CryptoCoinStat
Checks on crypto tokens: live code, source gaps, real cap, owner powers, unlocks, signals.
คำอธิบายจากผู้ทำ (ภาษาอังกฤษตามต้นฉบับ)
Exchange-exact crypto derivatives data for AI agents: OI, funding, liquidations, 13 venues, 42 tools
สามเรื่องนี้ไม่รวมเป็นคะแนนเดียว เพราะความเห็น การวัด และความนิยม เป็นคนละเรื่องกัน
ตัวนี้ยังไม่ได้เรียบเรียงเป็นภาษาไทย ด้านล่างคือข้อเท็จจริงที่เราอ่านจาก registry
เลือกโปรแกรม AI ที่คุณใช้ แล้วคัดลอกค่าตั้งไปวาง
X-API-Keyค่าที่ติดป้ายความลับคือกุญแจของบัญชีคุณ อย่าส่งให้ใคร และอย่าวางในแชต
ต้องเตรียมก่อน
คุณใช้แอปไหน
เลือกแอปด้านบน เราจำไว้ให้ ครั้งหน้าปุ่มจะขึ้นว่า “ติดตั้งลง …”
ที่อยู่นี้ต้องใส่ key ใน header ของคำขอ ซึ่งเมนูเพิ่ม connector ใส่ให้ไม่ได้ ใช้ Claude Code, Cursor หรือ VS Code แทน
พิมพ์คำสั่งนี้ใน Terminal
claude mcp add --transport http derivatives https://liquidvision.app/mcp --header 'X-API-Key: ใส่ค่าของคุณ'เติมค่าที่เว้นว่างไว้ก่อนรัน
วางในไฟล์ .cursor/mcp.json ของโปรเจกต์ หรือ ~/.cursor/mcp.json
{
"mcpServers": {
"derivatives": {
"url": "https://liquidvision.app/mcp",
"headers": {
"X-API-Key": "ใส่ค่าของคุณ"
}
}
}
}เบราว์เซอร์จะถามก่อนเปิดแอป จากนั้นแอปแสดงค่าตั้งให้ตรวจแล้วกดยืนยัน ช่อง key เว้นว่างไว้ให้คุณใส่เอง
วางในไฟล์ .vscode/mcp.json ของโปรเจกต์
{
"servers": {
"derivatives": {
"type": "http",
"url": "https://liquidvision.app/mcp",
"headers": {
"X-API-Key": "ใส่ค่าของคุณ"
}
}
}
}เบราว์เซอร์จะถามก่อนเปิดแอป จากนั้นแอปแสดงค่าตั้งให้ตรวจแล้วกดยืนยัน ช่อง key เว้นว่างไว้ให้คุณใส่เอง
ที่อยู่นี้ต้องใส่ key ใน header ของคำขอ ซึ่งเมนูเพิ่ม connector ใส่ให้ไม่ได้ ใช้ Claude Code, Cursor หรือ VS Code แทน
ตัวเลือกเก็บในคุกกี้บนเครื่องนี้ ไม่ต้องมีบัญชี
X-API-Key ความลับ HTTP headerค่าตั้งนี้สร้างจากข้อมูลใน registry ของผู้ทำ ถ้าไม่ตรงกับ README ให้เชื่อ README
ชื่อและคำอธิบายเครื่องมือตามที่ server ตอบมาเมื่อ 8 พ.ย. 2569 ผู้ทำเป็นคนเขียน ไม่ใช่เรา แสดงเป็นข้อความล้วน
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 unsure which symbol or exchange string another tool accepts.
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/max), plus how the modeled liquidation map scored against realized liquidations. Read this before trust
get_funding_ratesLatest perpetual funding rates and mark prices for every tracked exchange/symbol pair. Positive rate = longs pay shorts.
get_microstructureCross-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 apa
get_positioning_regimePer-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
get_liquidation_cascades[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
list_history_packages[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 en
get_funding_arbitrage[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; po
get_funding_dispersionCoins 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 settlemen
get_funding_settlementsSettled 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.
get_open_interestLatest open interest (contracts and USD) per exchange/symbol.
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 up or unwound; for the current snapshot with shares and 1h/4h/24h changes use get_oi_board, for every contr
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 funding_hours (that contract's interval: 1, 4 or 8). Annualize as rate * 8760 / funding_hours. This is the
get_long_short_ratioLatest global long/short account ratio per exchange/symbol.
get_liquidations[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_liquid
get_liquidations_summary[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 i
get_oi_boardPer-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.
get_cash_flowsDerivatives cash flow per exchange: net USD into/out of open interest over 1h/4h/24h windows, per core symbol. Positive = money flowing in.
get_arbitrum_perpsArbitrum 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'.
get_top_tradersTop 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.
get_token_unlocksUpcoming token unlock events for pool coins, nearest first: next unlock timestamp and token amount per public vesting schedule.
get_stocksCrypto-related equities (COIN, MSTR, miners) and spot BTC/ETH ETF quotes: price, day change %, range, volume. ~15-min delayed.
get_liquidation_map[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_heat
get_hl_liquidation_map[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 cov
get_liquidation_heatmap[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 t
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, price_step and time_step (seconds) describing the grid. Shows where bid and ask walls stood and when t
get_market_briefDeterministic 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 invol
askONE CALL instead of five: ask in plain words ('where is leverage stacked on BTC', 'why did ETH drop', 'is SOL funding crowded', 'biggest whales near liquidation') and get `answer`: short statements with the numbers in them, `facts`: the same numbers as JSON, `sources`: which endp
get_precedents[measured] When did the market look like this before, and what did price do next? Scans our hourly archive for hours whose positioning resembled now (OI change 24h within 3 pp, funding APR within 15 points and same sign, long share within 5 pp, liquidation volume within x2.5), on
explain_marketAI 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).
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 Binance, Bybit, OKX, Bitget and Gate. Use it to see at which prices aggressive buyers or sellers were absorb
get_cvdCumulative 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=bi
get_spoofingOrder-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_api_keyGet 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: 120 req/min instead
get_history[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
create_alertSubscribe an HTTPS URL to push alerts instead of polling (Pro: 3, Bot: 20 subscriptions). type='condition': YOUR OWN trigger on one symbol — fires when `metric` `op` `threshold` becomes true (edge-triggered: once per crossing, again only after it was false). metric = funding_apr_
list_alertsThe 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
delete_alertPermanently 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
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 first). Filters: coin (BTC), side (long|short), min_usd, max_dist_pct. Each row carries the account address
get_detective_events[measured] Detective: what the watched large holders did. Private wallets with a large share of a token's supply (Ethereum, Solana) and Hyperliquid accounts with a large share of a contract's open interest are watched live. Event types: to_exchange (a watched wallet sent tokens t
get_lighter_liquidation_map[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)
get_lighter_whales[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. Snapsho
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 its archived position snapshots. History depth: 24 h free, 31 days Pro, everything since 2026-09-27 on Bot (
get_tokenized_stocks[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, f
get_hl_builder_markets[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 pr
get_hip3_markets[measured] The HIP-3 board: Hyperliquid's builder-deployed perp markets (equity indices, stocks, commodities, pre-IPO names; coins named dex:COIN such as xyz:SP500) with what the live list alone cannot tell you. Per dex: OI, share, 24h/7d OI change, 24h volume, liquidations. Per
เราตรวจจากข้อมูลที่ใครก็เปิดดูได้ ยังไม่ได้อ่านโค้ด ข้อที่ไม่เกี่ยวกับตัวนี้ไม่นับในตัวหาร · ตรวจเมื่อ 8 พ.ย. 2569
ชื่อใน registry ยืนยันโดเมน liquidvision.app แล้ว (registry ตรวจความเป็นเจ้าของโดเมน)
ยังไม่ได้อ่านข้อมูล repo จาก GitHub
ยังไม่ได้อ่านข้อมูล repo จาก GitHub
ตอบกลับใน 398 ms (HTTP 200)
ไม่ต้องล็อกอิน
อ่านคำอธิบายเครื่องมือ 46 ตัวแล้ว ไม่พบคำสั่งแอบแฝงถึง AI
เทียบกับทุก server ที่ยังใช้งานในหมวดนี้ทั้งทะเบียน ดาวนับเฉพาะเมื่อผู้ลงทะเบียนเป็นเจ้าของ repo
จากการตรวจเบื้องต้นของเรา ผ่าน 3 จาก 3 ข้อที่ตรวจได้ เรายังไม่ได้อ่านโค้ด ก่อนใส่กุญแจหรือ token ให้ดูว่า server ขอสิทธิ์อะไร และเลือกกุญแจที่ทำได้เท่าที่จำเป็น
ต้องใส่ค่าเหล่านี้: X-API-Key
รันบนคลาวด์ของผู้ทำ ต่อผ่านอินเทอร์เน็ตได้เลย ไม่ต้องลงโปรแกรม แต่ข้อมูลที่ส่งให้จะผ่านเซิร์ฟเวอร์ของผู้ทำ
repo บน GitHub มีการแก้โค้ดล่าสุด – และส่งรุ่นล่าสุด (1.3.0) เข้า registry 23 วันที่ผ่านมา
โปรแกรมที่รองรับ MCP เช่น Claude Desktop, Claude Code, Cursor และ VS Code ตัวนี้ต่อผ่าน URL จึงใช้กับโปรแกรมที่รับ remote MCP ได้ เช่น ChatGPT ที่เปิดโหมดนักพัฒนา
ในหมวดเดียวกันมี CryptoCoinStat, lcas, LandedFX
server หมวดเดียวกันจากผู้ทำคนอื่น เรียงตามดาว
อ่านการ์ด:↓ ดาวน์โหลดต่อสัปดาห์i★ ดาว GitHubiสามเสา: รีวิว · ผลตรวจ · การใช้งานiอัปเดต = วันที่ส่งรุ่นล่าสุดเข้า registryi
Checks on crypto tokens: live code, source gaps, real cap, owner powers, unlocks, signals.
Find ERC-8004 agents on Ethereum and Base whose MCP or A2A endpoints actually answer.
All-in FX quotes and routes between 25 local currencies and stablecoins, after every fee.
ส่วนนี้คัดจาก repo ของผู้ทำตามต้นฉบับ PopNx MCP ไม่ได้ตรวจหรือรับรองเนื้อหา ตัด HTML รูปภาพ และสคริปต์ออกแล้ว ลิงก์จะพาออกนอกเว็บ
Crypto derivatives data for AI agents and trading bots: a remote MCP server, no install, no API key needed.
Endpoint: https://liquidvision.app/mcp (Streamable HTTP, 42 tools, read-only; the raw-row tools need a Pro/Bot key sent as X-API-Key, the conclusion tools do not) Lite endpoint: https://liquidvision.app/mcp/lite — the 13 tools that return conclusions (brief, explain, regime, cascades, dispersion, carry, microstructure, three liquidation maps, tokenized stocks, accuracy). Start here if your agent answers questions; use the full server for raw rows, history and alerts. Discovery: /.well-known/agent-card.json, /.well-known/mcp.json, /.well-known/x402.json; worked examples at /llms-full.txt.
Registry: server.json in this repo is the manifest for the Official MCP Registry (io.github.lv-analytics/liquidvision); also listed on Glama and in awesome-remote-mcp-servers.
Open interest and funding rates across 13 venues (Binance, MEXC, Bybit, Bitget, Hyperliquid, HTX, Gate, OKX, KuCoin, BingX, Aster, Kraken, GMX on Arbitrum), as each exchange reports them. An audit compares our figures with the exchanges' own endpoints every 10 minutes and publishes the result: https://liquidvision.app/accuracy (tool: get_accuracy).
Start with list_markets, then the computed views. They return a conclusion, not a pile of ticks:
| Tool | Answers |
|---|---|
get_liquidation_cascades | Liquidations grouped into events: start, duration, multiples of normal, what price did |
get_positioning_regime | Price direction x change in positions per coin: new longs, short covering, new shorts, long flush |
get_funding_dispersion | Coins ranked by how far funding disagrees across venues, each leg annualized with its real settlement cycle |
get_funding_arbitrage | Realized funding carry per coin: what the short-richest / long-cheapest pair earned over 7 and 30 days, share of positive hours, mark gap now |
get_tokenized_stocks | Tokenized stocks, indices, commodities, FX and pre-IPO names as perps on Lighter, Hyperliquid builder markets, Ostium and gTrade: OI, volume, funding, cross-venue price gap |
get_microstructure | Cross-venue spread, top-of-book depth, basis |
get_market_brief | One deterministic risk brief for a symbol: feed it to your own model |
explain_market | "Why did BTC drop 4%?": a grounded answer built from the live data |
Measured, not modeled (Hyperliquid and Lighter, where positions are public):
| Tool | Returns |
|---|---|
get_hl_whales | Leveraged positions of the 10,000 largest accounts with exchange-reported liquidation prices, closest to liquidation first |
get_hl_account | One address: live positions, liquidation prices, archived snapshots |
get_hl_liquidation_map | Those positions binned by liquidation price |
get_hl_builder_markets | Builder-deployed (HIP-3) perp markets on Hyperliquid: equity indices, stocks, commodities, with open interest, volume, funding |
get_lighter_liquidation_map | Measured liquidation map for Lighter: positions binned by the exchange-reported liquidation price, with the share of venue open interest covered |
get_lighter_whales | Lighter positions with exchange-reported liquidation prices, closest to liquidation first (address = account index, l1_address = wallet) |
Raw data: get_funding_rates, get_funding_history, get_funding_settlements, get_open_interest, get_open_interest_history, get_oi_board, get_cash_flows, get_long_short_ratio, get_liquidations, get_liquidations_summary, get_liquidation_map, get_liquidation_heatmap, get_orderbook_heatmap, get_footprint, get_cvd, get_spoofing, get_arbitrum_perps, get_top_traders, get_token_unlocks, get_stocks.
For bots: get_api_key (a free key by email, without a browser), get_history (archive rows as CSV for backtests), list_history_packages (monthly Parquet files per dataset with rows, bytes and sha256; Pro: this and last month, Bot: all), create_alert, list_alerts, delete_alert (webhooks: a liquidation cascade ended, a Hyperliquid whale is near liquidation, price reached a large modeled cluster).
Claude Code
claude mcp add --transport http liquidvision https://liquidvision.app/mcp
Claude Desktop / claude.ai: Settings → Connectors → Add custom connector, URL https://liquidvision.app/mcp.
Cursor / Windsurf / any client with an `mcp.json`
{
"mcpServers": { "liquidvision": { "url": "https://liquidvision.app/mcp" } } }
Raw JSON-RPC
curl -X POST https://liquidvision.app/mcp \
-H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Copy skills/liquidvision into ~/.claude/skills/ (or a project's .claude/skills/). It tells the agent which tool answers which question, how to read measured vs modeled data, and how to pay per file with x402 when history is needed.
The same data is a REST API and a WebSocket feed (https://liquidvision.app/llms.txt lists every endpoint). Two small clients live in clients/: Python (standard library only; pip install "liquidvision[x402]" for pay-per-call) and JavaScript (built-in fetch; bring any EIP-712 signer for pay-per-call). Both start at brief().
from liquidvision import LiquidVision
lv = LiquidVision() lv.brief("BTCUSDT") # one coin, one JSON lv.hl_whales(coin="BTC", max_dist_pct=5)["positions"] lv.export("liquidations", symbol="BTCUSDT", start="2026-09-01", end="2026-09-08") lv = LiquidVision(payer=X402Payer("0x...")) # pay per file in USDC without an account lv.package("liquidations", "2026-08", "liq_2026-08.parquet")
Drop-in pieces for agent frameworks and trading bots, all on the free endpoints and fail-open: LangChain / LangGraph toolkit (pip install langchain-liquidvision, listed in the LangChain integrations docs), CrewAI tools (pip install crewai-liquidvision), ElizaOS plugin, Freqtrade guard, Hummingbot cascade guard. Overview: integrations/.
examples/passivbot_funding_filter.py: keeps Passivbot out of coins where holding the position is expensive (funding annualized with the contract's real interval) or where a liquidation cascade is running. Writes the ignored_coins file Passivbot reads continuously. Standard library only, no key: python examples/passivbot_funding_filter.py --exchange bybit --onceexamples/binance_liq_probe.py: which Binance host actually delivers the liquidation stream.collectors/gmx_v2.py: a standalone GMX v2 (Arbitrum) collector.X-API-Key or Authorization: Bearer lv_.... Paid plans (history exports, webhook alerts, higher limits): https://liquidvision.app/pricingexplain_market costs real money to run: 5 answers/day anonymous, 25 with a free key.age_s (seconds since the data was read from the exchange); rows of get_open_interest, get_funding_rates and get_long_short_ratio carry age_s each and stale: true when a venue feed is behind.openInterest as "the sum of both sides" and we serve its singleOpenInterest; Gate and HTX report both sides and are halved. An aggregator showing those venues at twice our figure is showing both sides. Commands to check this yourself: docs/coinglass-vs-exchanges.md.BASEUSDT (BTCUSDT, ETHUSDT, ...). Computed views accept a fixed set of window sizes; other values snap to the nearest.More for agents: https://liquidvision.app/llms.txt · REST/OpenAPI: https://liquidvision.app/api/v1/docs · status and uptime: https://liquidvision.app/status