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summarize=true collapses a date range into one row per asset, which is exactly the shape a leaderboard needs.
  • One value per asset: the endDate day’s value, for every metric, whether it’s SUM, LAST or AVERAGE
  • Plus movement: a <METRIC>_PCT_CHG series showing how far that value moved since startDate
  • A comparison window, not a period total: Hyperliquid’s PERP_VOLUME over 2026-07-25 to 2026-08-01 summarizes to $2.02B, the 2026-08-01 value; the eight daily values sum to $59.64B
See Core concepts for the full behaviour.

Lending, ranked by deposits

The Python version

Want biggest movers rather than biggest absolute values? Sort by the <METRIC>_PCT_CHG series instead of skipping it. It’s (endDate / startDate − 1) × 100, measured across the whole window.

Perps, ranked by open interest

Twelve of the fourteen symbols rank on OPEN_INTEREST. Extended and Gains Network report PERP_VOLUME ($176.9M and $16.3M) with no open interest over this window, arriving as a well-formed ["Extended", null] tuple, which is why leaderboard() guards against None as well as checking the type. ApeX stands out: $792.6M of volume against $111.4M of open interest, turning its book over roughly seven times in a day. OI_BY_VOLUME_RATIO measures that directly. In this basket, Hyperliquid (5.04), Paradex (11.00), edgeX (3.71) and Lighter (1.71) return a value.
Under summarize=true every figure here is the endDate day’s value, open interest and volume alike. summarize ignores the declared aggregation_type, so the volume column is a single day’s volume, not an eight-day total. If you want a period total, sum the daily series or use granularity.

Build the symbol list automatically

Rather than hardcoding symbols, pull them from /asset/:
This prints the same top five (Aave, Morpho, Maker, Spark, Maple).
  • 19 symbols, not 17: the sector query also returns seam (Seamless Protocol) and sonne (Sonne Finance)
  • Keep the or 0 guard: neither reports LENDING_DEPOSITS for this window, so a built list still needs the same handling as a hand-picked one
See Finding assets and metrics for more on sector queries.