Ship charts, not pipelines.

Volume, open interest, funding, and liquidations across all 462 markets: live feeds plus ready-made datasets so you ship charts, not pipelines.

Your problem

The parts you keep working around.

01

Building OHLCV from raw trades is undifferentiated heavy lifting.

02

Funding and liquidation data is scattered across endpoints, when it exists at all.

03

New listings (spot, HIP-3) appear on the exchange before they appear in your provider.

The proof

From raw tape to chart-ready series.

OHLCV candles, funding-rate series, and liquidation totals, all derived from the full tape across every market, including new listings as they appear.

BTC, 1-minute candles

ohlcv · 1s / 1m / 1h / 1d

BTC funding rate, hourly

funding · per market, per interval

Liquidated notional, hourly

liquidations · victim, size, mark price

Illustrative series in the derived-dataset formats. The datasets themselves are computed from the full tape: 6.5M+ fills a day across 462+ markets.

Integration sketch

Candles in one query.

Build them from the trades archive with one GROUP BY, or take the derived OHLCV dataset at 1s/1m/1h/1d and skip the query entirely.

Read the docs
-- 1-minute BTC candles from the trades archiveSELECT toStartOfMinute(block_time) AS m,       argMin(px, block_time)      AS open,       max(px)                     AS high,       min(px)                     AS low,       argMax(px, block_time)      AS close,       sum(sz)                     AS volumeFROM tradesWHERE coin = 'BTC' AND block_time > now() - 3600GROUP BY m ORDER BY m
Where to start

The plan that fits.

Ultra

$199/moRecommended

Full archive, replay, and maximum throughput.

Ultra includes the derived datasets (OHLCV, PnL, liquidations, funding) and the full historical query access that dashboards live on.

Compare both plans

Point a dashboard at it.

Pro includes the derived datasets (OHLCV, wallet PnL, liquidations, funding) and full historical query access.