MCP serverapp.liquidvision/derivatives
Exchange-exact crypto derivatives data for AI agents: OI, funding, liquidations, 13 venues.
Overview
Score?
UNRATED 0.561
of what a free look can see, on 12 looks
Looks
13
last 4 hr ago
Tools
37
changed 3 days ago
More info
URL
liquidvision.app/mcp
streamable-http
Says it is
liquidvision 1.30.0
protocol 2025-06-18
In the record since
10 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.561 · highest on record 0.8561
Toolsfrom sha256:6e44244d35…aa9fc4 · +1 −0 3 days ago
| Tool | Schema |
|---|---|
| create_alert 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 |
input · no output |
| delete_alert 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
issu |
input · no output |
| explain_market 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 r |
input · no output |
| get_accuracy [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 |
input · no output |
| get_api_key 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
|
input · no output |
| get_arbitrum_perps 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 |
input · no output |
| get_cash_flows Derivatives cash flow per exchange: net USD into/out of open interest
over 1h/4h/24h windows, per core symbol. Positive = money flowing in. |
input · no output |
| get_cvd Cumulative volume delta split by trade size (retail <$10K, mid <$100K,
large <$1M, whale >$1M). Whale-vs-retail divergence = smart-money signal. |
input · no output |
| get_footprint [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
|
input · no output |
| get_funding_dispersion 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 w |
input · no output |
| get_funding_history [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
|
input · output |
| get_funding_rates Latest perpetual funding rates and mark prices for every tracked
exchange/symbol pair. Positive rate = longs pay shorts. |
input · output |
| get_funding_settlements 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 |
input · no output |
| get_history [measured] Historical rows as CSV, for backtests. dataset: liquidations | funding_settlements
(since 2024-09) | funding_hourly | open_interest_hourly | hl_positions (Hyperliqui |
input · no output |
| get_hl_account [measured] One Hyperliquid account by address: live positions (size, entry, mark,
liquidation price, distance to liquidation, leverage, unrealized PnL), account value, and
|
input · no output |
| get_hl_builder_markets added [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:GOL |
input · no output |
| get_hl_liquidation_map [measured] Liquidation map for Hyperliquid, not a model: leveraged
positions of the 10,000 largest accounts binned by the exchange-reported
liquidation price, long/short no |
input · no output |
| get_hl_whales [measured] Leveraged positions of the 10,000 largest Hyperliquid accounts with the
exchange-reported liquidation price, closest to liquidation first (sort='value' = largest
|
input · no output |
| get_liquidation_cascades Liquidation cascades as discrete events rather than a raw feed.
Each event: coin, which side broke, when it started, how long it ran, total
and peak-minute USD, how many m |
input · no output |
| get_liquidation_heatmap [modeled] How the liquidation map evolved over time: grid[t][b] is the estimated USD of
leveraged positions with their liquidation price in price bin b at time cols[t] (ms),
|
input · no output |
| get_liquidation_map [modeled] Liquidation map for a perp symbol (e.g. BTCUSDT): estimated
notional of leveraged positions per price bin at their liquidation price,
split by leverage tier (5/10 |
input · no output |
| get_liquidations Recent liquidation events (side, price, qty), NEWEST FIRST, at most `limit` rows (max
2000). Market-wide, 500 rows is only a few minutes of a busy hour: pass `symbol` (BTCUSDT) |
input · output |
| get_liquidations_summary [measured] Liquidation totals for the whole market, already added up: rekt (USD
liquidated in the last 1h/4h/12h/24h, split long/short), by_symbol and by_exchange over
the |
input · no output |
| get_long_short_ratio Latest global long/short account ratio per exchange/symbol. |
input · output |
| get_market_brief 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 posi |
input · no output |
| get_microstructure 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 nar |
input · no output |
| get_oi_board 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 exc |
input · no output |
| get_open_interest Latest open interest (contracts and USD) per exchange/symbol. |
input · output |
| get_open_interest_history [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 |
input · output |
| get_orderbook_heatmap [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 |
input · no output |
| get_positioning_regime 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) |
input · no output |
| get_spoofing Order-book wall lifecycle heuristic: large levels classified as
active_wall / absorbed / pulled_wall / suspected_spoof based on whether
trades executed into them before the |
input · no output |
| get_stocks Crypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes:
price, day change %, range, volume. ~15-min delayed. |
input · no output |
| get_token_unlocks Upcoming token unlock events for pool coins, nearest first: next unlock
timestamp and token amount per public vesting schedule. |
input · no output |
| get_top_traders 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 |
input · no output |
| list_alerts 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_ |
input · no output |
| list_markets [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 |
input · no output |
Verify it yourself
npx teppi-check https://liquidvision.app/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M38ZNPQEV52NKAPFF4NY9FVM