{"uid":"cap_SZw_CZk_jKwHH_3b_D81O","slug":"trading-journal-observations-record-quality-audit-explicit-missing-022b8133","name":"Trading Journal Observations — Record Quality Audit + Explicit Missing-Value Fill","description":"Trading journal observations — Record quality audit + Explicit missing-value fill: Record quality audit + 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-09-019?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_nb8elP0cJxq56_VPmO4__","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":"Audits trading journal records (entry_price, exit_price) for quality issues and fills missing values using zero, mean, or median imputation, returning two reports for up to 200 rows.","exampleAgentPrompt":"Can you audit my trading journal records for data quality and fill any missing entry_price values using median imputation? Here are my rows: row-1 on 2026-10-01 in group-a with entry_price null and exit_price 1, row-2 on 2026-10-02 in group-b with entry_price 20 and exit_price 2.","exampleUseCases":[{"title":"Median imputation for missing exit prices","prompt":"I have 50 trading journal rows and several exit_price values are missing — can you fill those in using median imputation and also give me a quality audit report on all the records?"},{"title":"Zero-fill missing entries before backtesting","prompt":"Before I run my backtest, I need to fill all null entry_price values with zero across my 120 trade observations and get a quality audit showing which rows had issues."},{"title":"Mean-fill and audit for multi-group trade log","prompt":"I've got trade records across two instrument groups from last quarter — can you audit them for data quality and fill any missing entry_price fields using mean imputation across those rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues across the supplied trading journal rows (e.g. nulls, anomalies), and (2) an explicit missing-value fill report showing imputed values for the chosen field (entry_price or exit_price) using the selected method (zero, mean, or median). Covers up to 200 input rows. No external lookups or predictions are made.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — rejected with limit exceeded error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unknown imputation method or field enum value — rejected","Both entry_price and exit_price are null for all rows — imputation report may be trivial or empty","Malformed row objects with extra properties — rejected due to additionalProperties:false"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and missing-value imputation for trading journal records in a single low-cost call. It is ideal for pre-processing trade logs before analysis or backtesting, especially when you need structured reports on data completeness and filled price fields (entry_price or exit_price). Prefer this over generic data cleaning tools when your data is specifically structured as trading journal observations with instrument groups and dated price entries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:29.757Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-record-quality-audit-explicit-missing-022b8133"}