LiquidVision — Crypto Derivatives Data

[measured] What exists: every venue we track and, for each, the contracts with live open interest right now (BASEUSDT symbols), plus the top-100 coin pool. Call this first when unsure which symbol or exchange string another tool accepts.

[measured] The public accuracy audit: our open interest and funding vs Binance, Bybit, OKX and Hyperliquid's own endpoints, sampled every 10 min (diff %, snapshot age, 24h mean/max), plus how the modeled liquidation map scored against realized liquidations. Read this before trusting any number here with money.

Latest perpetual funding rates and mark prices for every tracked exchange/symbol pair. Positive rate = longs pay shorts.

Cross-venue order book microstructure for BTC, ETH and SOL. Per venue: spread in bps, immediately-executable depth in USD and the bid share of it, measured over a band narrow enough that every venue's stream captured it, each venue around its own mid. Also the basis - how far apart venues price the same asset - plus a per-minute spread history. Does NOT answer "what moves pri

Per-coin positioning regime from price direction crossed with open interest. price up + OI up = new longs; price up + OI down = short covering (a rally with no new buyers); price down + OI up = new shorts; price down + OI down = long flush. Returns a market summary (coins and net OI per regime) plus per coin the price change, OI change and current OI over the window.

[measured, PAST] Liquidation CASCADES as discrete events: bursts of liquidations detected against each coin's own 7-day normal minute. Use it for "when did forced selling snowball and what did price do"; not for totals (get_liquidations_summary), raw orders (get_liquidations) or open positions at risk (*_liquidation_map). Each event: coin, which side broke, start, how long it ran,

[measured] Monthly Parquet history packages for backtests: liquidations (11 venues), funding hourly and settlements, open interest hourly, Hyperliquid and Lighter positions with liquidation prices — one file per dataset per month since 2026-07 with rows, bytes and sha256. Each entry has `url` (download with the API key in X-API-Key) and `available` for the caller's tier: Pro = this mon

[measured] Funding carry screener on REALIZED numbers: for each coin, the venue pair a desk would put on (short where funding is richest, long where it is cheapest) and what that pair actually earned from funding over the last 7 and 30 days from our hourly archive, annualized; positive_share_7d = share of the week's hours the pair was net positive (0.5 is a coin flip); current_spre

Coins ranked by how far funding disagrees ACROSS exchanges. For each coin: the spread in APR points between the venue charging the most and the one paying the most, plus which venue to hold the long on and which to hold the short on. Every leg is annualized with its own settlement cycle (1h / 4h / 8h), and the ranking uses the median rate over `window` minutes rather than the

Settled funding rates, one row per settlement, from Binance and Bybit history — up to 730 days for any pool coin (e.g. BTCUSDT). The backtest series; get_funding_history is the live 10-second archive since July 2026.

Latest open interest (contracts and USD) per exchange/symbol.

[measured] Open interest over time for one contract, one row per venue per time bucket: ts (ms), exchange, oi (coins, one side), oi_usd. Use it to see how positioning built up or unwound; for the current snapshot with shares and 1h/4h/24h changes use get_oi_board, for every contract at once get_open_interest. symbol: BASEUSDT (BTCUSDT). minutes: look-back window, 5 to 20160 (14 day

[measured] Funding rate over time for one contract, one row per venue per time bucket: ts (ms), exchange, funding_rate (per settlement interval, a fraction), mark_price and funding_hours (that contract's interval: 1, 4 or 8). Annualize as rate * 8760 / funding_hours. This is the LIVE predicted rate sampled over time; for the rates actually paid at each settlement (2 years back) use

Latest global long/short account ratio per exchange/symbol.

[measured, PAST] Individual liquidation ORDERS that already happened (side, price, qty), newest first, at most `limit` rows (max 2000). This is the raw feed: use it when you need the orders themselves. For totals use get_liquidations_summary; for cascades as events use get_liquidation_cascades; for where OPEN positions would be liquidated use a *_liquidation_map tool. Market-wide,

[measured, PAST] TOTALS of liquidations that already happened: rekt (USD liquidated in the last 1h/4h/12h/24h, split long/short), by_symbol and by_exchange over the last `minutes`, and series (30-minute buckets). The one to call for "how much was liquidated"; it does not return individual orders (get_liquidations) or events (get_liquidation_cascades), and says nothing about open po

Per-venue open-interest ranking for a perp symbol (e.g. BTCUSDT): OI in coins and USD, market share %, 1h/4h/24h OI change % and USD flow, and OI / 24h-volume ratio per exchange, plus market totals.

Derivatives cash flow per exchange: net USD into/out of open interest over 1h/4h/24h windows, per core symbol. Positive = money flowing in.

Arbitrum perps board: GMX v2 open interest per coin and its share of every tracked venue, GMX funding next to the CEX median (8h basis), on-chain liquidations over 24h. Ask this for 'how is Arbitrum positioned vs CEXs'.

Top lead traders (OKX copy trading, public data): total PnL, win rate, AUM, copiers, live open positions (pair, side, leverage, entry, uPnL) and recently closed trades with realized PnL.

Upcoming token unlock events for pool coins, nearest first: next unlock timestamp and token amount per public vesting schedule.

Crypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes: price, day change %, range, volume. ~15-min delayed.

[modeled, RISK AHEAD, CEX, now] ESTIMATED open leveraged positions on Binance/Bybit/OKX per price bin at their liquidation price, from candles and open-interest deltas (the CEXs do not publish positions). Current snapshot only; for its evolution over time use get_liquidation_heatmap; for REAL positions use get_hl_liquidation_map (Hyperliquid) or get_lighter_liquidation_map (Lighter

[measured, RISK AHEAD, Hyperliquid] REAL open positions on Hyperliquid binned by the liquidation price the exchange itself reports: the 10,000 largest accounts plus every account that traded since the reader started (~10,000 accounts, ~40-45% of venue open interest, stated in covered_long_pct/covered_short_pct). Not a model. Use this for Hyperliquid; use get_lighter_liquidation_map

[modeled, RISK AHEAD, CEX, over time] The same estimated CEX map as get_liquidation_map but as a time series: grid[t][b] is the estimated USD of leveraged positions with their liquidation price in price bin b at time cols[t] (ms), bins[b] the bin's centre price (240 bins fitted to the traded range), price[t] the close. A level disappears once price trades through it. Call this only

[measured] Resting limit orders over time on ONE exchange: cells of (time bucket, price bucket, quantity in coins) from archived order-book snapshots, with price_min, price_max, price_step and time_step (seconds) describing the grid. Shows where bid and ask walls stood and when they were pulled; not liquidations (see get_liquidation_heatmap for those) and not trades (get_footprint)

Deterministic market brief for a perp symbol: 24h liquidations (totals, by exchange), current funding + 24h extremes per venue, OI by venue with 1h/4h/24h changes, net position flows, modeled liquidation risk zones above/below price, and top-trader positioning. Free, no LLM involved — ideal input for your own reasoning.

AI risk-intelligence answer: ask e.g. 'Why did BTC drop 4%?' and get a concise grounded explanation (liquidation cascades, funding extremes, where the positions sit, next risk zone) computed from live derivatives data across 13 venues (CEXs, Hyperliquid and GMX).

[measured] Footprint chart data: for each candle, taker BUY and taker SELL volume in USD and the trade count at each of 30 price levels, from the archived trade streams of Binance, Bybit, OKX, Bitget and Gate. Use it to see at which prices aggressive buyers or sellers were absorbed; for the net flow over time by trade size use get_cvd. symbol: BTCUSDT, ETHUSDT or SOLUSDT only. minu

Cumulative volume delta split by trade size (retail <$10K, mid <$100K, large <$1M, whale >$1M). Whale-vs-retail divergence is the usual smart-money reading; buckets are per published row and only Binance aggregates taker orders, so compare buckets within one exchange (exchange=binance) rather than across venues.

Order-book wall lifecycle heuristic: large levels classified as active_wall / absorbed / pulled_wall / suspected_spoof based on whether trades executed into them before they vanished.

Get a free LiquidVision API key for this agent's owner, by email, without a browser. Works for a NEW email only (an existing account's key is never returned; its owner sees it at liquidvision.app/data). Use the key as X-API-Key on REST or on this MCP endpoint for 300 req/min instead of the shared anonymous budget, and to upgrade later to Pro/Bot (history exports, webhook alerts). A

[measured] Historical rows as CSV, for backtests. dataset: liquidations | funding_settlements (since 2024-09) | funding_hourly | open_interest_hourly | hl_positions (Hyperliquid whale positions with liquidation prices). start/end are ISO dates (UTC). Without a key or on the free tier only the last 24 hours are available; Pro: any 31-day window; Bot: full history. The key is read fr

Subscribe an HTTPS URL to push alerts instead of polling (Pro: 3, Bot: 20 subscriptions). type='cascade': a liquidation cascade just ended, over min_usd and x_normal times the coin's normal minute. type='hl_near_liq': a Hyperliquid whale position over min_usd within max_dist_pct of its liquidation price. type='cluster_sweep': price reached one of the 10 largest modeled liquidation-

The webhook alert subscriptions that belong to the caller's API key (read-only): id, type, url, filters (symbol, min_usd, x_normal, max_dist_pct) and delivery health: last_status (HTTP code or error of the last delivery), fails (consecutive failures; a subscription pauses itself at 20) and active. Call it to find the id for delete_alert or to check why alerts stopped arriving. Need

Permanently delete one webhook alert subscription. DESTRUCTIVE and not reversible: deliveries to its URL stop at once and its signing secret is discarded (create_alert issues a new one). Only a subscription owned by the caller's API key can be deleted; an id belonging to another key returns {"deleted": false} and changes nothing. id: the number returned by create_alert or list_aler

[measured] Leveraged positions of the 10,000 largest Hyperliquid accounts with the exchange-reported liquidation price, closest to liquidation first (sort='value' = largest first). Filters: coin (BTC), side (long|short), min_usd, max_dist_pct. Each row carries the account address; pass it to get_hl_account. Snapshot age is in age_s.

[measured, RISK AHEAD, Lighter] REAL open positions on Lighter (zk perp DEX; crypto plus equity indices, stocks, forex, commodities) binned by Lighter's own liquidation price. Not a model. Use this for Lighter; get_hl_liquidation_map for Hyperliquid; get_liquidation_map (modeled) for the CEXs. Accounts are discovered from the public trade stream, so coverage (covered_long_pct/cover

[measured] Leveraged positions on Lighter with the exchange-reported liquidation price, closest to liquidation first (sort='value' = largest first). Filters: coin (BTC), side (long|short), min_usd, max_dist_pct. address is the Lighter account index, l1_address the wallet. Snapshot age is in age_s.

[measured] One Hyperliquid account by address: live positions (size, entry, mark, liquidation price, distance to liquidation, leverage, unrealized PnL), account value, and its archived position snapshots. History depth: 24 h free, 31 days Pro, everything since 2026-09-27 on Bot (key from the MCP connection's X-API-Key header, or api_key).

[measured] Tokenized stocks, indices, ETFs, commodities, FX, rates and pre-IPO names traded as PERPS on DEXs (Lighter and Hyperliquid builder markets): one row per underlying (NVDA, TSLA, S&P 500, Gold, EUR/USD, Anthropic...) with every venue's mark, open interest, 24 h volume, funding APR and the price gap between venues in bps. asset_class filters: equity | crypto_equity | etf |

[measured] Perp markets deployed on Hyperliquid by third parties (HIP-3 builder dexs): equity indices, single stocks, commodities and pre-IPO names such as xyz:SP500 or xyz:GOLD. For each dex: its markets (coin named dex:COIN), open interest in USD (one side), 24h volume, mark price, hourly funding and its APR. These are NOT in get_open_interest or get_funding_rates, which cover Hy