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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YJV9VVeH2BwH9kyH9fhSiN","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"e18eb6c0bd344262\",\n  \"datasets\": [\n    \"aevo/orderbook\",\n    \"aevo/ticker\",\n    \"apex/orderbook\",\n    \"apex/trades\",\n    \"aster/usdm/trades\",\n    \"bybit/liquidations\",\n    \"derive/auctions\",\n    \"derive/margin\",\n    \"derive/trades\",\n    \"dydx/orderbook\",\n    \"dydx/trades\",\n    \"edgex/depth\",\n    \"edgex/ticker\",\n    \"edgex/trades\",\n    \"extended/funding\",\n    \"extended/mark_price\",\n    \"extended/orderbook\",\n    \"gains/registerTrade\",\n    \"gains/unregisterTrade\",\n    \"gains/updatePositionSize\",\n    \"gmx/deposits\",\n    \"gmx/orders\",\n    \"gmx/withdrawals\",\n    \"grvt/book\",\n    \"grvt/ticker\",\n    \"grvt/trades\",\n    \"hyperliquid/activeAssetCtx\",\n    \"hyperliquid/liquidation_events\",\n    \"hyperliquid/liquidation_map\",\n    \"hyperliquid/liquidation_map_accuracy\",\n    \"hyperliquid/risk_positions\",\n    \"hyperliquid/risk_scan_log\",\n    \"hyperliquid/risk_state_census\",\n    \"hyperliquid/risk_traders\",\n    \"hyperliquid/scan_audits\",\n    \"hyperliquid/trades\",\n    \"kalshi/orderbook_delta\",\n    \"kalshi/ticker\",\n    \"kalshi/trade\",\n    \"lighter/market_stats\",\n    \"lighter/trades\",\n    \"mexc/funding_rate\",\n    \"nado/best_bid_offer\",\n    \"nado/book_depth\",\n    \"nado/funding_payment\",\n    \"nado/funding_rate\",\n    \"nado/liquidation\",\n    \"nado/trades\",\n    \"pacifica/book\",\n    \"pacifica/prices\",\n    \"pacifica/trades\",\n    \"paradex/bbo\",\n    \"paradex/trades\",\n    \"polymarket/book\",\n    \"polymarket/last_trade_price\",\n    \"polymarket_catalog/metadata\",\n    \"polymarket_chain/redemptions\",\n    \"polymarket_chain/resolutions\",\n    \"polymarket_chain/trades\",\n    \"rho/orderbook\",\n    \"rho/ticker\",\n    \"rho/trades\"\n  ],\n  \"feed_defaults\": {\n    \"kind\": \"trades\",\n    \"serves_bars\": true,\n    \"clock\": \"exchange (the venue's own timestamp)\",\n    \"direction_measured\": true,\n    \"note\": \"Everything not listed in feed_exceptions follows these. Call describe_dataset('<dataset>') for one dataset's full declaration — it takes a bare name, no symbol needed.\"\n  },\n  \"feed_exceptions\": {\n    \"state_no_bars\": [\n      \"aevo/orderbook\",\n      \"aevo/ticker\",\n      \"apex/orderbook\",\n      \"derive/auctions\",\n      \"derive/margin\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"edgex/ticker\",\n      \"extended/funding\",\n      \"extended/mark_price\",\n      \"extended/orderbook\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"gmx/deposits\",\n      \"gmx/orders\",\n      \"gmx/withdrawals\",\n      \"grvt/book\",\n      \"grvt/ticker\",\n      \"hyperliquid/activeAssetCtx\",\n      \"hyperliquid/liquidation_map\",\n      \"hyperliquid/liquidation_map_accuracy\",\n      \"hyperliquid/risk_scan_log\",\n      \"hyperliquid/risk_state_census\",\n      \"hyperliquid/risk_traders\",\n      \"hyperliquid/scan_audits\",\n      \"kalshi/orderbook_delta\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"mexc/funding_rate\",\n      \"nado/best_bid_offer\",\n      \"nado/book_depth\",\n      \"nado/funding_payment\",\n      \"nado/funding_rate\",\n      \"pacifica/book\",\n      \"pacifica/prices\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_catalog/metadata\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"observation_clock\": [\n      \"aevo/orderbook\",\n      \"apex/orderbook\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"hyperliquid/activeAssetCtx\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"mexc/funding_rate\",\n      \"nado/book_depth\",\n      \"nado/trades\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"direction_unmeasured\": [\n      \"aevo/orderbook\",\n      \"aevo/ticker\",\n      \"apex/orderbook\",\n      \"bybit/liquidations\",\n      \"derive/auctions\",\n      \"derive/margin\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"edgex/ticker\",\n      \"edgex/trades\",\n      \"extended/funding\",\n      \"extended/mark_price\",\n      \"extended/orderbook\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"gmx/deposits\",\n      \"gmx/orders\",\n      \"gmx/withdrawals\",\n      \"grvt/book\",\n      \"grvt/ticker\",\n      \"grvt/trades\",\n      \"hyperliquid/activeAssetCtx\",\n      \"hyperliquid/liquidation_map\",\n      \"hyperliquid/liquidation_map_accuracy\",\n      \"hyperliquid/risk_positions\",\n      \"hyperliquid/risk_scan_log\",\n      \"hyperliquid/risk_state_census\",\n      \"hyperliquid/risk_traders\",\n      \"hyperliquid/scan_audits\",\n      \"kalshi/orderbook_delta\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"lighter/trades\",\n      \"mexc/funding_rate\",\n      \"nado/best_bid_offer\",\n      \"nado/book_depth\",\n      \"nado/funding_payment\",\n      \"nado/funding_rate\",\n      \"nado/liquidation\",\n      \"pacifica/book\",\n      \"pacifica/prices\",\n      \"pacifica/trades\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_catalog/metadata\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"what_these_mean\": \"state_no_bars: snapshots, not events — no price/size column, get_ohlcv and get_activity_bars refuse them, use run_query. observation_clock: served on our recorded_at because the venue timestamp is a state epoch that does not advance while the state is unchanged. direction_unmeasured: canonical `side` reads 'unknown'; do NOT infer direction from the raw column — coinbase reports the MAKER's side, so the obvious reading is backwards there.\"\n  },\n  \"access_mode\": \"public\",\n  \"catalog_ready\": true,\n  \"data_quality\": {\n    \"catalog_built\": true,\n    \"mean_shard_coverage\": 0.442,\n    \"dataset_days_measured\": 9405,\n    \"dataset_days_below_threshold\": 7603,\n    \"unreadable_days\": 0,\n    \"warning\": \"PARTIAL DATA: shards in this range hold only ~44% of their 2-hour windows on average (known upstream issue: shards built from only their first ~31 minutes of data). Bars at 1h and coarser are computed from a fraction of the trades, so their high, low, volume and close are not representative. Gaps are real missing data, not quiet markets.\",\n    \"what_this_means\": \"Shards exist for every window, but each holds only part of it, and the missing part is systematically the later portion of each 2-hour window — not a random sample. Bars at 1h and coarser are computed from a fraction of the trades. Treat volume, VWAP and any time-of-day analysis as unreliable until this is resolved upstream.\"\n  },\n  \"excluded_datasets\": [\n    {\n      \"dataset\": \"binance/coinm/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"binance/spot/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bingx/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bitget/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bitget/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bybit/tickers\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bybit/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"coinbase/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"coinbase/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/option_ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/option_trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/perpetual\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"htx/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"htx/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kraken/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kraken/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/instrument\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"mexc/tickers\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"mexc/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"okx/spot/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"okx/swap/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"weather_asos/asos_metar\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_ecmwf/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_gefs/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_gfs/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_hrrr/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    }\n  ],\n  \"instrument_id_format\": \"dataset:symbol\",\n  \"observation_timed_datasets\": [\n    \"aevo/orderbook\",\n    \"apex/orderbook\",\n    \"dydx/orderbook\",\n    \"edgex/depth\",\n    \"gains/registerTrade\",\n    \"gains/unregisterTrade\",\n    \"gains/updatePositionSize\",\n    \"hyperliquid/activeAssetCtx\",\n    \"kalshi/ticker\",\n    \"lighter/market_stats\",\n    \"mexc/funding_rate\",\n    \"nado/book_depth\",\n    \"nado/trades\",\n    \"paradex/bbo\",\n    \"polymarket/book\",\n    \"polymarket_chain/redemptions\",\n    \"polymarket_chain/resolutions\",\n    \"polymarket_chain/trades\",\n    \"rho/orderbook\",\n    \"rho/ticker\"\n  ],\n  \"run_query_table_t\": {\n    \"contents\": \"1-minute OHLCV bars (raw trades are not reachable)\",\n    \"columns\": {\n      \"instrument\": \"VARCHAR\",\n      \"ts\": \"TIMESTAMPTZ (UTC), bar start\",\n      \"open\": \"DOUBLE\",\n      \"high\": \"DOUBLE\",\n      \"low\": \"DOUBLE\",\n      \"close\": \"DOUBLE\",\n      \"volume\": \"DOUBLE\",\n      \"trades\": \"BIGINT\",\n      \"vwap\": \"DOUBLE\"\n    },\n    \"min_trades_per_bar\": 3\n  },\n  \"granularities\": [\n    \"1m\",\n    \"5m\",\n    \"15m\",\n    \"1h\",\n    \"4h\",\n    \"1d\"\n  ],\n  \"funding\": {\n    \"tool\": \"get_funding\",\n    \"datasets\": {\n      \"edgex/ticker\": {\n        \"interval_hours\": 4\n      },\n      \"extended/funding\": {\n        \"interval_hours\": 1\n      },\n      \"hyperliquid/activeAssetCtx\": {\n        \"interval_hours\": 1\n      },\n      \"nado/funding_rate\": {\n        \"interval_hours\": 24\n      },\n      \"pacifica/prices\": {\n        \"interval_hours\": 1\n      }\n    },\n    \"note\": \"Rates are served with their interval and normalised to per-hour, per-8h and APR; never compare raw rates across venues.\"\n  },\n  \"limits\": {\n    \"max_bars_per_call\": 5000,\n    \"max_query_rows\": 5000,\n    \"max_shards_per_call\": 400,\n    \"shard_hours\": 2,\n    \"calls_per_minute\": 60\n  },\n  \"sql_dialect\": \"DuckDB (read-only, single SELECT/WITH statement, must read from `t`)\",\n  \"coverage_scope\": \"this host only — reflects what this machine aggregated\"\n}"}]}]},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"f55a9ec5-02cf-493c-bca5-9b9f72f804be","timestamp":"2026-09-29T20:12:19.439Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"e18eb6c0bd344262\",\n  \"datasets\": [\n    \"aevo/orderbook\",\n    \"aevo/ticker\",\n    \"apex/orderbook\",\n    \"apex/trades\",\n    \"aster/usdm/trades\",\n    \"bybit/liquidations\",\n    \"derive/auctions\",\n    \"derive/margin\",\n    \"derive/trades\",\n    \"dydx/orderbook\",\n    \"dydx/trades\",\n    \"edgex/depth\",\n    \"edgex/ticker\",\n    \"edgex/trades\",\n    \"extended/funding\",\n    \"extended/mark_price\",\n    \"extended/orderbook\",\n    \"gains/registerTrade\",\n    \"gains/unregisterTrade\",\n    \"gains/updatePositionSize\",\n    \"gmx/deposits\",\n    \"gmx/orders\",\n    \"gmx/withdrawals\",\n    \"grvt/book\",\n    \"grvt/ticker\",\n    \"grvt/trades\",\n    \"hyperliquid/activeAssetCtx\",\n    \"hyperliquid/liquidation_events\",\n    \"hyperliquid/liquidation_map\",\n    \"hyperliquid/liquidation_map_accuracy\",\n    \"hyperliquid/risk_positions\",\n    \"hyperliquid/risk_scan_log\",\n    \"hyperliquid/risk_state_census\",\n    \"hyperliquid/risk_traders\",\n    \"hyperliquid/scan_audits\",\n    \"hyperliquid/trades\",\n    \"kalshi/orderbook_delta\",\n    \"kalshi/ticker\",\n    \"kalshi/trade\",\n    \"lighter/market_stats\",\n    \"lighter/trades\",\n    \"mexc/funding_rate\",\n    \"nado/best_bid_offer\",\n    \"nado/book_depth\",\n    \"nado/funding_payment\",\n    \"nado/funding_rate\",\n    \"nado/liquidation\",\n    \"nado/trades\",\n    \"pacifica/book\",\n    \"pacifica/prices\",\n    \"pacifica/trades\",\n    \"paradex/bbo\",\n    \"paradex/trades\",\n    \"polymarket/book\",\n    \"polymarket/last_trade_price\",\n    \"polymarket_catalog/metadata\",\n    \"polymarket_chain/redemptions\",\n    \"polymarket_chain/resolutions\",\n    \"polymarket_chain/trades\",\n    \"rho/orderbook\",\n    \"rho/ticker\",\n    \"rho/trades\"\n  ],\n  \"feed_defaults\": {\n    \"kind\": \"trades\",\n    \"serves_bars\": true,\n    \"clock\": \"exchange (the venue's own timestamp)\",\n    \"direction_measured\": true,\n    \"note\": \"Everything not listed in feed_exceptions follows these. Call describe_dataset('<dataset>') for one dataset's full declaration — it takes a bare name, no symbol needed.\"\n  },\n  \"feed_exceptions\": {\n    \"state_no_bars\": [\n      \"aevo/orderbook\",\n      \"aevo/ticker\",\n      \"apex/orderbook\",\n      \"derive/auctions\",\n      \"derive/margin\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"edgex/ticker\",\n      \"extended/funding\",\n      \"extended/mark_price\",\n      \"extended/orderbook\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"gmx/deposits\",\n      \"gmx/orders\",\n      \"gmx/withdrawals\",\n      \"grvt/book\",\n      \"grvt/ticker\",\n      \"hyperliquid/activeAssetCtx\",\n      \"hyperliquid/liquidation_map\",\n      \"hyperliquid/liquidation_map_accuracy\",\n      \"hyperliquid/risk_scan_log\",\n      \"hyperliquid/risk_state_census\",\n      \"hyperliquid/risk_traders\",\n      \"hyperliquid/scan_audits\",\n      \"kalshi/orderbook_delta\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"mexc/funding_rate\",\n      \"nado/best_bid_offer\",\n      \"nado/book_depth\",\n      \"nado/funding_payment\",\n      \"nado/funding_rate\",\n      \"pacifica/book\",\n      \"pacifica/prices\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_catalog/metadata\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"observation_clock\": [\n      \"aevo/orderbook\",\n      \"apex/orderbook\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"hyperliquid/activeAssetCtx\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"mexc/funding_rate\",\n      \"nado/book_depth\",\n      \"nado/trades\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"direction_unmeasured\": [\n      \"aevo/orderbook\",\n      \"aevo/ticker\",\n      \"apex/orderbook\",\n      \"bybit/liquidations\",\n      \"derive/auctions\",\n      \"derive/margin\",\n      \"dydx/orderbook\",\n      \"edgex/depth\",\n      \"edgex/ticker\",\n      \"edgex/trades\",\n      \"extended/funding\",\n      \"extended/mark_price\",\n      \"extended/orderbook\",\n      \"gains/registerTrade\",\n      \"gains/unregisterTrade\",\n      \"gains/updatePositionSize\",\n      \"gmx/deposits\",\n      \"gmx/orders\",\n      \"gmx/withdrawals\",\n      \"grvt/book\",\n      \"grvt/ticker\",\n      \"grvt/trades\",\n      \"hyperliquid/activeAssetCtx\",\n      \"hyperliquid/liquidation_map\",\n      \"hyperliquid/liquidation_map_accuracy\",\n      \"hyperliquid/risk_positions\",\n      \"hyperliquid/risk_scan_log\",\n      \"hyperliquid/risk_state_census\",\n      \"hyperliquid/risk_traders\",\n      \"hyperliquid/scan_audits\",\n      \"kalshi/orderbook_delta\",\n      \"kalshi/ticker\",\n      \"lighter/market_stats\",\n      \"lighter/trades\",\n      \"mexc/funding_rate\",\n      \"nado/best_bid_offer\",\n      \"nado/book_depth\",\n      \"nado/funding_payment\",\n      \"nado/funding_rate\",\n      \"nado/liquidation\",\n      \"pacifica/book\",\n      \"pacifica/prices\",\n      \"pacifica/trades\",\n      \"paradex/bbo\",\n      \"polymarket/book\",\n      \"polymarket_catalog/metadata\",\n      \"polymarket_chain/redemptions\",\n      \"polymarket_chain/resolutions\",\n      \"polymarket_chain/trades\",\n      \"rho/orderbook\",\n      \"rho/ticker\"\n    ],\n    \"what_these_mean\": \"state_no_bars: snapshots, not events — no price/size column, get_ohlcv and get_activity_bars refuse them, use run_query. observation_clock: served on our recorded_at because the venue timestamp is a state epoch that does not advance while the state is unchanged. direction_unmeasured: canonical `side` reads 'unknown'; do NOT infer direction from the raw column — coinbase reports the MAKER's side, so the obvious reading is backwards there.\"\n  },\n  \"access_mode\": \"public\",\n  \"catalog_ready\": true,\n  \"data_quality\": {\n    \"catalog_built\": true,\n    \"mean_shard_coverage\": 0.442,\n    \"dataset_days_measured\": 9405,\n    \"dataset_days_below_threshold\": 7603,\n    \"unreadable_days\": 0,\n    \"warning\": \"PARTIAL DATA: shards in this range hold only ~44% of their 2-hour windows on average (known upstream issue: shards built from only their first ~31 minutes of data). Bars at 1h and coarser are computed from a fraction of the trades, so their high, low, volume and close are not representative. Gaps are real missing data, not quiet markets.\",\n    \"what_this_means\": \"Shards exist for every window, but each holds only part of it, and the missing part is systematically the later portion of each 2-hour window — not a random sample. Bars at 1h and coarser are computed from a fraction of the trades. Treat volume, VWAP and any time-of-day analysis as unreliable until this is resolved upstream.\"\n  },\n  \"excluded_datasets\": [\n    {\n      \"dataset\": \"binance/coinm/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"binance/spot/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bingx/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bitget/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bitget/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bybit/tickers\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"bybit/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"coinbase/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"coinbase/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/option_ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/option_trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/perpetual\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"deribit/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"htx/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"htx/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kraken/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kraken/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/instrument\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/ticker\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"kucoin/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"mexc/tickers\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"mexc/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"okx/spot/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"okx/swap/trades\",\n      \"category\": \"cex\",\n      \"reason\": \"cex venue: raw trade data is not served publicly. Only derived types (liquidations, funding_rate, funding, open_interest) are, and the licensing review for computed series over CEX data is still open.\"\n    },\n    {\n      \"dataset\": \"weather_asos/asos_metar\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_ecmwf/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_gefs/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_gfs/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    },\n    {\n      \"dataset\": \"weather_hrrr/forecast\",\n      \"category\": \"other\",\n      \"reason\": \"other venue: not cleared for public access.\"\n    }\n  ],\n  \"instrument_id_format\": \"dataset:symbol\",\n  \"observation_timed_datasets\": [\n    \"aevo/orderbook\",\n    \"apex/orderbook\",\n    \"dydx/orderbook\",\n    \"edgex/depth\",\n    \"gains/registerTrade\",\n    \"gains/unregisterTrade\",\n    \"gains/updatePositionSize\",\n    \"hyperliquid/activeAssetCtx\",\n    \"kalshi/ticker\",\n    \"lighter/market_stats\",\n    \"mexc/funding_rate\",\n    \"nado/book_depth\",\n    \"nado/trades\",\n    \"paradex/bbo\",\n    \"polymarket/book\",\n    \"polymarket_chain/redemptions\",\n    \"polymarket_chain/resolutions\",\n    \"polymarket_chain/trades\",\n    \"rho/orderbook\",\n    \"rho/ticker\"\n  ],\n  \"run_query_table_t\": {\n    \"contents\": \"1-minute OHLCV bars (raw trades are not reachable)\",\n    \"columns\": {\n      \"instrument\": \"VARCHAR\",\n      \"ts\": \"TIMESTAMPTZ (UTC), bar start\",\n      \"open\": \"DOUBLE\",\n      \"high\": \"DOUBLE\",\n      \"low\": \"DOUBLE\",\n      \"close\": \"DOUBLE\",\n      \"volume\": \"DOUBLE\",\n      \"trades\": \"BIGINT\",\n      \"vwap\": \"DOUBLE\"\n    },\n    \"min_trades_per_bar\": 3\n  },\n  \"granularities\": [\n    \"1m\",\n    \"5m\",\n    \"15m\",\n    \"1h\",\n    \"4h\",\n    \"1d\"\n  ],\n  \"funding\": {\n    \"tool\": \"get_funding\",\n    \"datasets\": {\n      \"edgex/ticker\": {\n        \"interval_hours\": 4\n      },\n      \"extended/funding\": {\n        \"interval_hours\": 1\n      },\n      \"hyperliquid/activeAssetCtx\": {\n        \"interval_hours\": 1\n      },\n      \"nado/funding_rate\": {\n        \"interval_hours\": 24\n      },\n      \"pacifica/prices\": {\n        \"interval_hours\": 1\n      }\n    },\n    \"note\": \"Rates are served with their interval and normalised to per-hour, per-8h and APR; never compare raw rates across venues.\"\n  },\n  \"limits\": {\n    \"max_bars_per_call\": 5000,\n    \"max_query_rows\": 5000,\n    \"max_shards_per_call\": 400,\n    \"shard_hours\": 2,\n    \"calls_per_minute\": 60\n  },\n  \"sql_dialect\": \"DuckDB (read-only, single SELECT/WITH statement, must read from `t`)\",\n  \"coverage_scope\": \"this host only — reflects what this machine aggregated\"\n}"}]}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MXYE2etUc1P1QyoLFrJqtN","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"c984fbbb842747f1\",\n  \"instruments\": [\n    {\n      \"instrument\": \"nado/best_bid_offer:4\",\n      \"dataset\": \"nado/best_bid_offer\",\n      \"symbol\": \"4\",\n      \"first_day\": \"2026-07-01\",\n      \"last_day\": \"2026-09-29\",\n      \"days\": 82,\n      \"rows\": 99989823,\n      \"granularity\": \"snapshot (state)\",\n      \"timestamp_semantics\": \"exchange\"\n    },\n    {\n      \"instrument\": \"nado/best_bid_offer:2\",\n      \"dataset\": \"nado/best_bid_offer\",\n      \"symbol\": \"2\",\n      \"first_day\": \"2026-07-01\",\n      \"last_day\": \"2026-09-29\",\n      \"days\": 82,\n      \"rows\": 99871978,\n      \"granularity\": \"snapshot (state)\",\n      \"timestamp_semantics\": \"exchange\"\n    },\n    {\n      \"instrument\": \"nado/best_bid_offer:8\",\n      \"dataset\": 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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fi8sDGHosz4T8mT6idouY8","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"510b66d11def4f86\",\n  \"instrument\": \"nado/trades:2\",\n  \"dataset\": \"nado/trades\",\n  \"kind\": \"trades\",\n  \"columns\": {\n    \"instrument\": \"product_id\",\n    \"timestamp\": \"recorded_at\",\n    \"price\": \"price\",\n    \"size\": \"taker_qty\",\n    \"side\": null\n  },\n  \"canonical_columns\": [\n    \"instrument\",\n    \"ts\",\n    \"price\",\n    \"size\",\n    \"side\"\n  ],\n  \"side_encoding\": {\n    \"canonical\": \"buy | sell | unknown — the AGGRESSOR's direction\",\n    \"venue_value_kept_as\": \"side_raw\",\n    \"measured\": true,\n    \"note\": \"Mapped from this venue's own encoding, measured with the tick rule rather than read off the word: coinbase reports the MAKER's side, so its 'BUY' rows are taker sells.\"\n  },\n  \"timestamp_semantics\": \"observation\",\n  \"timestamp_note\": \"Bars are timed by when we OBSERVED the trade (recorded_at), not by the venue's own event time, because this venue's event-time field is unusable upstream. Do not compare these timings against exchange-timed venues at sub-second resolution.\",\n  \"first_ts\": \"2025-12-31T23:44:09.920000+00:00\",\n  \"last_ts\": \"2026-09-29T15:58:56.090000+00:00\",\n  \"days_covered\": 260,\n  \"total_rows\": 3799648,\n  \"avg_rows_per_day\": 14614,\n  \"native_granularity\": \"tick (individual trades)\",\n  \"derived_granularities\": [\n    \"1m\",\n    \"5m\",\n    \"15m\",\n    \"1h\",\n    \"4h\",\n    \"1d\"\n  ],\n  \"days_with_missing_shards\": [\n    {\n      \"day\": \"2025-12-31\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-04-03\",\n      \"shards_present\": 7,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-04-06\",\n      \"shards_present\": 5,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-27\",\n      \"shards_present\": 9,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-28\",\n      \"shards_present\": 9,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-31\",\n      \"shards_present\": 11,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-05\",\n      \"shards_present\": 6,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-10\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-13\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-14\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-15\",\n      \"shards_present\": 4,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-16\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-17\",\n      \"shards_present\": 3,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-18\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-20\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-21\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-24\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-27\",\n      \"shards_present\": 7,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-09-17\",\n      \"shards_present\": 3,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-09-29\",\n      \"shards_present\": 8,\n      \"shards_expected\": 12\n    }\n  ],\n  \"days_with_no_data_for_instrument\": [\n    \"2026-08-10\",\n    \"2026-08-16\"\n  ],\n  \"mean_shard_coverage\": 0.382,\n  \"low_coverage_days\": [\n    {\n      \"day\": \"2026-01-01\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-02\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-03\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-04\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2026-01-05\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-06\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-07\",\n      \"shard_coverage\": 0.261\n    },\n    {\n      \"day\": \"2026-01-08\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-09\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-10\",\n      \"shard_coverage\": 0.262\n    },\n    {\n      \"day\": \"2026-01-11\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-12\",\n      \"shard_coverage\": 0.314\n    },\n    {\n      \"day\": \"2026-01-13\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-14\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-15\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-16\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-17\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-18\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-01-19\",\n      \"shard_coverage\": 0.318\n    },\n    {\n      \"day\": \"2026-01-20\",\n      \"shard_coverage\": 0.314\n    },\n    {\n      \"day\": \"2026-01-21\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-22\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-23\",\n      \"shard_coverage\": 0.316\n    },\n    {\n      \"day\": \"2026-01-24\",\n      \"shard_coverage\": 0.3\n    },\n    {\n      \"day\": \"2026-01-25\",\n      \"shard_coverage\": 0.252\n    },\n    {\n      \"day\": \"2026-01-26\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-27\",\n      \"shard_coverage\": 0.5\n    },\n    {\n      \"day\": \"2026-01-28\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-01-29\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-01-30\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-02-01\",\n      \"shard_coverage\": 0.311\n    },\n    {\n      \"day\": \"2026-02-02\",\n      \"shard_coverage\": 0.313\n    },\n    {\n      \"day\": \"2026-02-03\",\n      \"shard_coverage\": 0.251\n    },\n    {\n      \"day\": \"2026-02-04\",\n      \"shard_coverage\": 0.223\n    },\n    {\n      \"day\": \"2026-02-05\",\n      \"shard_coverage\": 0.228\n    },\n    {\n      \"day\": \"2026-02-06\",\n      \"shard_coverage\": 0.229\n    },\n    {\n      \"day\": \"2026-02-07\",\n      \"shard_coverage\": 0.235\n    },\n    {\n      \"day\": \"2026-02-08\",\n      \"shard_coverage\": 0.244\n    },\n    {\n      \"day\": \"2026-02-09\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-02-10\",\n      \"shard_coverage\": 0.249\n    },\n    {\n      \"day\": \"2026-02-11\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-02-12\",\n      \"shard_coverage\": 0.374\n    },\n    {\n      \"day\": \"2026-02-13\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-02-14\",\n      \"shard_coverage\": 0.38\n    },\n    {\n      \"day\": \"2026-02-15\",\n      \"shard_coverage\": 0.318\n    },\n    {\n      \"day\": \"2026-02-16\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-17\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-18\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-19\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-20\",\n      \"shard_coverage\": 0.26\n    }\n  ],\n  \"coverage_warning\": \"PARTIAL DATA: shards in this range span ~38% of their 2-hour windows, against ~99% for healthy shards of this feed, i.e. 39% of normal. Bars at 1h and coarser are computed from a fraction of the trades. Gaps are real missing data, not quiet markets.\",\n  \"known_data_labels\": {\n    \"count\": 37,\n    \"kinds\": {\n      \"absent\": 6,\n      \"partial_window\": 31\n    },\n    \"permanent\": 37,\n    \"lowest_coverage_fraction\": 0.26,\n    \"lowest_coverage_fraction_lower_bound\": null,\n    \"coverage_note\": \"lowest_coverage_fraction is the worst SINGLE SHARD in this window, not the fraction of the window that is present, and it is not a measure of how much data there is. A day whose shards are labelled 0.26 can hold more trade-minutes than an unlabelled day if the market was quieter. Compare density directly before rejecting a window on this number.\",\n    \"labelled_days\": {\n      \"from\": \"2026-08-08\",\n      \"to\": \"2026-09-17\",\n      \"count\": 9\n    },\n    \"labels_omitted\": \"37 per-day record(s) not inlined; query a window with run_query to get the ones that apply to it, or read the files named in label_source\"\n  },\n  \"label_source\": {\n    \"roots_checked\": 3,\n    \"label_files_found\": 1,\n    \"files\": [\n      \"/mnt/nasrecorders/_labels/nado/trades/labels.jsonl\"\n    ],\n    \"kinds_exhaustive\": [],\n    \"kinds_not_emitted\": [\n      \"census_incomplete\",\n      \"permission\",\n      \"type_widened\"\n    ],\n    \"coverage_declared_by\": \"mission-2/nm-recovery\",\n    \"scope_notes_omitted\": \"Scope notes for biased_subset, census_incomplete, not_archived, permission, precision, type_widened, unreadable are not included because no label of those kinds is in force for this window. They are in _labels/_coverage.json, and data_quality returns them in full.\",\n    \"absence_note\": \"NO label kind is claimed exhaustive here, so absence of a label never means the thing did not happen — only that nobody recorded it. See scope_notes for where absence can be relied on.\",\n    \"warning\": null,\n    \"scope_notes_available_for\": [\n      \"absent\",\n      \"partial_window\"\n    ],\n    \"scope_notes_omitted_here\": \"2 per-kind scope note(s) omitted to keep this response small; run_query returns them in full for the kinds your window matches. They say how far each kind's claim extends -- no kind is exhaustive, so absence of a label never means a defect did not happen.\"\n  },\n  \"coverage_method\": \"fraction of each 2h shard's window its data actually spans; shard presence alone does not detect a partially written shard\"\n}"}]}]},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"7925761f-5138-4542-89d0-3da557ab982d","timestamp":"2026-09-29T20:12:21.661Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"510b66d11def4f86\",\n  \"instrument\": \"nado/trades:2\",\n  \"dataset\": \"nado/trades\",\n  \"kind\": \"trades\",\n  \"columns\": {\n    \"instrument\": \"product_id\",\n    \"timestamp\": \"recorded_at\",\n    \"price\": \"price\",\n    \"size\": \"taker_qty\",\n    \"side\": null\n  },\n  \"canonical_columns\": [\n    \"instrument\",\n    \"ts\",\n    \"price\",\n    \"size\",\n    \"side\"\n  ],\n  \"side_encoding\": {\n    \"canonical\": \"buy | sell | unknown — the AGGRESSOR's direction\",\n    \"venue_value_kept_as\": \"side_raw\",\n    \"measured\": true,\n    \"note\": \"Mapped from this venue's own encoding, measured with the tick rule rather than read off the word: coinbase reports the MAKER's side, so its 'BUY' rows are taker sells.\"\n  },\n  \"timestamp_semantics\": \"observation\",\n  \"timestamp_note\": \"Bars are timed by when we OBSERVED the trade (recorded_at), not by the venue's own event time, because this venue's event-time field is unusable upstream. Do not compare these timings against exchange-timed venues at sub-second resolution.\",\n  \"first_ts\": \"2025-12-31T23:44:09.920000+00:00\",\n  \"last_ts\": \"2026-09-29T15:58:56.090000+00:00\",\n  \"days_covered\": 260,\n  \"total_rows\": 3799648,\n  \"avg_rows_per_day\": 14614,\n  \"native_granularity\": \"tick (individual trades)\",\n  \"derived_granularities\": [\n    \"1m\",\n    \"5m\",\n    \"15m\",\n    \"1h\",\n    \"4h\",\n    \"1d\"\n  ],\n  \"days_with_missing_shards\": [\n    {\n      \"day\": \"2025-12-31\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-04-03\",\n      \"shards_present\": 7,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-04-06\",\n      \"shards_present\": 5,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-27\",\n      \"shards_present\": 9,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-28\",\n      \"shards_present\": 9,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-07-31\",\n      \"shards_present\": 11,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-05\",\n      \"shards_present\": 6,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-10\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-13\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-14\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-15\",\n      \"shards_present\": 4,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-16\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-17\",\n      \"shards_present\": 3,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-18\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-20\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-21\",\n      \"shards_present\": 2,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-24\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-08-27\",\n      \"shards_present\": 7,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-09-17\",\n      \"shards_present\": 3,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2026-09-29\",\n      \"shards_present\": 8,\n      \"shards_expected\": 12\n    }\n  ],\n  \"days_with_no_data_for_instrument\": [\n    \"2026-08-10\",\n    \"2026-08-16\"\n  ],\n  \"mean_shard_coverage\": 0.382,\n  \"low_coverage_days\": [\n    {\n      \"day\": \"2026-01-01\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-02\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-03\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-04\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2026-01-05\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-06\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-07\",\n      \"shard_coverage\": 0.261\n    },\n    {\n      \"day\": \"2026-01-08\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-09\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-10\",\n      \"shard_coverage\": 0.262\n    },\n    {\n      \"day\": \"2026-01-11\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-12\",\n      \"shard_coverage\": 0.314\n    },\n    {\n      \"day\": \"2026-01-13\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-14\",\n      \"shard_coverage\": 0.26\n    },\n    {\n      \"day\": \"2026-01-15\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-16\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-17\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-18\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-01-19\",\n      \"shard_coverage\": 0.318\n    },\n    {\n      \"day\": \"2026-01-20\",\n      \"shard_coverage\": 0.314\n    },\n    {\n      \"day\": \"2026-01-21\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-22\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-23\",\n      \"shard_coverage\": 0.316\n    },\n    {\n      \"day\": \"2026-01-24\",\n      \"shard_coverage\": 0.3\n    },\n    {\n      \"day\": \"2026-01-25\",\n      \"shard_coverage\": 0.252\n    },\n    {\n      \"day\": \"2026-01-26\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-27\",\n      \"shard_coverage\": 0.5\n    },\n    {\n      \"day\": \"2026-01-28\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-01-29\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-01-30\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-02-01\",\n      \"shard_coverage\": 0.311\n    },\n    {\n      \"day\": \"2026-02-02\",\n      \"shard_coverage\": 0.313\n    },\n    {\n      \"day\": \"2026-02-03\",\n      \"shard_coverage\": 0.251\n    },\n    {\n      \"day\": \"2026-02-04\",\n      \"shard_coverage\": 0.223\n    },\n    {\n      \"day\": \"2026-02-05\",\n      \"shard_coverage\": 0.228\n    },\n    {\n      \"day\": \"2026-02-06\",\n      \"shard_coverage\": 0.229\n    },\n    {\n      \"day\": \"2026-02-07\",\n      \"shard_coverage\": 0.235\n    },\n    {\n      \"day\": \"2026-02-08\",\n      \"shard_coverage\": 0.244\n    },\n    {\n      \"day\": \"2026-02-09\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-02-10\",\n      \"shard_coverage\": 0.249\n    },\n    {\n      \"day\": \"2026-02-11\",\n      \"shard_coverage\": 0.253\n    },\n    {\n      \"day\": \"2026-02-12\",\n      \"shard_coverage\": 0.374\n    },\n    {\n      \"day\": \"2026-02-13\",\n      \"shard_coverage\": 0.254\n    },\n    {\n      \"day\": \"2026-02-14\",\n      \"shard_coverage\": 0.38\n    },\n    {\n      \"day\": \"2026-02-15\",\n      \"shard_coverage\": 0.318\n    },\n    {\n      \"day\": \"2026-02-16\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-17\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-18\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-19\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-02-20\",\n      \"shard_coverage\": 0.26\n    }\n  ],\n  \"coverage_warning\": \"PARTIAL DATA: shards in this range span ~38% of their 2-hour windows, against ~99% for healthy shards of this feed, i.e. 39% of normal. Bars at 1h and coarser are computed from a fraction of the trades. Gaps are real missing data, not quiet markets.\",\n  \"known_data_labels\": {\n    \"count\": 37,\n    \"kinds\": {\n      \"absent\": 6,\n      \"partial_window\": 31\n    },\n    \"permanent\": 37,\n    \"lowest_coverage_fraction\": 0.26,\n    \"lowest_coverage_fraction_lower_bound\": null,\n    \"coverage_note\": \"lowest_coverage_fraction is the worst SINGLE SHARD in this window, not the fraction of the window that is present, and it is not a measure of how much data there is. A day whose shards are labelled 0.26 can hold more trade-minutes than an unlabelled day if the market was quieter. Compare density directly before rejecting a window on this number.\",\n    \"labelled_days\": {\n      \"from\": \"2026-08-08\",\n      \"to\": \"2026-09-17\",\n      \"count\": 9\n    },\n    \"labels_omitted\": \"37 per-day record(s) not inlined; query a window with run_query to get the ones that apply to it, or read the files named in label_source\"\n  },\n  \"label_source\": {\n    \"roots_checked\": 3,\n    \"label_files_found\": 1,\n    \"files\": [\n      \"/mnt/nasrecorders/_labels/nado/trades/labels.jsonl\"\n    ],\n    \"kinds_exhaustive\": [],\n    \"kinds_not_emitted\": [\n      \"census_incomplete\",\n      \"permission\",\n      \"type_widened\"\n    ],\n    \"coverage_declared_by\": \"mission-2/nm-recovery\",\n    \"scope_notes_omitted\": \"Scope notes for biased_subset, census_incomplete, not_archived, permission, precision, type_widened, unreadable are not included because no label of those kinds is in force for this window. They are in _labels/_coverage.json, and data_quality returns them in full.\",\n    \"absence_note\": \"NO label kind is claimed exhaustive here, so absence of a label never means the thing did not happen — only that nobody recorded it. See scope_notes for where absence can be relied on.\",\n    \"warning\": null,\n    \"scope_notes_available_for\": [\n      \"absent\",\n      \"partial_window\"\n    ],\n    \"scope_notes_omitted_here\": \"2 per-kind scope note(s) omitted to keep this response small; run_query returns them in full for the kinds your window matches. They say how far each kind's claim extends -- no kind is exhaustive, so absence of a label never means a defect did not happen.\"\n  },\n  \"coverage_method\": \"fraction of each 2h shard's window its data actually spans; shard presence alone does not detect a partially written shard\"\n}"}]}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CXrzFwaVcwXUxp9qFTWG9E","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"c5ae7ccd8ff44bb2\",\n  \"findings\": [\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 214,\n      \"worst_value\": 0.0916,\n      \"healthy_value\": 0.9914561689814815,\n      \"first_day\": \"2026-01-01\",\n      \"last_day\": \"2026-09-16\",\n      \"message\": \"holds ~9% of its window, 9% of normal (this feed's healthy shards span ~99% of a window); bars at 1h and coarser are computed from a fraction of the data\",\n      \"detail\": {\n        \"rows\": 50,\n        \"files\": 1,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 9,\n      \"worst_value\": 0.1667,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-04-06\",\n      \"last_day\": \"2026-09-17\",\n      \"message\": \"2 of 12 2h shards exist for this day on this host\",\n      \"detail\": {\n        \"shards_present\": 2,\n        \"shards_expected\": 12,\n        \"rows\": 120\n      }\n    },\n    {\n      \"check\": \"volume_anomaly\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 6,\n      \"worst_value\": 0.0004,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-01-17\",\n      \"last_day\": \"2026-08-16\",\n      \"message\": \"0% of the 56,966 row median for the preceding days\",\n      \"detail\": {\n        \"rows\": 25,\n        \"baseline_median\": 56966\n      }\n    },\n    {\n      \"check\": \"day_continuity\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 1,\n      \"worst_value\": 11.0,\n      \"healthy_value\": 0.0,\n      \"first_day\": null,\n      \"last_day\": null,\n      \"message\": \"11 day(s) missing, longest run 2 day(s)\",\n      \"detail\": {\n        \"first_day\": \"2025-12-31\",\n        \"last_day\": \"2026-09-29\",\n        \"days_present\": 262,\n        \"longest_gap_days\": 2,\n        \"gaps\": [\n          [\n            \"2026-04-04\",\n            \"2026-04-05\"\n          ],\n          [\n            \"2026-08-08\",\n            \"2026-08-09\"\n          ],\n          [\n            \"2026-08-11\",\n            \"2026-08-12\"\n          ],\n          [\n            \"2026-08-19\",\n            \"2026-08-19\"\n          ],\n          [\n            \"2026-08-22\",\n            \"2026-08-23\"\n          ]\n        ]\n      }\n    },\n    {\n      \"check\": \"instrument_scope\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 1,\n      \"worst_value\": 0.0958,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-08-10\",\n      \"last_day\": \"2026-08-10\",\n      \"message\": \"7 instruments recorded against a usual 73 — coverage narrowed, likely a subscription change rather than a quiet market\",\n      \"detail\": {\n        \"instruments\": 7,\n        \"reference_p90\": 73,\n        \"history_days\": 90\n      }\n    },\n    {\n      \"check\": \"catalog_staleness\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 1,\n      \"worst_value\": 1.0,\n      \"healthy_value\": 0.0,\n      \"first_day\": null,\n      \"last_day\": null,\n      \"message\": \"1 of 9 indexed days have files that changed after they were measured (newest 2026-09-21); everything reported about them describes the previous version of those files. Re-index to re-measure.\",\n      \"detail\": {\n        \"days_measured\": 9,\n        \"stale_days\": 1,\n        \"recent_days_being_written\": 0,\n        \"newest_stale_day\": \"2026-09-21\",\n        \"note\": \"files changed after this day was indexed; re-index to re-measure\",\n        \"days_examined_this_run\": 800,\n        \"catalog_days_total\": 10429,\n        \"coverage_note\": \"NEWEST 800 of 10,429 indexed dataset-days were examined; older days were not looked at, so a count of zero here is a lower bound rather than an all-clear\"\n      }\n    },\n    {\n      \"check\": \"volume_anomaly\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 20,\n      \"worst_value\": 1000.3091,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-01-01\",\n      \"last_day\": \"2026-09-26\",\n      \"message\": \"1000.3x the recent median — possible duplication\",\n      \"detail\": {\n        \"rows\": 55017,\n        \"baseline_median\": 55\n      }\n    },\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 16,\n      \"worst_value\": 0.4998,\n      \"healthy_value\": 0.9914561689814815,\n      \"first_day\": \"2026-01-27\",\n      \"last_day\": \"2026-08-27\",\n      \"message\": \"holds ~50% of its window, 50% of normal (this feed's healthy shards span ~99% of a window); bars at 1h and coarser are computed from a fraction of the data\",\n      \"detail\": {\n        \"rows\": 97190,\n        \"files\": 24,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 6,\n      \"worst_value\": 0.5,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-04-03\",\n      \"last_day\": \"2026-08-27\",\n      \"message\": \"6 of 12 2h shards exist for this day on this host\",\n      \"detail\": {\n        \"shards_present\": 6,\n        \"shards_expected\": 12,\n        \"rows\": 35246\n      }\n    },\n    {\n      \"check\": \"instrument_scope\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 4,\n      \"worst_value\": 0.1642,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2026-08-06\",\n      \"last_day\": \"2026-08-24\",\n      \"message\": \"12 instruments recorded against a usual 73 — coverage narrowed, likely a subscription change rather than a quiet market\",\n      \"detail\": {\n        \"instruments\": 12,\n        \"reference_p90\": 73,\n        \"history_days\": 90\n      }\n    }\n  ],\n  \"counts_by_severity\": {\n    \"critical\": 6,\n    \"warn\": 4\n  },\n  \"checks_run\": [\n    \"catalog_staleness\",\n    \"day_continuity\",\n    \"instrument_scope\",\n    \"shard_completeness\",\n    \"staleness\",\n    \"timestamp_plausibility\",\n    \"volume_anomaly\",\n    \"window_coverage\"\n  ],\n  \"checks_not_run\": null,\n  \"scope_note\": \"Every check ran.\",\n  \"note\": \"Magnitudes are measured, not asserted: each finding reports the value and the value it would take if healthy.\"\n}"}]}]},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"dd43402b-81dd-4bb5-a143-31ae501a116c","timestamp":"2026-09-29T20:12:23.629Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"c5ae7ccd8ff44bb2\",\n  \"findings\": [\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"nado/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 214,\n      \"worst_value\": 0.0916,\n      \"healthy_value\": 0.9914561689814815,\n      \"first_day\": \"2026-01-01\",\n      \"last_day\": \"2026-09-16\",\n      \"message\": \"holds ~9% of its window, 9% of normal (this feed's healthy shards span ~99% of a window); 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84778.0,\n      \"volume\": 17.734050000000003,\n      \"trades\": 832,\n      \"vwap\": 84661.87381337033,\n      \"first_trade_ts\": \"2026-09-27T18:00:00.976000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T18:59:51.646000+00:00\"\n    },\n    {\n      \"t\": \"2026-09-27T19:00:00.000000+00:00\",\n      \"open\": 84784.0,\n      \"high\": 84804.00000000001,\n      \"low\": 84617.00000000001,\n      \"close\": 84690.0,\n      \"volume\": 20.14869999999999,\n      \"trades\": 784,\n      \"vwap\": 84719.54058822658,\n      \"first_trade_ts\": \"2026-09-27T19:00:07.597000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T19:59:59.474000+00:00\"\n    },\n    {\n      \"t\": \"2026-09-27T20:00:00.000000+00:00\",\n      \"open\": 84691.0,\n      \"high\": 84770.0,\n      \"low\": 84503.0,\n      \"close\": 84503.0,\n      \"volume\": 21.181199999999993,\n      \"trades\": 815,\n      \"vwap\": 84621.45137669257,\n      \"first_trade_ts\": \"2026-09-27T20:00:06.533000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T20:59:51.355000+00:00\"\n    },\n    {\n      \"t\": \"2026-09-27T21:00:00.000000+00:00\",\n      \"open\": 84504.0,\n      \"high\": 84677.0,\n      \"low\": 84410.0,\n      \"close\": 84635.00000000001,\n      \"volume\": 20.934699999999996,\n      \"trades\": 853,\n      \"vwap\": 84566.99301399116,\n      \"first_trade_ts\": \"2026-09-27T21:00:46.687000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T21:59:59.429000+00:00\"\n    },\n    {\n      \"t\": \"2026-09-27T22:00:00.000000+00:00\",\n      \"open\": 84642.0,\n      \"high\": 84712.0,\n      \"low\": 84091.99999999999,\n      \"close\": 84143.0,\n      \"volume\": 44.613950000000074,\n      \"trades\": 1684,\n      \"vwap\": 84313.09838066336,\n      \"first_trade_ts\": \"2026-09-27T22:00:00.953000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T22:59:57.151000+00:00\"\n    },\n    {\n      \"t\": \"2026-09-27T23:00:00.000000+00:00\",\n      \"open\": 84147.0,\n      \"high\": 84490.0,\n      \"low\": 84081.0,\n      \"close\": 84416.0,\n      \"volume\": 35.96500000000008,\n      \"trades\": 1460,\n      \"vwap\": 84300.93537605988,\n      \"first_trade_ts\": \"2026-09-27T23:00:03.147000+00:00\",\n      \"last_trade_ts\": \"2026-09-27T23:59:52.496000+00:00\"\n    }\n  ],\n  \"bar_count\": 24,\n  \"trades_aggregated\": 23319,\n  \"shards_read\": 13,\n  \"min_trades_per_bar\": 3,\n  \"same_ms_order\": \"unordered: this venue's trade id is not a sequence, so when several fills share the last millisecond of a bar the close is one of them, not necessarily the last\",\n  \"shard_coverage\": 0.991,\n  \"coverage_warning\": null,\n  \"healthy_shard_coverage\": 0.991,\n  \"shard_presence\": {\n    \"shards_present\": 12,\n    \"shards_expected\": 12,\n    \"days_indexed\": 1,\n    \"days_requested\": 1,\n    \"empty_shard_files\": 0,\n    \"days_unindexed\": 0,\n    \"days_measured\": 1,\n    \"days_blind\": 0,\n    \"catalog_covers\": {\n      \"from\": \"2025-12-31\",\n      \"to\": \"2026-09-29\"\n    },\n    \"dataset_indexed\": true,\n    \"measured\": true,\n    \"fraction\": 1.0\n  },\n  \"presence_warning\": null,\n  \"known_data_labels\": null,\n  \"label_source\": {\n    \"roots_checked\": 3,\n    \"label_files_found\": 1,\n    \"files\": [\n      \"/mnt/nasrecorders/_labels/nado/trades/labels.jsonl\"\n    ],\n    \"kinds_exhaustive\": [],\n    \"kinds_not_emitted\": [\n      \"census_incomplete\",\n      \"permission\",\n      \"type_widened\"\n    ],\n    \"coverage_declared_by\": \"mission-2/nm-recovery\",\n    \"scope_notes\": {},\n    \"scope_notes_omitted\": \"Scope notes for absent, biased_subset, census_incomplete, not_archived, partial_window, permission, precision, type_widened, unreadable are not included because no label of those kinds is in force for this window. They are in _labels/_coverage.json, and data_quality returns them in full.\",\n    \"absence_note\": \"NO label kind is claimed exhaustive here, so absence of a label never means the thing did not happen — only that nobody recorded it. See scope_notes for where absence can be relied on.\",\n    \"warning\": null\n  },\n  \"withheld_bars\": 0,\n  \"note\": null\n}"}]}
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They are in _labels/_coverage.json, and data_quality returns them in full.\",\n    \"absence_note\": \"NO label kind is claimed exhaustive here, so absence of a label never means the thing did not happen — only that nobody recorded it. See scope_notes for where absence can be relied on.\",\n    \"warning\": null\n  },\n  \"completeness_unavailable\": null,\n  \"slices\": null,\n  \"columns\": [\n    \"d\",\n    \"nbars\",\n    \"ntr\",\n    \"vol\",\n    \"notional\"\n  ],\n  \"rows\": [\n    [\n      \"2026-09-24T00:00:00Z\",\n      1406,\n      40498,\n      1490.0732000000014,\n      125195091.48284999\n    ],\n    [\n      \"2026-09-25T00:00:00Z\",\n      1356,\n      36263,\n      1159.0237500000012,\n      97515504.81460005\n    ],\n    [\n      \"2026-09-26T00:00:00Z\",\n      1045,\n      15911,\n      591.1431999999998,\n      49679574.020850025\n    ],\n    [\n      \"2026-09-27T00:00:00Z\",\n      1225,\n      23132,\n      643.8543499999994,\n      54443970.82624997\n    ],\n    [\n      \"2026-09-28T00:00:00Z\",\n      1405,\n      49163,\n      1534.0814500000006,\n      127881285.68009998\n    ]\n  ],\n  \"row_count\": 5,\n  \"truncated\": false,\n  \"shards_bound\": 61,\n  \"rows_estimated\": 194640,\n  \"zero_rows_note\": null,\n  \"table_t\": \"1-minute bars\",\n  \"table_t_note\": \"Bars built from fewer than 3 trades are ABSENT from t, not zero-valued. See withheld_by_floor for HOW MUCH this window lost - a gap in t is a withheld bar or a minute with no trades, and the counts there are the only way to tell.\",\n  \"withheld_by_floor\": {\n    \"bars\": 451,\n    \"trades\": 669,\n    \"volume\": 12.253249999999996,\n    \"min_trades\": 3,\n    \"note\": \"451 minute bar(s) holding 669 trade(s) were withheld because each was built from fewer than 3 trades. Those trades are NOT in any sum, count or volume you compute from t. Add them back from these totals before quoting a notional, or state the shortfall.\"\n  },\n  \"extremum_warning\": \"YOUR EXTREMUM MAY BE WRONG IN ITS ARGUMENT, NOT JUST ITS VALUE. This query selects a maximum, minimum or ordering, and 451 bar(s) were withheld from `t` because each held fewer than 3 trades. A true extreme minute is often a THIN one, so the row you want is disproportionately likely to be among those withheld: a measured case had the largest dislocation in a 2-trade minute, and the reported answer named the wrong minute with a plausible value. withheld_by_floor totals CANNOT repair this the way they repair a sum. Either state that the extremum is over bars of at least 3 trades only, or obtain the data in a mode without the floor.\",\n  \"timestamp_semantics\": \"observation\",\n  \"timestamp_note\": \"ts is when this recorder OBSERVED the trade, not the venue's event time; do not compare it against exchange-timed venues at sub-second resolution.\",\n  \"note\": null\n}"}]}]},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"37a00c72-e947-4ae4-8f76-9634caccb433","timestamp":"2026-09-29T20:12:34.218Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"7e162f296f444a0d\",\n  \"shard_presence\": {\n    \"shards_present\": 60,\n    \"shards_expected\": 60,\n    \"days_indexed\": 5,\n    \"days_requested\": 5,\n    \"empty_shard_files\": 0,\n    \"days_unindexed\": 0,\n    \"days_measured\": 5,\n    \"days_blind\": 0,\n    \"catalog_covers\": {\n      \"from\": \"2025-12-31\",\n      \"to\": \"2026-09-29\"\n    },\n    \"dataset_indexed\": true,\n    \"measured\": true,\n    \"fraction\": 1.0\n  },\n  \"presence_warning\": null,\n  \"shard_coverage\": 0.991,\n  \"healthy_shard_coverage\": 0.991,\n  \"coverage_warning\": null,\n  \"known_data_labels\": null,\n  \"label_source\": {\n    \"roots_checked\": 3,\n    \"label_files_found\": 1,\n    \"files\": [\n      \"/mnt/nasrecorders/_labels/nado/trades/labels.jsonl\"\n    ],\n    \"kinds_exhaustive\": [],\n    \"kinds_not_emitted\": [\n      \"census_incomplete\",\n      \"permission\",\n      \"type_widened\"\n    ],\n    \"coverage_declared_by\": \"mission-2/nm-recovery\",\n    \"scope_notes\": {},\n    \"scope_notes_omitted\": \"Scope notes for absent, biased_subset, census_incomplete, not_archived, partial_window, permission, precision, type_widened, unreadable are not included because no label of those kinds is in force for this window. They are in _labels/_coverage.json, and data_quality returns them in full.\",\n    \"absence_note\": \"NO label kind is claimed exhaustive here, so absence of a label never means the thing did not happen — only that nobody recorded it. See scope_notes for where absence can be relied on.\",\n    \"warning\": null\n  },\n  \"completeness_unavailable\": null,\n  \"slices\": null,\n  \"columns\": [\n    \"d\",\n    \"nbars\",\n    \"ntr\",\n    \"vol\",\n    \"notional\"\n  ],\n  \"rows\": [\n    [\n      \"2026-09-24T00:00:00Z\",\n      1406,\n      40498,\n      1490.0732000000014,\n      125195091.48284999\n    ],\n    [\n      \"2026-09-25T00:00:00Z\",\n      1356,\n      36263,\n      1159.0237500000012,\n      97515504.81460005\n    ],\n    [\n      \"2026-09-26T00:00:00Z\",\n      1045,\n      15911,\n      591.1431999999998,\n      49679574.020850025\n    ],\n    [\n      \"2026-09-27T00:00:00Z\",\n      1225,\n      23132,\n      643.8543499999994,\n      54443970.82624997\n    ],\n    [\n      \"2026-09-28T00:00:00Z\",\n      1405,\n      49163,\n      1534.0814500000006,\n      127881285.68009998\n    ]\n  ],\n  \"row_count\": 5,\n  \"truncated\": false,\n  \"shards_bound\": 61,\n  \"rows_estimated\": 194640,\n  \"zero_rows_note\": null,\n  \"table_t\": \"1-minute bars\",\n  \"table_t_note\": \"Bars built from fewer than 3 trades are ABSENT from t, not zero-valued. See withheld_by_floor for HOW MUCH this window lost - a gap in t is a withheld bar or a minute with no trades, and the counts there are the only way to tell.\",\n  \"withheld_by_floor\": {\n    \"bars\": 451,\n    \"trades\": 669,\n    \"volume\": 12.253249999999996,\n    \"min_trades\": 3,\n    \"note\": \"451 minute bar(s) holding 669 trade(s) were withheld because each was built from fewer than 3 trades. Those trades are NOT in any sum, count or volume you compute from t. Add them back from these totals before quoting a notional, or state the shortfall.\"\n  },\n  \"extremum_warning\": \"YOUR EXTREMUM MAY BE WRONG IN ITS ARGUMENT, NOT JUST ITS VALUE. This query selects a maximum, minimum or ordering, and 451 bar(s) were withheld from `t` because each held fewer than 3 trades. A true extreme minute is often a THIN one, so the row you want is disproportionately likely to be among those withheld: a measured case had the largest dislocation in a 2-trade minute, and the reported answer named the wrong minute with a plausible value. withheld_by_floor totals CANNOT repair this the way they repair a sum. Either state that the extremum is over bars of at least 3 trades only, or obtain the data in a mode without the floor.\",\n  \"timestamp_semantics\": \"observation\",\n  \"timestamp_note\": \"ts is when this recorder OBSERVED the trade, not the venue's event time; do not compare it against exchange-timed venues at sub-second resolution.\",\n  \"note\": null\n}"}]}
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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLjLRBdHXoS7vq4mr7U","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAQSxQYKEAgSGAI4AUIIdGhpbmtpbmcSDAJtnseEWjeHYF0oBRoMt3EoCGFgFnA/fOsyIjArs1+hp1ul7Yte7gTmrqSEm7GK38Iqt96UBrD0L8OF5YJN053VIO9Id7E3E/V0AnAq4gXxlNuK0v95/KFTcqPp7zasP4X8Ce+D6BG3YfAhDMOkMTX7ODSVnYId21zsWKg+dMuJWVe62aF8af0hUMsLLjHwmzX0eKWXGQSjnW6jW/SVbZGwXYWdi7OEZkCiDkrP4wbNcIIF+tsl6LYSrmXYHgCHjaNIw/fZ42Zo3jsHwE7Is9jUnCnVKkLAZAYG4QYnSV6QcdFMbAIpDSDbLgWdU4nmsl2G+9HRy9V2HFW68W1jaJThFNEjfJlNMxk2i66do/PNhka1AKqUXfOS9d47/RfCJPnwRS+RkgCPgWJ6u3VkZ5MsFc+sb05vMucxHL3/tVbZBRtaDyfldX6ryACUPBjTrm+VuSV/M4sCf2LwrknnFIUCjvT4zAVEl685WMH1oGo5u81dJ22h+RpRC2eIbWh+sAMg5PdhOdodbc8YGRFkJm7OfSB10oWcIF81V7oU1idm3bNKSVxSjH7AzJceCAXNyvDcfeoGuCuEGe8dVjQsKXXS0oWhp5Tr2zDxDpSTFkRhXg9qeSmQk/XvT/vSNfZgKXKmUMoZIML8dD/oVt7ZwEnYlC16pnkYwVRiCeJ++LWWd9ehxX4wpX+iI25GetYR9xgIE6I+PfG/Ck6Coe3JNaE9LXBshbjmH3KU1xmhMQsY4TkZ86OmURL9SxNk1S72a6uZq6Xalw+QVlAVLopZxnuQ3Fx11GRhoS2LZRlmESy6/KUqLa2juYnuw8SVg2fICj0YO/CfYBDpKyua0b2dLEucuLjvT1AsGjykW6ipfIHsCEXvkECsRKESlLKYXCA1wa/xiGjeIHiCcGs6DftbMcKpvxdj0205fOEttQfA+YM8MOTPMYXbv0iHs2wsTkUjPntPmrfcoT1SYO9/5PyivNnwTEM45oNUGC2Jwsk6z1tf6s9OtcxvyrxuprmxCv2GU7XkkR4ZcuTLc72Gfpr3iWmxPBTs67ZLb0B86D/ZGyOVnHXkILXe/DmDHZRn0mdGdJIYAQ=="}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2145,"cache_read_input_tokens":39675,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2145},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"828c69c7-f285-404d-8a55-4b65d7626212","timestamp":"2026-09-29T20:12:35.910Z","request_id":"req_011CfYLjL46waNRc5txP9FGh"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLjLRBdHXoS7vq4mr7U","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WBHDfMcbWrXftxkR5Ko1ik","name":"Bash","input":{"command":"/tmp/peerfeed-a21/venv/bin/python -c \"\nv=[(13.04545,84290.74860583573),(18.3305,84377.79544747826),(18.33674999999999,84446.56466385815),(32.45825000000003,84379.8163317492),(23.541300000000028,84365.76674185357),(33.846950000000035,84476.37207488404),(26.214850000000013,84526.80260615637),(35.912049999999994,84588.558327915),(33.03440000000006,84757.74484022702),(28.57170000000003,84719.18647997838),(31.545800000000035,84885.12739096793),(13.005749999999999,84836.59690521505),(12.861299999999986,84914.16553925352),(39.0292000000001,84794.60424502662),(45.03624999999997,84699.21353243222),(40.899550000000104,84454.45108320241),(23.187850000000005,84453.16247086294),(17.44209999999999,84395.67018306286),(17.734050000000003,84661.87381337033),(20.14869999999999,84719.54058822658),(21.181199999999993,84621.45137669257),(20.934699999999996,84566.99301399116),(44.613950000000074,84313.09838066336),(35.96500000000008,84300.93537605988)]\nprint(sum(a for a,b in v), sum(a*b for a,b in v))\""},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2145,"cache_read_input_tokens":39675,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2145},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"2bdac993-a6b3-4f6f-9c2c-7fc06ef51b5c","timestamp":"2026-09-29T20:12:38.674Z","request_id":"req_011CfYLjL46waNRc5txP9FGh","wire_tool_inputs":{"toolu_01WBHDfMcbWrXftxkR5Ko1ik":{"command":"/tmp/peerfeed-a21/venv/bin/python -c \"\nv=[(13.04545,84290.74860583573),(18.3305,84377.79544747826),(18.33674999999999,84446.56466385815),(32.45825000000003,84379.8163317492),(23.541300000000028,84365.76674185357),(33.846950000000035,84476.37207488404),(26.214850000000013,84526.80260615637),(35.912049999999994,84588.558327915),(33.03440000000006,84757.74484022702),(28.57170000000003,84719.18647997838),(31.545800000000035,84885.12739096793),(13.005749999999999,84836.59690521505),(12.861299999999986,84914.16553925352),(39.0292000000001,84794.60424502662),(45.03624999999997,84699.21353243222),(40.899550000000104,84454.45108320241),(23.187850000000005,84453.16247086294),(17.44209999999999,84395.67018306286),(17.734050000000003,84661.87381337033),(20.14869999999999,84719.54058822658),(21.181199999999993,84621.45137669257),(20.934699999999996,84566.99301399116),(44.613950000000074,84313.09838066336),(35.96500000000008,84300.93537605988)]\nprint(sum(a for a,b in v), sum(a*b for a,b in v))\""}}}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WBHDfMcbWrXftxkR5Ko1ik","type":"tool_result","content":"646.8776000000005 54699332.87545","is_error":false}]},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"eab76dd0-17e2-4ccc-835a-9fb874d11984","timestamp":"2026-09-29T20:12:38.747Z","tool_use_result":{"stdout":"646.8776000000005 54699332.87545","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"169e59f8-511b-4473-b3df-62510500c460"}
{"type":"system","subtype":"thinking_tokens","estimated_tokens":226,"estimated_tokens_delta":176,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"95fe3586-e371-4f1f-a61d-60663060464c"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLjfoFfSWb1VPaVizGJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAQS/gYKEAgSGAI4AUIIdGhpbmtpbmcSDFU1sDHVZLxLGn6xDhoMKTsCtr27Y+3UCygdIjDwWvrvJRr1bfLAzvoCn1vjHLMlmksLs2wg2G18tOf4nCs7a5QPNAOpP7KzKzA9TNQqmwZGd6Q5aWqW42zPU7oZCfGwgBh6z7mzlrf2XU40W8VLTbK4Q95dqZEXbFrgCUkxfVpUjkdBsFcyi2xuNPAX6klf1VAWxq74WXdEndiA/9jkJPDIC7pJLoHyQuxrvoMOQ47l50R7j94lrHdvFTMKhhFvTadb7rbv1qZL77XSgXx6ACtNiW9gVXkjlM1/awBwlTADtLPyyq52l/1w9QDCFr+Gr/tX45RlHYd1cav6yRTVg0nURQ4uSJQy6PSf/UYVdHkQEejubdmblZv1C3FkcenUlBowi/94bRBQ0Ec6GGHZjkKiEkJj3D1ZfwzB86r1Q4a22mskc8Azk3uBZ6e06QiRWUfDyIvG9QCNqQa6YqYmM5HZ/jbslUOQAL+YlfYDhzyHKKKkGThjkwU5ypdvT7ExeBDPsPjGC32lWF1YDimrwctCNOdS88X3R0elUK8W7mlH6WUX+HBQYY5hQBXJGljByhBUxNbNGLAmmPbplBtKUx621fvLWo/am6kURExtZI6xrBs+6YBJYcB7qO7ThBjrDRZYWSuO3EQeucH1o9p2hQEvs/e72LYZbD//tfoImTcudgLFKFJ5P2jIfe7+w8FwXQPOtDnEEsqnCs3SLcxlVxGO0SATDCbFTYGfANKeY1m297fPild1oopeIu9vlNVOKmSzwnzPDOB5o5/bbC9B0oT1TrcXXPffD9Xt89sQPgDzbBaA19iBKH+wUB6IpjYW9DnuDQjbGGZJP6jA2oJAnRdDpgZ07FrTRE1EwMNZvO83DbtrK9ejKDxI8dOZszB79Tgkw0yFE6QxU2pWCQS+EKXTiNcEJq6M7KnAmXRB2XjDFpz0kRb8GgqU5eUAlrqgb8R4B0pS/zaBKZeypcMJIXpWE6xpHWHSMbnvLr6HCXXY0Nb4y1tPFb22mAeDOM2vGHzSfUwaJRaqTuNJXViLioDnnGqUO7AnwvxadAhqKlJH37hc1i0R+Syywre8G1bVUah/6WRPyvBdxBkVoCSPk2HaPtZJb/61i9nyD1zqmxfVo+t0p/5sdpRck15rgCGSGZM2YGoMcapNQTUYAQ=="}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":632,"cache_read_input_tokens":41820,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":632},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"bbddc544-b2c7-498d-9532-6c429c5a4e2d","timestamp":"2026-09-29T20:12:48.517Z","request_id":"req_011CfYLjfTACYedTeMdrhhj2"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLjfoFfSWb1VPaVizGJ","type":"message","role":"assistant","content":[{"type":"text","text":"The BTC perpetual on Nado traded about **$54.70M** of notional on 2026-09-27 (UTC). That covers 646.88 BTC over 23,319 trades.\n\n**How I got it**\n- **Instrument:** Nado lists markets by numeric ID, and I took product 2 (`nado/trades:2`) as the BTC perp. That follows the Vertex numbering Nado inherited, and its prices ran from about 84,080 to 85,130 USD that day, which fits BTC.\n- **Data completeness:** all 12 two-hour files for the day are present, and each spans 99.1% of its window, the same as healthy files for this feed. The known problem of files holding only the first ~31 minutes of their window stopped after 2026-09-16, and no issue is flagged on 2026-09-27.\n- **Calculation:** notional is the sum over hours of hourly volume × hourly VWAP, which equals the sum of price × size over all trades. I used the 24 hourly bars because every hour had well over 3 trades, so no bar was withheld and nothing is missing.\n- **Cross-check:** summing the 1-minute bars instead gives $54.44M from 643.85 BTC and 23,132 trades. The gap of 187 trades and about 3.0 BTC is the thin minutes the server hides, because a 1-minute bar needs at least 3 trades to be shown. So the two methods agree.\n\n**Caveats**\n- Notional counts each fill's taker size once; it is not buyer plus seller.\n- Trade times are when the recorder saw each trade, not the exchange's own time. Only trades within seconds of midnight could fall on the wrong side of the day boundary.\n- The only duplication warning for this feed ends on 2026-09-26. The day's trade count sits between its neighbours (15.9k on the 26th, 49.2k on the 28th), so I see no sign of duplicated trades.\n\n## FINAL ANSWER\n**Total traded notional of the Nado BTC perp on 2026-09-27 (UTC) ≈ $54,699,333 (about $54.70M).** That is 646.88 BTC over 23,319 trades at an average price of about $84,560.\n\nJudgement calls:\n1. I took product ID 2 to be the BTC perpetual.\n2. Notional is taker size × price, counted once per fill, not two-sided.\n3. I used hourly bars so no trades were dropped. Summing the 1-minute bars would have left out 187 trades in thin minutes and given $54.44M.\n4. The day is assigned by when the recorder observed each trade, not the exchange's timestamp.\n5. I judged the day complete, with no fix needed for missing or duplicated data."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":632,"cache_read_input_tokens":41820,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":632},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","uuid":"9f5f2b5a-fc09-4d40-a580-29dd8840319a","timestamp":"2026-09-29T20:12:49.570Z","request_id":"req_011CfYLjfTACYedTeMdrhhj2"}
{"duration_api_ms":29554,"stop_reason":"end_turn","session_id":"3570d9a4-bc40-43ab-b07a-7526b2745c2b","total_cost_usd":0.38757600000000003,"usage":{"input_tokens":12,"cache_creation_input_tokens":37330,"cache_read_input_tokens":153140,"output_tokens":2913,"output_tokens_details":{"thinking_tokens":616},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":37330,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":974,"cache_read_input_tokens":41820,"cache_creation_input_tokens":632,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":632},"type":"message"}],"speed":"standard","fallback_credit":null},"modelUsage":{"claude-opus-5-5":{"inputTokens":12,"outputTokens":2913,"cacheReadInputTokens":153140,"cacheCreationInputTokens":37330,"webSearchRequests":0,"costUSD":0.38757600000000003,"contextWindow":1000000,"maxOutputTokens":128000,"thinkingTokens":616,"canonicalModel":"claude-opus-5-5","provider":"firstParty","costBasis":"list"}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","fast_mode_disabled_reason":"sdk_opt_in_required","subagent_stats":{"spawned":0,"requested":{"background":0,"foreground":0,"unset":0},"started_in_background":0,"max_depth":0,"spawned_by_subagents":0,"completed":0,"failed":0,"killed":{"parent":0,"user":0,"system":0},"refused":{"depth_limit":0,"concurrency_limit":0,"budget":0},"by_type":{}},"is_error":false,"num_turns":9,"subtype":"success","api_error_status":null,"result":"The BTC perpetual on Nado traded about **$54.70M** of notional on 2026-09-27 (UTC). That covers 646.88 BTC over 23,319 trades.\n\n**How I got it**\n- **Instrument:** Nado lists markets by numeric ID, and I took product 2 (`nado/trades:2`) as the BTC perp. That follows the Vertex numbering Nado inherited, and its prices ran from about 84,080 to 85,130 USD that day, which fits BTC.\n- **Data completeness:** all 12 two-hour files for the day are present, and each spans 99.1% of its window, the same as healthy files for this feed. The known problem of files holding only the first ~31 minutes of their window stopped after 2026-09-16, and no issue is flagged on 2026-09-27.\n- **Calculation:** notional is the sum over hours of hourly volume × hourly VWAP, which equals the sum of price × size over all trades. I used the 24 hourly bars because every hour had well over 3 trades, so no bar was withheld and nothing is missing.\n- **Cross-check:** summing the 1-minute bars instead gives $54.44M from 643.85 BTC and 23,132 trades. The gap of 187 trades and about 3.0 BTC is the thin minutes the server hides, because a 1-minute bar needs at least 3 trades to be shown. So the two methods agree.\n\n**Caveats**\n- Notional counts each fill's taker size once; it is not buyer plus seller.\n- Trade times are when the recorder saw each trade, not the exchange's own time. Only trades within seconds of midnight could fall on the wrong side of the day boundary.\n- The only duplication warning for this feed ends on 2026-09-26. The day's trade count sits between its neighbours (15.9k on the 26th, 49.2k on the 28th), so I see no sign of duplicated trades.\n\n## FINAL ANSWER\n**Total traded notional of the Nado BTC perp on 2026-09-27 (UTC) ≈ $54,699,333 (about $54.70M).** That is 646.88 BTC over 23,319 trades at an average price of about $84,560.\n\nJudgement calls:\n1. I took product ID 2 to be the BTC perpetual.\n2. Notional is taker size × price, counted once per fill, not two-sided.\n3. I used hourly bars so no trades were dropped. Summing the 1-minute bars would have left out 187 trades in thin minutes and given $54.44M.\n4. The day is assigned by when the recorder observed each trade, not the exchange's timestamp.\n5. I judged the day complete, with no fix needed for missing or duplicated data.","ttft_ms":2004,"type":"result","duration_ms":32220,"uuid":"707ee5fe-b6b2-4749-a704-da010250b7da","ttft_stream_ms":870,"time_to_request_ms":51,"first_content_frame_ms":870,"queued_turn_count":0,"result_index":0}