> ## Documentation Index
> Fetch the complete documentation index at: https://tokenterminal.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> To query the Token Terminal data catalog, read https://tokenterminal.com/docs/catalog/agents-manual.md first. It is the whole catalog as one page: table naming grammar, key columns, partition and cluster rules, units, additivity, and the tables that are documented but not served yet.
> Never query a catalog table on a time bound alone. Also filter its cluster key, which you read from INFORMATION_SCHEMA.COLUMNS; an empty result means the object is a view, whose pruning contract is on its page. Compute is billed to the caller's own Google Cloud project.

# Projects

> Daily Notional volume, Fees and Revenue for each tracked project, broken out to HyperCore.

The top of the catalog breaks activity down by who ran it. A project is the entity behind a protocol, such as Hyperliquid itself or a builder listing its own markets; its apps' figures on HyperCore sit on [Apps](/docs/catalog/chain-verticals/hyperliquid/apps).

* [`metrics_project_chains`](/docs/catalog/projects/metrics): one table per measure, one row per project per chain per day.

A project figure for one chain and one day is the sum of its apps on that chain and day, worked out once and served at both levels. The same holds across chains: a project's chain rows for one day sum to what `metrics_projects` serves without the chain breakout, so use these tables when the chain breakdown is the question.

Notional volume comes in two lenses. `exchange_notional_trading_volume_daily` credits the project whose matching engine settled the trade, and `interface_notional_trading_volume_daily` credits the project whose interface it was placed through. Each is a complete account of the same trades, so pick one lens and stay in it.

Every column is documented at [Projects ▸ Metrics](/docs/catalog/projects/metrics).

## Sample queries

<Tabs>
  <Tab title="One project's series">
    **Read one project's daily HyperCore fees.**

    ```sql theme={null}
    select
        daily.timestamp,
        daily.fees
    from `metrics_project_chains.fees_daily` as daily
    where daily.timestamp >= timestamp('2026-08-16')
      and daily.timestamp < timestamp('2026-08-23')
      and daily.chain_id = 'hypercore'
      and daily.project_id = 'hyperliquid'
    order by daily.timestamp
    ```
  </Tab>

  <Tab title="Builders on HyperCore">
    **Rank the projects listing markets on HyperCore by the notional traded through their interfaces.** The interface lens is the one that separates the builders, since the matching engine behind them is the same one.

    ```sql theme={null}
    select
        projects.name,
        sum(daily.notional_trading_volume) as notional_trading_volume
    from `metrics_project_chains.interface_notional_trading_volume_daily` as daily
    join `dimensions.projects` as projects
        using (project_id)
    where daily.timestamp >= timestamp('2026-08-16')
      and daily.timestamp < timestamp('2026-08-23')
      and daily.chain_id = 'hypercore'
    group by projects.name
    order by notional_trading_volume desc
    limit 20
    ```
  </Tab>
</Tabs>