Hyperliquid Smart Money Data API

Screen one asset class without pulling all 320 markets: mark price, funding rate and open interest for crypto, equities, commodities, FX, indices or rates

Every Hyperliquid perp in one call: 320+ markets with mark price, funding rate, open interest and 24h volume, USDC-denominated

Which side the profitable leaderboard traders are on, per market: aggregated long vs short notional. The crowd-versus-whales read in one number

Backtesting raw material for one market: price, funding and open-interest snapshots we recorded over time, as a series the exchange does not serve retroactively

Where positioning changed: open-interest jumps and funding-rate flips across 320 markets, as ready-to-read lines. Falls back to the last hour when the current cycle is quiet, so the answer is never empty

A written read of the market right now by Claude Opus, grounded in this snapshot: funding, open interest and whale positioning. Educational, not advice

Where notional is entering or leaving each market over 1h/4h/24h, plus stealth accumulation: open interest climbing while price stays flat

Long or short bias per market with a score and the reasons behind it: funding, open interest and whale positioning combined. Heuristic, not advice

The largest individual whale positions open right now: who, which side, how much notional and current PnL. The names behind the aggregate

Is money rotating out of equities into crypto? Net notional flow per asset class over 1h/4h/24h, with the rotation stated in one line

One call instead of four: AI brief, per-market bias, largest whale positions and fresh signals. Cheaper than buying them separately ($0.16)

Markets where a squeeze can build: stretched funding plus high open interest plus whales positioned against the crowd, scored 0-100 with the reasoning shown

Everything one Hyperliquid wallet holds right now, across every dex: open positions, side, notional, leverage and long/short exposure. Point it at any address

Where whale positions get liquidated and how far price must move to trigger it: levels per market with notional at risk, nearest first

What the profitable whales just did, not only what they hold: opened, added, reduced, flipped or closed. Built from our own position history, with the last 3 hours served when the current cycle is quiet

Stop polling: register a webhook and get every matching signal pushed to you for up to 7 days. One payment, no account, no API key

What history exists before you pay for it: how many markets we track, which asset classes, and the range covered. The cheap probe that tells an agent whether the paid series is worth buying

60 minutes of the full Pro snapshot in one JSON call: whale positioning, signals, flows, squeeze scores and the AI brief, refreshed continuously. Same access as /pro/unlock, without the browser page

60 minutes of the browser dashboard for humans: live whale positioning, signals and an AI brief that refreshes on its own

Where BTC whale positions get liquidated and how far price must move to trigger it: levels with notional at risk, nearest first. Single-market slice of /liquidations, for agents that only track BTC

Exact range and granularity of one market's series: first and last timestamp, how many points, and the measured gap between them. Answers whether /history covers the window you need, for a tenth of the price

Where ETH whale positions get liquidated and how far price must move to trigger it: levels with notional at risk, nearest first. Single-market slice of /liquidations, for agents that only track ETH

Where HYPE whale positions get liquidated and how far price must move to trigger it: levels with notional at risk, nearest first. Single-market slice of /liquidations, for agents that only track HYPE

Where SOL whale positions get liquidated and how far price must move to trigger it: levels with notional at risk, nearest first. Single-market slice of /liquidations, for agents that only track SOL

Only what changed since your last call: pass the cursor you got back and receive just the new whale events, never the whole base again. Built for agents that poll on a schedule and pay per request

Measurement history for one x402 merchant: state, settlement txid, latency, advertised price and price actually charged, purchase by purchase

x402 merchants ranked by measured settlement rate over the last 30 days: how often a paid request actually produced an on-chain settlement, not how often the endpoint was up

Which x402 endpoints actually settle: counts from the latest measurement cycle, where every data point is a real purchase we paid for. Catalogs list who exists; this reports who charged