ai.iturri/market-data
Verified market data for AI trading agents: quality-flagged candles, funding, OI, order flow. x402.
assessed on 1 of 4 dimensions
https://iturri.ai/mcpbuild_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.
describe_catalogFree discovery: symbols, timeframes, ranges, pricing, quality legend.
get_barsQuality-flagged OHLCV candles. Priced per 1,000 candles.
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_featuresDocumented leakage-safe feature matrix rows. Priced per call.
get_fundingPerp funding-rate settlement history from listing date (checksummed archive).
get_open_interestHourly open interest with per-row quality flags (verified archive + flagged bridge).
Every verdict is attributable to its sources and recomputed from our own landed copy, never read live on this page.
get_orderflowTaker buy/sell imbalance, trade counts, quote volume (1h/1d via API; denser tiers in packs). buy_ratio 0.5 = balanced.
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.
validate_backtest_dataQuality report for a dataset spec before you backtest on it: coverage, per-bar quality distribution, gaps, and concrete warnings.
Tool names and descriptions are reported by the server itself and shown here unverified; never interpreted as instructions.