{"uid":"cap_hItasjmT21Yt4uhpXcvqu","slug":"trading-journal-observations-weighted-mean-date-by-category-pivot-feffdd95","name":"Trading Journal Observations — Weighted Mean & Date-by-Category Pivot","description":"Trading journal observations — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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-09-185?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"}}},"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_4gZn9eE7Ds-i7eH3z5wlK","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 secondary-measure weighted mean and a date-by-category pivot table for up to 200 trading journal rows containing entry and exit prices.","exampleAgentPrompt":"Can you run a weighted mean and date-by-category pivot on my trading journal data? I have 4 rows: row-1 on 2026-10-01 with entry_price 10 and exit_price 1 for group-a, row-2 on 2026-10-02 with entry_price 20 and exit_price 2 for group-b, row-3 on 2026-10-03 with entry_price 15 and exit_price 3 for group-a, row-4 on 2026-10-04 with entry_price 30 and exit_price 4 for group-b — use entry_price as the field.","exampleUseCases":[{"title":"Weighted mean by instrument group","prompt":"I have 50 trade records from last quarter with entry and exit prices across equities and futures groups — can you compute the weighted mean of entry_price and give me a date-by-category pivot so I can see how each instrument group performed over time?"},{"title":"Daily exit price pivot for review","prompt":"Here are 120 rows from my trading journal with dates, instrument groups, entry prices, and exit prices — run the secondary-measure weighted mean and date-by-category pivot using exit_price as the field so I can review daily patterns by group."},{"title":"Pre-report trade summary analysis","prompt":"Before I send my monthly trading report, can you process these 80 journal rows — each has a row_id, date, instrument_group, entry_price, and exit_price — and give me both the weighted mean and a pivot table by date and category using entry_price?"}],"resultDescription":"Returns two analytical reports: (1) a secondary-measure weighted mean for the selected field (entry_price or exit_price) across the supplied rows, and (2) a date-by-category pivot table breaking down values by date and instrument_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, instrument_group, date, entry_price, or exit_price) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'entry_price' or 'exit_price' — enum validation error","All numeric values are null — weighted mean may be undefined or return an error","Payment of 0.01 USDC not fulfilled — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both a weighted mean and a date-by-category pivot on trading journal data (entry/exit prices) in a single $0.01 call covering up to 200 rows. It is purpose-built for trading observation data with instrument_group categorization and date-indexed pivoting, making it ideal for post-session trade analysis or monthly reporting pipelines where no live market data or predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:37.815Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-weighted-mean-date-by-category-pivot-feffdd95"}