{"uid":"cap_hHeF2unC1u5_H88etRc-0","slug":"data-reconciliation-daily-sum-series-iqr-outlier-flags-066418d2","name":"Data Reconciliation — Daily Sum Series + IQR Outlier Flags","description":"Data reconciliation — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied data reconciliation records (source_total, target_total). 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-analytics-11-140?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"}}},"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_vG82zLtm74U6zZ7z9Np4T","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 daily sum time series and flags IQR-based outliers for source_total and target_total reconciliation records supplied by the caller.","exampleAgentPrompt":"Analyze these reconciliation rows — up to 200 records with date, source_total, and target_total fields across dataset groups — and give me the daily sum series plus IQR outlier flags for the source_total field.","exampleUseCases":[{"title":"ETL pipeline reconciliation audit","prompt":"I have daily reconciliation records from our ETL pipeline with source_total and target_total for two dataset groups over the past month — can you compute the daily sum series and flag any IQR outliers in source_total so I can see which days had anomalous values?"},{"title":"Finance data discrepancy detection","prompt":"Here are 150 rows of financial reconciliation data by date with source_total and target_total columns — run the daily sum aggregation and IQR outlier detection on target_total so I can identify which days show unusual discrepancies."},{"title":"Data warehouse validation check","prompt":"I'm validating data loads across two groups in our warehouse. Can you take these reconciliation records and produce a daily sum time series plus flag any outliers using the IQR method on the source_total field?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating source_total or target_total values by date, and (2) IQR-based outlier flags identifying which rows or dates fall outside the interquartile range — all computed locally from the supplied rows without any external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error","Date format not matching YYYY-MM-DD pattern — schema validation failure","source_total or target_total values outside ±1,000,000,000,000 range — validation error","Invalid field enum value (not 'source_total' or 'target_total') — rejected","All null values in selected field — IQR computation not possible"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, local analytical computation over a modest batch of reconciliation records (up to 200 rows) to produce both a daily sum time series and IQR outlier flags in a single call at minimal cost ($0.01 USDC for 2 reports). Ideal for ETL auditing, data quality checks, and reconciliation validation workflows where no external data access or predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:01.138Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-daily-sum-series-iqr-outlier-flags-066418d2"}