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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K7xebC5v4hKgw5faRMNyyZ","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"726472e24c674f52\",\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":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"a0fb21bb-100c-499a-a4c1-4982de891e12","timestamp":"2026-09-29T20:13:13.230Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"726472e24c674f52\",\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_01N3T4j74j8h2wHvrRG4unYm","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"31ea392823594345\",\n  \"instrument\": \"hyperliquid/trades:BTC\",\n  \"dataset\": \"hyperliquid/trades\",\n  \"kind\": \"trades\",\n  \"columns\": {\n    \"instrument\": \"coin\",\n    \"timestamp\": \"time\",\n    \"price\": \"px\",\n    \"size\": \"sz\",\n    \"side\": \"side\"\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\": \"exchange\",\n  \"timestamp_note\": \"ts is the venue's own event time.\",\n  \"first_ts\": \"2025-10-25T19:24:44.919000+00:00\",\n  \"last_ts\": \"2026-09-29T15:58:59.152000+00:00\",\n  \"days_covered\": 321,\n  \"total_rows\": 50731192,\n  \"avg_rows_per_day\": 158041,\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\": \"2025-10-25\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-26\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-27\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-28\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-31\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-01\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-08\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-09\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-11\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-12\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-13\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-14\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-15\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-16\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-17\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-18\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-19\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-20\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-21\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-22\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-23\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-24\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-25\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-26\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-27\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-28\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-29\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-30\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-01\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-02\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-03\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-04\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-05\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-08\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-09\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-10\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-11\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-12\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-13\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-14\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-15\",\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\": 11,\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  \"days_with_no_data_for_instrument\": [],\n  \"mean_shard_coverage\": 0.468,\n  \"low_coverage_days\": [\n    {\n      \"day\": \"2025-11-14\",\n      \"shard_coverage\": 0.653\n    },\n    {\n      \"day\": \"2025-11-18\",\n      \"shard_coverage\": 0.44\n    },\n    {\n      \"day\": \"2025-12-05\",\n      \"shard_coverage\": 0.562\n    },\n    {\n      \"day\": \"2025-12-06\",\n      \"shard_coverage\": 0.736\n    },\n    {\n      \"day\": \"2025-12-07\",\n      \"shard_coverage\": 0.84\n    },\n    {\n      \"day\": \"2025-12-08\",\n      \"shard_coverage\": 0.764\n    },\n    {\n      \"day\": \"2025-12-19\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2025-12-20\",\n      \"shard_coverage\": 0.319\n    },\n    {\n      \"day\": \"2025-12-21\",\n      \"shard_coverage\": 0.256\n    },\n    {\n      \"day\": \"2025-12-22\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-23\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-24\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-25\",\n      \"shard_coverage\": 0.661\n    },\n    {\n      \"day\": \"2025-12-28\",\n      \"shard_coverage\": 0.869\n    },\n    {\n      \"day\": \"2025-12-29\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-30\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2025-12-31\",\n      \"shard_coverage\": 0.56\n    },\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\": 0.258\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\": 0.261\n    },\n    {\n      \"day\": \"2026-01-11\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2026-01-12\",\n      \"shard_coverage\": 0.313\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\": 0.259\n    },\n    {\n      \"day\": \"2026-01-16\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-17\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-18\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-19\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-20\",\n      \"shard_coverage\": 0.315\n    },\n    {\n      \"day\": \"2026-01-21\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-22\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-23\",\n      \"shard_coverage\": 0.317\n    },\n    {\n      \"day\": \"2026-01-24\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-25\",\n      \"shard_coverage\": 0.251\n    },\n    {\n      \"day\": \"2026-01-26\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-27\",\n      \"shard_coverage\": 0.492\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\": 0.254\n    },\n    {\n      \"day\": \"2026-02-01\",\n      \"shard_coverage\": 0.316\n    },\n    {\n      \"day\": \"2026-02-02\",\n      \"shard_coverage\": 0.315\n    },\n    {\n      \"day\": \"2026-02-03\",\n      \"shard_coverage\": 0.254\n    }\n  ],\n  \"coverage_warning\": \"PARTIAL DATA: shards in this range span ~47% of their 2-hour windows, against ~99% for healthy shards of this feed, i.e. 47% 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\": 41,\n    \"kinds\": {\n      \"absent\": 6,\n      \"not_archived\": 5,\n      \"partial_window\": 30\n    },\n    \"permanent\": 36,\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\": 12\n    },\n    \"labels_omitted\": \"41 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/hyperliquid/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, 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      \"not_archived\",\n      \"partial_window\"\n    ],\n    \"scope_notes_omitted_here\": \"3 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":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"5cc33c98-f58d-46ee-a0f6-fba6079aec88","timestamp":"2026-09-29T20:13:13.329Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"31ea392823594345\",\n  \"instrument\": \"hyperliquid/trades:BTC\",\n  \"dataset\": \"hyperliquid/trades\",\n  \"kind\": \"trades\",\n  \"columns\": {\n    \"instrument\": \"coin\",\n    \"timestamp\": \"time\",\n    \"price\": \"px\",\n    \"size\": \"sz\",\n    \"side\": \"side\"\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\": \"exchange\",\n  \"timestamp_note\": \"ts is the venue's own event time.\",\n  \"first_ts\": \"2025-10-25T19:24:44.919000+00:00\",\n  \"last_ts\": \"2026-09-29T15:58:59.152000+00:00\",\n  \"days_covered\": 321,\n  \"total_rows\": 50731192,\n  \"avg_rows_per_day\": 158041,\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\": \"2025-10-25\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-26\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-27\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-28\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-10-31\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-01\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-08\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-09\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-11\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-12\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-13\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-14\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-15\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-16\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-17\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-18\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-19\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-20\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-21\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-22\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-23\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-24\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-25\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-26\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-27\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-28\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-29\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-11-30\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-01\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-02\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-03\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-04\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-05\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-06\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-07\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-08\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-09\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-10\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-11\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-12\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-13\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-14\",\n      \"shards_present\": 1,\n      \"shards_expected\": 12\n    },\n    {\n      \"day\": \"2025-12-15\",\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\": 11,\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  \"days_with_no_data_for_instrument\": [],\n  \"mean_shard_coverage\": 0.468,\n  \"low_coverage_days\": [\n    {\n      \"day\": \"2025-11-14\",\n      \"shard_coverage\": 0.653\n    },\n    {\n      \"day\": \"2025-11-18\",\n      \"shard_coverage\": 0.44\n    },\n    {\n      \"day\": \"2025-12-05\",\n      \"shard_coverage\": 0.562\n    },\n    {\n      \"day\": \"2025-12-06\",\n      \"shard_coverage\": 0.736\n    },\n    {\n      \"day\": \"2025-12-07\",\n      \"shard_coverage\": 0.84\n    },\n    {\n      \"day\": \"2025-12-08\",\n      \"shard_coverage\": 0.764\n    },\n    {\n      \"day\": \"2025-12-19\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2025-12-20\",\n      \"shard_coverage\": 0.319\n    },\n    {\n      \"day\": \"2025-12-21\",\n      \"shard_coverage\": 0.256\n    },\n    {\n      \"day\": \"2025-12-22\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-23\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-24\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-25\",\n      \"shard_coverage\": 0.661\n    },\n    {\n      \"day\": \"2025-12-28\",\n      \"shard_coverage\": 0.869\n    },\n    {\n      \"day\": \"2025-12-29\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2025-12-30\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2025-12-31\",\n      \"shard_coverage\": 0.56\n    },\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\": 0.258\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\": 0.261\n    },\n    {\n      \"day\": \"2026-01-11\",\n      \"shard_coverage\": 0.259\n    },\n    {\n      \"day\": \"2026-01-12\",\n      \"shard_coverage\": 0.313\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\": 0.259\n    },\n    {\n      \"day\": \"2026-01-16\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-17\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-18\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-19\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-20\",\n      \"shard_coverage\": 0.315\n    },\n    {\n      \"day\": \"2026-01-21\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-22\",\n      \"shard_coverage\": 0.258\n    },\n    {\n      \"day\": \"2026-01-23\",\n      \"shard_coverage\": 0.317\n    },\n    {\n      \"day\": \"2026-01-24\",\n      \"shard_coverage\": 0.257\n    },\n    {\n      \"day\": \"2026-01-25\",\n      \"shard_coverage\": 0.251\n    },\n    {\n      \"day\": \"2026-01-26\",\n      \"shard_coverage\": 0.255\n    },\n    {\n      \"day\": \"2026-01-27\",\n      \"shard_coverage\": 0.492\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\": 0.254\n    },\n    {\n      \"day\": \"2026-02-01\",\n      \"shard_coverage\": 0.316\n    },\n    {\n      \"day\": \"2026-02-02\",\n      \"shard_coverage\": 0.315\n    },\n    {\n      \"day\": \"2026-02-03\",\n      \"shard_coverage\": 0.254\n    }\n  ],\n  \"coverage_warning\": \"PARTIAL DATA: shards in this range span ~47% of their 2-hour windows, against ~99% for healthy shards of this feed, i.e. 47% 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\": 41,\n    \"kinds\": {\n      \"absent\": 6,\n      \"not_archived\": 5,\n      \"partial_window\": 30\n    },\n    \"permanent\": 36,\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\": 12\n    },\n    \"labels_omitted\": \"41 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/hyperliquid/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, 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      \"not_archived\",\n      \"partial_window\"\n    ],\n    \"scope_notes_omitted_here\": \"3 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}"}]}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLnDgxNFfeQT23s3q5G","type":"message","role":"assistant","content":[{"type":"text","text":"Check coverage for that day specifically."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12135,"cache_read_input_tokens":6207,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12135},"output_tokens":39,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"7723e2be-c16e-434f-9df8-afa43bdb254d","timestamp":"2026-09-29T20:13:14.574Z","request_id":"req_011CfYLnDLraEGnoaAt85oeD"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLnDgxNFfeQT23s3q5G","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RMyPFQaKndra89x5VPFJXP","name":"mcp__peerfeed__run_query","input":{"dataset":"hyperliquid/trades","instrument":"BTC","start":"2026-09-27T00:00:00Z","end":"2026-09-28T00:00:00Z","sql":"SELECT (hour(ts)//2)*2 AS shard, count(*) AS bars, sum(trades) tr, sum(volume) vol, sum(vwap*volume)/sum(volume) vwap, min(ts), max(ts) FROM t GROUP BY 1 UNION ALL SELECT 99, count(*), sum(trades), sum(volume), sum(vwap*volume)/sum(volume), min(ts), max(ts) FROM t ORDER BY 1"},"caller":{"type":"direct"}}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12135,"cache_read_input_tokens":6207,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12135},"output_tokens":39,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"56f54b44-05eb-4230-9bd3-d4f4da423939","timestamp":"2026-09-29T20:13:16.872Z","request_id":"req_011CfYLnDLraEGnoaAt85oeD","wire_tool_inputs":{"toolu_01RMyPFQaKndra89x5VPFJXP":{"dataset":"hyperliquid/trades","instrument":"BTC","start":"2026-09-27T00:00:00Z","end":"2026-09-28T00:00:00Z","sql":"SELECT (hour(ts)//2)*2 AS shard, count(*) AS bars, sum(trades) tr, sum(volume) vol, sum(vwap*volume)/sum(volume) vwap, min(ts), max(ts) FROM t GROUP BY 1 UNION ALL SELECT 99, count(*), sum(trades), sum(volume), sum(vwap*volume)/sum(volume), min(ts), max(ts) FROM t ORDER BY 1"}},"tool_use_meta":[{"id":"toolu_01RMyPFQaKndra89x5VPFJXP","display_name":"Run Query","server_display_name":"market-data"}]}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RMyPFQaKndra89x5VPFJXP","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"648a395e30604e6c\",\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\": \"2025-10-25\",\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\": 0.992,\n  \"healthy_shard_coverage\": 0.992,\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/hyperliquid/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    \"shard\",\n    \"bars\",\n    \"tr\",\n    \"vol\",\n    \"vwap\",\n    \"min(ts)\",\n    \"max(ts)\"\n  ],\n  \"rows\": [\n    [\n      0,\n      120,\n      9759,\n      547.61921,\n      84334.17937245118,\n      \"2026-09-27T00:00:00Z\",\n      \"2026-09-27T01:59:00Z\"\n    ],\n    [\n      2,\n      120,\n      8981,\n      481.32998,\n      84431.68548289886,\n      \"2026-09-27T02:00:00Z\",\n      \"2026-09-27T03:59:00Z\"\n    ],\n    [\n      4,\n      120,\n      10101,\n      481.33571000000006,\n      84444.28821040514,\n      \"2026-09-27T04:00:00Z\",\n      \"2026-09-27T05:59:00Z\"\n    ],\n    [\n      6,\n      120,\n      11393,\n      670.0201400000001,\n      84570.21603993874,\n      \"2026-09-27T06:00:00Z\",\n      \"2026-09-27T07:59:00Z\"\n    ],\n    [\n      8,\n      120,\n      19178,\n      2134.3006000000005,\n      84773.15610667023,\n      \"2026-09-27T08:00:00Z\",\n      \"2026-09-27T09:59:00Z\"\n    ],\n    [\n      10,\n      120,\n      15129,\n      1423.9852899999994,\n      84896.51142288136,\n      \"2026-09-27T10:00:00Z\",\n      \"2026-09-27T11:59:00Z\"\n    ],\n    [\n      12,\n      120,\n      19255,\n      1502.0072800000003,\n      84861.05882301049,\n      \"2026-09-27T12:00:00Z\",\n      \"2026-09-27T13:59:00Z\"\n    ],\n    [\n      14,\n      120,\n      23395,\n      1606.6549000000005,\n      84574.5632974636,\n      \"2026-09-27T14:00:00Z\",\n      \"2026-09-27T15:59:00Z\"\n    ],\n    [\n      16,\n      120,\n      11283,\n      578.5799400000001,\n      84474.27169160062,\n      \"2026-09-27T16:00:00Z\",\n      \"2026-09-27T17:59:00Z\"\n    ],\n    [\n      18,\n      120,\n      12386,\n      962.8763900000004,\n      84704.7999041704,\n      \"2026-09-27T18:00:00Z\",\n      \"2026-09-27T19:59:00Z\"\n    ],\n    [\n      20,\n      120,\n      12017,\n      1224.2127899999998,\n      84622.1218903374,\n      \"2026-09-27T20:00:00Z\",\n      \"2026-09-27T21:59:00Z\"\n    ],\n    [\n      22,\n      120,\n      22923,\n      2916.848259999999,\n      84302.92711173467,\n      \"2026-09-27T22:00:00Z\",\n      \"2026-09-27T23:59:00Z\"\n    ],\n    [\n      99,\n      1440,\n      175800,\n      14529.770489999992,\n      84600.70760744627,\n      \"2026-09-27T00:00:00Z\",\n      \"2026-09-27T23:59:00Z\"\n    ]\n  ],\n  \"row_count\": 13,\n  \"truncated\": false,\n  \"shards_bound\": 13,\n  \"rows_estimated\": 508242,\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\": 0,\n    \"trades\": 0,\n    \"volume\": null,\n    \"min_trades\": 3,\n    \"note\": \"Nothing was withheld: every bar in this window met the floor.\"\n  },\n  \"extremum_warning\": null,\n  \"timestamp_semantics\": \"exchange\",\n  \"timestamp_note\": \"ts is the venue's own event time.\",\n  \"note\": null\n}"}]}]},"parent_tool_use_id":null,"session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"61b3f9e8-1186-4d7a-a4d7-6364a5dcbd30","timestamp":"2026-09-29T20:13:17.118Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"648a395e30604e6c\",\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\": \"2025-10-25\",\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\": 0.992,\n  \"healthy_shard_coverage\": 0.992,\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/hyperliquid/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    \"shard\",\n    \"bars\",\n    \"tr\",\n    \"vol\",\n    \"vwap\",\n    \"min(ts)\",\n    \"max(ts)\"\n  ],\n  \"rows\": [\n    [\n      0,\n      120,\n      9759,\n      547.61921,\n      84334.17937245118,\n      \"2026-09-27T00:00:00Z\",\n      \"2026-09-27T01:59:00Z\"\n    ],\n    [\n      2,\n      120,\n      8981,\n      481.32998,\n      84431.68548289886,\n      \"2026-09-27T02:00:00Z\",\n      \"2026-09-27T03:59:00Z\"\n    ],\n    [\n      4,\n      120,\n      10101,\n      481.33571000000006,\n      84444.28821040514,\n      \"2026-09-27T04:00:00Z\",\n      \"2026-09-27T05:59:00Z\"\n    ],\n    [\n      6,\n      120,\n      11393,\n      670.0201400000001,\n      84570.21603993874,\n      \"2026-09-27T06:00:00Z\",\n      \"2026-09-27T07:59:00Z\"\n    ],\n    [\n      8,\n      120,\n      19178,\n      2134.3006000000005,\n      84773.15610667023,\n      \"2026-09-27T08:00:00Z\",\n      \"2026-09-27T09:59:00Z\"\n    ],\n    [\n      10,\n      120,\n      15129,\n      1423.9852899999994,\n      84896.51142288136,\n      \"2026-09-27T10:00:00Z\",\n      \"2026-09-27T11:59:00Z\"\n    ],\n    [\n      12,\n      120,\n      19255,\n      1502.0072800000003,\n      84861.05882301049,\n      \"2026-09-27T12:00:00Z\",\n      \"2026-09-27T13:59:00Z\"\n    ],\n    [\n      14,\n      120,\n      23395,\n      1606.6549000000005,\n      84574.5632974636,\n      \"2026-09-27T14:00:00Z\",\n      \"2026-09-27T15:59:00Z\"\n    ],\n    [\n      16,\n      120,\n      11283,\n      578.5799400000001,\n      84474.27169160062,\n      \"2026-09-27T16:00:00Z\",\n      \"2026-09-27T17:59:00Z\"\n    ],\n    [\n      18,\n      120,\n      12386,\n      962.8763900000004,\n      84704.7999041704,\n      \"2026-09-27T18:00:00Z\",\n      \"2026-09-27T19:59:00Z\"\n    ],\n    [\n      20,\n      120,\n      12017,\n      1224.2127899999998,\n      84622.1218903374,\n      \"2026-09-27T20:00:00Z\",\n      \"2026-09-27T21:59:00Z\"\n    ],\n    [\n      22,\n      120,\n      22923,\n      2916.848259999999,\n      84302.92711173467,\n      \"2026-09-27T22:00:00Z\",\n      \"2026-09-27T23:59:00Z\"\n    ],\n    [\n      99,\n      1440,\n      175800,\n      14529.770489999992,\n      84600.70760744627,\n      \"2026-09-27T00:00:00Z\",\n      \"2026-09-27T23:59:00Z\"\n    ]\n  ],\n  \"row_count\": 13,\n  \"truncated\": false,\n  \"shards_bound\": 13,\n  \"rows_estimated\": 508242,\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\": 0,\n    \"trades\": 0,\n    \"volume\": null,\n    \"min_trades\": 3,\n    \"note\": \"Nothing was withheld: every bar in this window met the floor.\"\n  },\n  \"extremum_warning\": null,\n  \"timestamp_semantics\": \"exchange\",\n  \"timestamp_note\": \"ts is the venue's own event time.\",\n  \"note\": null\n}"}]}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015jZiR64C3pECkeg3JxuVay","type":"tool_result","content":[{"type":"text","text":"{\n  \"call_id\": \"5e5bb6fa252e4795\",\n  \"findings\": [\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 224,\n      \"worst_value\": 0.0916,\n      \"healthy_value\": 0.9916116666666666,\n      \"first_day\": \"2025-11-18\",\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\": 12222,\n        \"files\": 1,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"timestamp_plausibility\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 57,\n      \"worst_value\": 655.973,\n      \"healthy_value\": 0.0,\n      \"first_day\": \"2025-10-25\",\n      \"last_day\": \"2025-12-31\",\n      \"message\": \"timestamps reach 656.0 day(s) outside the day they are filed under — stale replay or a unit error\",\n      \"detail\": {\n        \"earliest\": \"2024-03-15 01:38:51.897000+01:00\",\n        \"latest\": \"2025-12-31 23:29:59.680000+01:00\",\n        \"days_before_window\": 655.973,\n        \"days_after_window\": 0.0\n      }\n    },\n    {\n      \"check\": \"volume_anomaly\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 17,\n      \"worst_value\": 0.0005,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2025-10-31\",\n      \"last_day\": \"2026-08-16\",\n      \"message\": \"0% of the 4,616,750 row median for the preceding days\",\n      \"detail\": {\n        \"rows\": 2435,\n        \"baseline_median\": 4616750\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"hyperliquid/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\": 6514\n      }\n    },\n    {\n      \"check\": \"day_continuity\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 1,\n      \"worst_value\": 19.0,\n      \"healthy_value\": 0.0,\n      \"first_day\": null,\n      \"last_day\": null,\n      \"message\": \"19 day(s) missing, longest run 4 day(s)\",\n      \"detail\": {\n        \"first_day\": \"2025-10-25\",\n        \"last_day\": \"2026-09-29\",\n        \"days_present\": 321,\n        \"longest_gap_days\": 4,\n        \"gaps\": [\n          [\n            \"2025-10-29\",\n            \"2025-10-30\"\n          ],\n          [\n            \"2025-11-02\",\n            \"2025-11-05\"\n          ],\n          [\n            \"2025-11-10\",\n            \"2025-11-10\"\n          ],\n          [\n            \"2025-12-16\",\n            \"2025-12-16\"\n          ],\n          [\n            \"2026-04-04\",\n            \"2026-04-05\"\n          ]\n        ]\n      }\n    },\n    {\n      \"check\": \"catalog_staleness\",\n      \"dataset\": \"hyperliquid/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\": \"hyperliquid/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 29,\n      \"worst_value\": 204.8159,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2025-10-26\",\n      \"last_day\": \"2026-09-21\",\n      \"message\": \"204.8x the recent median — possible duplication\",\n      \"detail\": {\n        \"rows\": 1757525,\n        \"baseline_median\": 8581\n      }\n    },\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 23,\n      \"worst_value\": 0.5006,\n      \"healthy_value\": 0.9916116666666666,\n      \"first_day\": \"2025-11-14\",\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\": 2844117,\n        \"files\": 12,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"hyperliquid/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\": 2071875\n      }\n    }\n  ],\n  \"counts_by_severity\": {\n    \"critical\": 6,\n    \"warn\": 3\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":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"96689821-aa3b-4d8a-9bc0-ca4fd3afb21f","timestamp":"2026-09-29T20:13:18.384Z","tool_use_result":[{"type":"text","text":"{\n  \"call_id\": \"5e5bb6fa252e4795\",\n  \"findings\": [\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 224,\n      \"worst_value\": 0.0916,\n      \"healthy_value\": 0.9916116666666666,\n      \"first_day\": \"2025-11-18\",\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\": 12222,\n        \"files\": 1,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"timestamp_plausibility\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 57,\n      \"worst_value\": 655.973,\n      \"healthy_value\": 0.0,\n      \"first_day\": \"2025-10-25\",\n      \"last_day\": \"2025-12-31\",\n      \"message\": \"timestamps reach 656.0 day(s) outside the day they are filed under — stale replay or a unit error\",\n      \"detail\": {\n        \"earliest\": \"2024-03-15 01:38:51.897000+01:00\",\n        \"latest\": \"2025-12-31 23:29:59.680000+01:00\",\n        \"days_before_window\": 655.973,\n        \"days_after_window\": 0.0\n      }\n    },\n    {\n      \"check\": \"volume_anomaly\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 17,\n      \"worst_value\": 0.0005,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2025-10-31\",\n      \"last_day\": \"2026-08-16\",\n      \"message\": \"0% of the 4,616,750 row median for the preceding days\",\n      \"detail\": {\n        \"rows\": 2435,\n        \"baseline_median\": 4616750\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"hyperliquid/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\": 6514\n      }\n    },\n    {\n      \"check\": \"day_continuity\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"critical\",\n      \"days_affected\": 1,\n      \"worst_value\": 19.0,\n      \"healthy_value\": 0.0,\n      \"first_day\": null,\n      \"last_day\": null,\n      \"message\": \"19 day(s) missing, longest run 4 day(s)\",\n      \"detail\": {\n        \"first_day\": \"2025-10-25\",\n        \"last_day\": \"2026-09-29\",\n        \"days_present\": 321,\n        \"longest_gap_days\": 4,\n        \"gaps\": [\n          [\n            \"2025-10-29\",\n            \"2025-10-30\"\n          ],\n          [\n            \"2025-11-02\",\n            \"2025-11-05\"\n          ],\n          [\n            \"2025-11-10\",\n            \"2025-11-10\"\n          ],\n          [\n            \"2025-12-16\",\n            \"2025-12-16\"\n          ],\n          [\n            \"2026-04-04\",\n            \"2026-04-05\"\n          ]\n        ]\n      }\n    },\n    {\n      \"check\": \"catalog_staleness\",\n      \"dataset\": \"hyperliquid/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\": \"hyperliquid/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 29,\n      \"worst_value\": 204.8159,\n      \"healthy_value\": 1.0,\n      \"first_day\": \"2025-10-26\",\n      \"last_day\": \"2026-09-21\",\n      \"message\": \"204.8x the recent median — possible duplication\",\n      \"detail\": {\n        \"rows\": 1757525,\n        \"baseline_median\": 8581\n      }\n    },\n    {\n      \"check\": \"window_coverage\",\n      \"dataset\": \"hyperliquid/trades\",\n      \"severity\": \"warn\",\n      \"days_affected\": 23,\n      \"worst_value\": 0.5006,\n      \"healthy_value\": 0.9916116666666666,\n      \"first_day\": \"2025-11-14\",\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\": 2844117,\n        \"files\": 12,\n        \"reference\": \"feed's own post-fix median\",\n        \"reference_days\": 12\n      }\n    },\n    {\n      \"check\": \"shard_completeness\",\n      \"dataset\": \"hyperliquid/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\": 2071875\n      }\n    }\n  ],\n  \"counts_by_severity\": {\n    \"critical\": 6,\n    \"warn\": 3\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}"}]}
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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLnbJxXoJ8RyDjWwRfX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4897,"cache_read_input_tokens":18342,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4897},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"6bc46044-3524-46ec-b84a-c095d04af8f2","timestamp":"2026-09-29T20:13:26.088Z","request_id":"req_011CfYLnaz79CUuzVMCkCAzG"}
{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CfYLnbJxXoJ8RyDjWwRfX","type":"message","role":"assistant","content":[{"type":"text","text":"**FINAL ANSWER**\n\nThe volume-weighted average price of the Hyperliquid BTC perpetual on 2026-09-27 (UTC) was **≈ 84,600.71 USD**.\n\n**How I got it:** This PeerFeed host only serves 1-minute bars, not individual trades. So I multiplied each minute's VWAP by its volume, added those up for the day, and divided by the day's total volume. That gives the same result as a VWAP computed from every trade. The day covers 00:00:00 to 23:59:59 UTC, with 1,440 one-minute bars, 175,800 trades and about 14,529.77 BTC traded.\n\n**Data check:** This feed has had serious coverage problems in the past: shards were often built from only part of their 2-hour window, some shards were missing, and one day's files changed after they were measured. I checked this day specifically:\n- All 12 of its 12 two-hour shards are present.\n- Shards cover 0.992 of their windows, which is this feed's normal level.\n- There are no data-quality labels for the day.\n- No minute bars were dropped for having too few trades; all 1,440 minutes are there.\n- The file that changed after measurement belongs to 2026-09-21, not this day.\n\nI treated the day as complete and didn't add a caveat to the number.\n\n**Judgement calls:**\n1. I took \"BTC perpetual on Hyperliquid\" to mean the `hyperliquid/trades:BTC` series, which is Hyperliquid's BTC-USD perpetual.\n2. The day is the UTC calendar day, midnight to midnight, with the end excluded.\n3. The price is weighted by volume in BTC, not by USD value."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4897,"cache_read_input_tokens":18342,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4897},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","uuid":"b1e60399-ed34-4c82-9059-0ebc27e67bbc","timestamp":"2026-09-29T20:13:26.097Z","request_id":"req_011CfYLnaz79CUuzVMCkCAzG"}
{"duration_api_ms":13592,"stop_reason":"end_turn","session_id":"b85a1621-000e-4c87-a7f9-e7d20db79442","total_cost_usd":0.1740118,"usage":{"input_tokens":6,"cache_creation_input_tokens":17909,"cache_read_input_tokens":29879,"output_tokens":1237,"output_tokens_details":{"thinking_tokens":155},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":17909,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":708,"cache_read_input_tokens":18342,"cache_creation_input_tokens":4897,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4897},"type":"message"}],"speed":"standard","fallback_credit":null},"modelUsage":{"claude-opus-5-5":{"inputTokens":6,"outputTokens":1237,"cacheReadInputTokens":29879,"cacheCreationInputTokens":17909,"webSearchRequests":0,"costUSD":0.1740118,"contextWindow":1000000,"maxOutputTokens":128000,"thinkingTokens":155,"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":5,"subtype":"success","api_error_status":null,"result":"**FINAL ANSWER**\n\nThe volume-weighted average price of the Hyperliquid BTC perpetual on 2026-09-27 (UTC) was **≈ 84,600.71 USD**.\n\n**How I got it:** This PeerFeed host only serves 1-minute bars, not individual trades. So I multiplied each minute's VWAP by its volume, added those up for the day, and divided by the day's total volume. That gives the same result as a VWAP computed from every trade. The day covers 00:00:00 to 23:59:59 UTC, with 1,440 one-minute bars, 175,800 trades and about 14,529.77 BTC traded.\n\n**Data check:** This feed has had serious coverage problems in the past: shards were often built from only part of their 2-hour window, some shards were missing, and one day's files changed after they were measured. I checked this day specifically:\n- All 12 of its 12 two-hour shards are present.\n- Shards cover 0.992 of their windows, which is this feed's normal level.\n- There are no data-quality labels for the day.\n- No minute bars were dropped for having too few trades; all 1,440 minutes are there.\n- The file that changed after measurement belongs to 2026-09-21, not this day.\n\nI treated the day as complete and didn't add a caveat to the number.\n\n**Judgement calls:**\n1. I took \"BTC perpetual on Hyperliquid\" to mean the `hyperliquid/trades:BTC` series, which is Hyperliquid's BTC-USD perpetual.\n2. The day is the UTC calendar day, midnight to midnight, with the end excluded.\n3. The price is weighted by volume in BTC, not by USD value.","ttft_ms":2124,"type":"result","duration_ms":15125,"uuid":"b7d570dc-42be-4469-800c-7e2b81df3edb","ttft_stream_ms":937,"time_to_request_ms":89,"first_content_frame_ms":938,"queued_turn_count":0,"result_index":0}