 1, 2, 3
order by trading_volume desc
limit 20

created_at is when the market first traded, so the earliest one per app reads as the date its book opened.

select
    chain_id,
    app_id,
    count(*) as markets,
    min(created_at) as first_traded
from `dimensions.order_book_markets`
group by 1, 2
order by markets desc