{"uid":"cap_aSHP1sf5nqg8nb6vOz0XK","slug":"trading-journal-observations-string-normalisation-exact-row-5725bb38","name":"Trading Journal Observations — String Normalisation + Exact Row Deduplication","description":"Trading journal observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-09-020?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}}},"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_aJcUXRrRTN_7cm-CU5FnC","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":"Normalises strings and deduplicates exact rows in trading journal observation records (entry_price, exit_price) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you clean up these trading journal rows by normalising the string fields and removing any exact duplicate entries? I have 4 rows across two instrument groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04 and various entry/exit prices.","exampleUseCases":[{"title":"Deduplicating daily trade log exports","prompt":"I export my trading journal every day and sometimes entries get duplicated — can you run string normalisation and exact deduplication on these 50 trade rows so I get a clean dataset? Each row has a row_id, date, instrument group, entry price, and exit price."},{"title":"Cleaning instrument group labels before reporting","prompt":"My trading journal has inconsistent capitalisation and spacing in the instrument_group field across about 120 rows — can you normalise those strings and also flag any completely duplicate rows so I can fix the source data before I run my monthly report?"},{"title":"Pre-analysis data quality check on trade observations","prompt":"Before I feed these 200 trade observations into my P&L model, I want to make sure there are no exact duplicate rows and that all the string fields like instrument_group are normalised — can you run both checks and give me the two reports?"}],"resultDescription":"Two analytical reports: one covering string normalisation results for text fields (e.g. instrument_group) and one covering exact row deduplication findings across all supplied trading journal rows. No live data, predictions, or external lookups are included — all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — request rejected","Missing required fields (row_id, date, entry_price, exit_price, instrument_group) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","entry_price or exit_price outside allowed numeric range — validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need to clean trading journal data offline — specifically to normalise string fields and remove exact duplicate rows — without any live market lookup, prediction, or external service dependency. It is well suited as a lightweight pre-processing step before downstream financial analysis, at a fixed low cost of $0.01 USDC for up to 200 rows and 2 reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:57.968Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-string-normalisation-exact-row-5725bb38"}