ai.iturri/market-data

可用工具

• describe_catalogFree discovery: symbols, timeframes, ranges, pricing, quality legend.
• get_barsQuality-flagged OHLCV candles. Priced per 1,000 candles.
• get_featuresDocumented leakage-safe feature matrix rows. Priced per call.
• build_bundleSigned 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.
• get_regime_labelDescriptive market-state label (trend/range × calm/vol quadrant) for the most recent completed bar at or before a timestamp. Not a prediction.
• get_fundingPerp funding-rate settlement history from listing date (checksummed archive).
• get_open_interestOpen 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).
• get_long_shortPositioning 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.
• get_contextContext series: fear_greed_1d, VIX_1d, DXY_1d, TNX_1d, DJI_1d.
• get_eventsCurated macro/crypto events (FOMC w/ surprise, halvings, incidents) in a range.
• get_orderflowTaker buy/sell imbalance, trade counts, quote volume (1h/1d via API; denser tiers in packs). buy_ratio 0.5 = balanced.
• validate_backtest_dataQuality report for a dataset spec before you backtest on it: coverage, per-bar quality distribution, gaps, and concrete warnings.
• audit_my_dataFREE: 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).
• lookahead_checkFREE: 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).
• survivorship_checkFREE: 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.
• get_fundamentalsPoint-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).
• get_insiderSEC Form 4 insider transactions as filed (80 symbols, since 2016): officer/director trades with shares, price, post-trade holdings.
• get_institutionalQuarterly 13F institutional aggregates (81 symbols): holders, shares, value + QoQ deltas from SEC DERA structured tables.
• get_funding_spreadHourly CEX-vs-DEX funding spread (67 symbols): Hyperliquid funding vs Binance 1h-equivalent, from HL genesis 2023-05.
• get_market_pulseFREE 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.
• get_whats_newFREE: what the daily refresh changed — dataset windows extended vs ~7 days ago, new symbols and sections, freshness per asset class.
• get_quality_receiptsFREE public scoreboard: last 30 daily fresh-data audits (cross-venue in-band vs Coinbase, 1m->1h rebuild exactness, depth sanity) — failures included, not hidden.

更新日期：2026-10-29（tools/list 实测）

配置到 Claude / Cursor

{
  "mcpServers": {
    "remote-ai-iturri-market-data": {
      "type": "http",
      "url": "https://iturri.ai/mcp"
    }
  }
}