{"uid":"cap_thsGOYVE3zh-2dBw8BOMl","slug":"trading-journal-observations-two-measure-correlation-explicit-missing-21c54719","name":"Trading Journal Observations — Two-Measure Correlation + Explicit Missing-Value Fill","description":"Trading journal observations — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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-09-184?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_54dSemK5grMN5qVPteZ5s","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 Pearson correlation between entry_price and exit_price and fills missing values in a chosen field using zero, mean, or median imputation for up to 200 trading journal rows.","exampleAgentPrompt":"I have 50 rows of trading journal data with entry_price and exit_price fields — can you fill any missing exit_price values using median imputation and then compute the correlation between entry and exit prices across all rows?","exampleUseCases":[{"title":"Equity trade log correlation check","prompt":"I've got 120 rows from my equity trading journal with entry_price and exit_price columns — please compute the correlation between the two and fill any missing entry_price values using mean imputation."},{"title":"Multi-instrument missing price cleanup","prompt":"My trading records across three instrument groups have some null exit_price values — fill those nulls with zero and also tell me how correlated the entry and exit prices are across all 80 rows."},{"title":"Options journal data quality pass","prompt":"Here are 35 options trade records with entry_price and exit_price — run a missing-value fill on exit_price using median and give me a correlation report between entry and exit prices."}],"resultDescription":"Two analytical reports: (1) a Pearson correlation result between entry_price and exit_price across the supplied rows, and (2) a missing-value fill report showing which rows had nulls in the chosen field and what values were imputed using the selected method (zero, mean, or median). Both reports are computed locally on the supplied data with no external data fetched.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds row limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Unrecognized fill method enum value — schema validation error","All values in the target field are null — correlation cannot be computed","Invalid field enum — must be entry_price or exit_price","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have tabular trading journal data (up to 200 rows) and need both a correlation analysis between entry and exit prices AND a missing-value imputation in a single call at low cost ($0.01 USDC). It is best suited for offline/batch analytical passes on supplied data rather than live market data lookups or predictive modeling. Prefer this over general-purpose statistics tools when you want a bundled two-report output (correlation + fill) specific to trading journal schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:40.192Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-two-measure-correlation-explicit-missing-21c54719"}