describe_catalog
Free discovery: symbols, timeframes, ranges, pricing, quality legend.
无需输入参数。

ai.iturri由 iturri.ai 发布官方发布者v0.2.2更新于 Oct 27, 2026
Verified market data for AI trading agents: quality-flagged candles, funding, OI, order flow. x402.
托管型 MCP 服务器,为助手提供经过验证的加密货币与美股行情历史:带质量标记的 K 线、资金费率、持仓量、订单流及 SEC 文件。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/ai.iturri%2Fmarket-data/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"market-data": {
"type": "http",
"url": "https://iturri.ai/mcp"
}
}
}Hosted MCP server. No install, nothing to run — connect to https://iturri.ai/mcp.
Iturri is a data library for trading-bot and AI-agent builders: verified crypto and US-equity history, leakage-safe features, and an agent-native API. Coverage is deliberately narrow — 120 liquid symbols (34 crypto since 2015-12 at 1m/5m/15m/1h/1d, 86 US stocks & ETFs EOD since 2016), not tens of thousands of tickers. Every candle is traceable to a SHA-256-checksummed primary source, cross-checked against a second primary venue, and shipped with a data card. Data is T+1 fresh (candles refresh daily at 08:30 UTC); this is history you can trust, not a real-time stream.
Free data sources silently patch gaps and restate history, and an agent has no way to know. Iturri never patches silently: every bar carries its own verdict — verified, raw, reconciled, interpolated, disputed, or outage — so an agent can filter to verified bars in one step, or call validate_backtest_data and read the coverage, flag distribution, gaps, and warnings for a range before trusting a backtest result. 99.8%+ of the 124.5M+ crypto bars carry the verified flag, backed by published audit numbers (BTC: 87,643 bars, 100.00% agreement with Coinbase Exchange; cross-timeframe 1m→1h audit 98.95% exact / 99.93% in-band over 2.4M hours).
The endpoint is streamable HTTP: https://iturri.ai/mcp (JSON-RPC 2.0 over POST; GET /mcp returns a human/agent-readable descriptor).
Add to claude_desktop_config.json (see examples/claude_desktop_config.json):
Point a streamable-HTTP MCP client at https://iturri.ai/mcp. Optionally send Authorization: Bearer <membership token>. Omit the header and paid tools return x402 quotes that payment-capable agents settle per call (x402 MCP transport, _meta["x402/payment"]).
Then ask the model to call describe_catalog (free) and go from there.
POST /api/subscribe, pay $39 via x402, receive the token — no human in the loop.describe_catalog is free forever — discovery costs nothing.User: Is Iturri's SOL hourly data clean enough to backtest over 2023?
Claude: (calls
describe_catalog— free — confirms SOL 1h coverage; then callsvalidate_backtest_datafor SOL/1h/2023-01-01→2024-01-01) The quality report shows the coverage for that range, the per-flag distribution, and any gaps or warnings. If the verified share is high and there are no warnings, fetching the bars withget_barsand filtering toverifiedgives you an honest backtest input. I can pull the bars next — that call is priced at $0.001 per 1,000 candles.
Hard line: Iturri sells data and tooling only. Nothing in any dataset, feature, label, or tool is a trading signal, a prediction, or financial advice. Verified history describes the past; it promises nothing about the future.
来源:README.md,提交 e4a7f96
Free discovery: symbols, timeframes, ranges, pricing, quality legend.
无需输入参数。
Quality-flagged OHLCV candles. Priced per 1,000 candles.
tf必填endstartsymbol必填Documented leakage-safe feature matrix rows. Priced per call.
tf必填endstartsymbol必填Signed URL for a dataset SKU. Packs: crypto|equities ($59 each), everything ($149: both packs + all token sequences, $730 list), tokens ($18/symbol), dataset (per-symbol OHLCV, crypto $14 / equity $5), mtf (aligned multi-timeframe bundle $9, crypto only), features (feature matrix, crypto $7 / equity $4). Priced as the SKU.
tfpack必填symbolDescriptive market-state label (trend/range × calm/vol quadrant) for the most recent completed bar at or before a timestamp. Not a prediction.
symbol必填timestamp必填Perp funding-rate settlement history from listing date (checksummed archive).
endstartsymbol必填Open interest with per-row quality flags (verified archive + flagged bridge). tf=1h (default, full history) or tf=5m (archive-native 5-minute rows from 2020-09; ranged pulls, ~100k rows max per call).
tfendstartsymbol必填Positioning ratios at 5-minute cadence from the checksummed venue archive (2020-09+): top-trader long/short by accounts and by position size, all-accounts long/short, taker buy/sell volume ratio. Ranged pulls, ~100k rows max per call.
endstartsymbol必填Context series: fear_greed_1d, VIX_1d, DXY_1d, TNX_1d, DJI_1d.
endstartseries必填Curated macro/crypto events (FOMC w/ surprise, halvings, incidents) in a range.
endtypestartTaker buy/sell imbalance, trade counts, quote volume (1h/1d via API; denser tiers in packs). buy_ratio 0.5 = balanced.
tfendstartsymbol必填Quality report for a dataset spec before you backtest on it: coverage, per-bar quality distribution, gaps, and concrete warnings.
tf必填endstartsymbol必填FREE: submit YOUR OHLCV bars and get an accuracy verdict against the verified archive — score, worst windows, systematic-offset findings. Tells you what's wrong, not the corrected values (that's get_bars).
tf必填bars必填symbol必填FREE: submit backtest signals ({t, price}) and get an execution-feasibility verdict — impossible fills outside the bar's traded range, fills pinned at bar extremes (classic lookahead bias).
tf必填symbol必填signals必填FREE: submit a backtest universe + window and get a survivorship-bias verdict — which of your symbols died mid-window, and which delisted symbols we cover that your universe omits.
endassetstartsymbols必填Point-in-time SEC XBRL fundamentals (80 filers, incl. delisted): every restatement vintage with its filed date. Pass as_of for what was knowable then. Filter by concept (e.g. Assets, Revenues).
endas_ofstartsymbol必填conceptSEC Form 4 insider transactions as filed (80 symbols, since 2016): officer/director trades with shares, price, post-trade holdings.
endstartsymbol必填Quarterly 13F institutional aggregates (81 symbols): holders, shares, value + QoQ deltas from SEC DERA structured tables.
endstartsymbol必填Hourly CEX-vs-DEX funding spread (67 symbols): Hyperliquid funding vs Binance 1h-equivalent, from HL genesis 2023-05.
endstartsymbol必填FREE daily pulse across the catalog: regime flips, funding extremes, CEX-vs-DEX spread extremes, biggest daily moves. One day of values — the history behind each number is the priced product.
无需输入参数。
FREE: what the daily refresh changed — dataset windows extended vs ~7 days ago, new symbols and sections, freshness per asset class.
无需输入参数。
FREE public scoreboard: last 30 daily fresh-data audits (cross-venue in-band vs Coinbase, 1m->1h rebuild exactness, depth sanity) — failures included, not hidden.
无需输入参数。
已满足适用检查项的 100%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
{ "mcpServers": { "iturri": { "type": "http", "url": "https://iturri.ai/mcp", "headers": { "Authorization": "Bearer <membership token — optional>" } } }}claude mcp add --transport http iturri https://iturri.ai/mcp