{"uid":"cap_BWH125pYJgJs0_N_dQNz9","slug":"trading-journal-observations-daily-sum-series-explicit-missing-value-c22c2204","name":"Trading Journal Observations — Daily Sum Series + Explicit Missing-Value Fill","description":"Trading journal observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-09-145?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","entry_price","exit_price"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"exit_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"entry_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","exit_price":1,"entry_price":10,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","exit_price":2,"entry_price":20,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","exit_price":3,"entry_price":15,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","exit_price":4,"entry_price":30,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["entry_price","exit_price"],"type":"string","default":"entry_price"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_0fOEVaNPFF-FSTRiqm93z","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a daily sum time series and fills missing values (zero, mean, or median) for trading journal entry/exit price records, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you analyze my trading journal data — I have 4 rows with entry and exit prices grouped by instrument across dates 2026-10-01 to 2026-10-04, and I want a daily sum series plus missing exit_price values filled using median imputation?","exampleUseCases":[{"title":"Daily PnL aggregation by instrument","prompt":"I have my trading journal records for October with entry and exit prices for two instrument groups — can you compute the daily sum series for exit_price and fill any missing values using the median so I can see my daily totals per group?"},{"title":"Missing entry price imputation for backtesting","prompt":"Some of my backtesting trade records are missing entry_price values — can you run a daily sum series on these 50 rows and fill the blanks with zeros so my backtest engine doesn't break?"},{"title":"Trade data quality check before reporting","prompt":"Before I submit my monthly trading report, can you aggregate my journal entries by date and fill any missing entry_price gaps using the mean — I have about 120 rows with instrument groups and I need two summary reports?"}],"resultDescription":"Returns two analytical reports: a daily sum time series aggregating the selected price field (entry_price or exit_price) across rows by date, and an explicit missing-value filled version of that series using the chosen fill method (zero, mean, or median). Covers up to 200 input rows organized by instrument group and date.","failureModes":["Missing required fields (row_id, date, instrument_group, entry_price, exit_price) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted causes a request rejection","Invalid enum values for 'field' or 'method' parameters cause errors","All-null price columns may produce degenerate fill results","Payment failure or insufficient USDC balance blocks the call"],"whenToPreferThis":"Choose this endpoint when you have structured trading journal records with entry and exit prices, need a daily sum time series, and want explicit missing-value imputation (zero, mean, or median) — all in a single $0.01 call returning two bundled reports. Best suited for offline batch analysis of up to 200 rows; not for live market data, predictions, or real-time monitoring.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:11.457Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-daily-sum-series-explicit-missing-value-c22c2204"}