{"uid":"cap_JZMmq3MnFsUMvHFaRwjZb","slug":"trading-journal-observations-daily-sum-series-iqr-outlier-flags-1880ac98","name":"Trading Journal Observations — Daily Sum Series + IQR Outlier Flags","description":"Trading journal observations — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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-09-140?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_COECIrMhM_5IRiTB_JNt3","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 daily sum time series and IQR-based outlier flags for entry_price or exit_price fields across up to 200 trading journal rows, delivering two analytical reports.","exampleAgentPrompt":"I have 150 trading journal records with dates, entry prices, exit prices, and instrument groups — can you compute the daily sum series and flag any IQR outliers for the entry_price field across all those rows?","exampleUseCases":[{"title":"Flagging anomalous trade entries","prompt":"Here are 80 rows from my trading journal with dates, instrument groups, entry prices, and exit prices — run the daily sum series and IQR outlier detection on entry_price so I can see which days or trades look abnormal."},{"title":"Daily exit price aggregation review","prompt":"I've got 120 trade records from last quarter. Can you calculate the daily sum series for exit_price and flag any outliers using the IQR method so I can review unusual days?"},{"title":"Instrument group price consistency check","prompt":"I'm reviewing consistency across two instrument groups in my trade log — I have 60 rows with entry_price and exit_price. Please run the daily sum series and IQR outlier flags on exit_price and give me both reports."}],"resultDescription":"Two analytical reports: (1) a daily sum time series aggregating the selected price field (entry_price or exit_price) by date across all supplied rows, and (2) IQR-based outlier flags identifying which rows or daily values fall outside the interquartile range bounds. No external data or predictions are included.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, instrument_group, entry_price, exit_price) — validation error","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure","Invalid field selector value not in enum ['entry_price','exit_price'] — rejected","All price values null — computation returns empty or degenerate series","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 trading journal records and need both a daily aggregated sum time series and IQR outlier detection on price fields in a single call. It is ideal for offline, local analytical computation on supplied data without any live market data, predictions, or external lookups. Prefer this over generic statistics APIs when your data fits the trading journal schema (entry_price, exit_price, instrument_group, date) and you need two complementary reports for the cost of one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:06.869Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-daily-sum-series-iqr-outlier-flags-1880ac98"}