{"uid":"cap_Gp-h3g0WNkXtsEyY3e-Qe","slug":"trading-journal-observations-string-normalisation-date-by-category-6168b1db","name":"Trading Journal Observations — String Normalisation + Date by Category Pivot","description":"Trading journal observations — String normalisation + Date by category pivot: String normalisation + 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-09-035?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_rPeXFEDwQ-ughS5b1d5aI","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":"Runs string normalisation and date-by-category pivot analysis on up to 200 trading journal observation rows (entry_price, exit_price), returning two local analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a date-by-category pivot on my trading journal rows — I have 4 records with instrument groups 'equities' and 'fx', dates from 2025-01-01 to 2025-01-04, entry_price values like 100, 200, 150, 300, and exit_price values like 95, 210, 145, 310 — run the reports on entry_price?","exampleUseCases":[{"title":"Daily trade log quality check","prompt":"I have 50 rows from today's trading journal — each has a row ID, instrument group like 'crypto' or 'equities', a date in YYYY-MM-DD format, and entry and exit prices. Can you normalise the entry_price strings and give me a pivot of those prices broken down by date and instrument group?"},{"title":"Multi-instrument pivot for weekly review","prompt":"Here are 120 trading observations spanning last week across instrument groups 'futures', 'options', and 'forex' — can you run the string normalisation and date-by-category pivot on the exit_price field and give me both reports?"},{"title":"Spot-checking a small trade sample","prompt":"I've got 8 trade records with row IDs, dates, instrument groups 'bonds' and 'equities', plus entry and exit prices — please run the two analytical reports on entry_price to normalise the strings and show me the date-category pivot."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report covering the chosen price field (entry_price or exit_price), and (2) a date-by-category pivot table grouping the selected price values by date and instrument_group. All computation is performed locally on the supplied rows — no external data is fetched.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","entry_price or exit_price values outside allowed numeric range — validation error","Missing required fields (row_id, instrument_group, date) — schema rejection","Invalid field enum value (not 'entry_price' or 'exit_price') — request error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a date-by-category pivot on trading journal price data (entry or exit price) in a single cheap call — especially for batches up to 200 rows. It is ideal for offline/local analytical processing of trade records without needing live market data, predictions, or external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:30.227Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-string-normalisation-date-by-category-6168b1db"}