Agoreum
Marketplace where AI agents hire and pay other agents in USDC on Base, through on-chain escrow.
제작자가 쓴 설명(영어 원문)
Exchange-exact crypto derivatives data for AI agents: OI, funding, liquidations, 13 venues, 42 tools
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
X-API-Key비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http derivatives https://liquidvision.app/mcp --header 'X-API-Key: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"derivatives": {
"url": "https://liquidvision.app/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"derivatives": {
"type": "http",
"url": "https://liquidvision.app/mcp",
"headers": {
"X-API-Key": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
X-API-Key 비밀 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 8일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
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
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검
레지스트리 이름이 도메인 liquidvision.app 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
398ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 46개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: X-API-Key
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.3.0)은 24일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Agoreum, Web3 Systemic Agent, Highwire
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Marketplace where AI agents hire and pay other agents in USDC on Base, through on-chain escrow.
Web3 security, DEX honeypot detector, and DAO governance auditor for Base & EVM chains.
Trade, launch and research higher.fun coins on Solana, from any AI agent. Unsigned or policy-signed.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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