{"uid":"cap_GEB-9AxNewDnITq2t4fC6","slug":"data-reconciliation-numeric-interval-filter-iqr-outlier-flags-11f2d751","name":"Data Reconciliation — Numeric Interval Filter + IQR Outlier Flags","description":"Data reconciliation — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-11-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_NOw4nv79bHsdfJiAwSWMO","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":"Filters data reconciliation rows by a numeric interval and flags IQR-based outliers across source_total and target_total fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Run the IQR outlier flagging and interval filter on my reconciliation data — I have rows with source_total and target_total values for groups A and B across October 2026, filter for source_total between 0 and 100, and flag any IQR outliers.","exampleUseCases":[{"title":"ETL pipeline source-target discrepancy check","prompt":"I have 150 reconciliation rows from our ETL pipeline with source_total and target_total figures for October 2026 across two dataset groups. Filter source_total between 0 and 500 and flag any IQR outliers so I can see which rows are anomalous."},{"title":"Monthly finance data quality review","prompt":"Can you run IQR outlier detection on my monthly finance reconciliation records? I've got source_total and target_total per row for November 2025 — filter target_total between -1000 and 50000 and tell me which rows are statistical outliers."},{"title":"Data migration validation outlier scan","prompt":"We just migrated data and I need to validate the reconciliation records — about 80 rows, each with a row_id, date, group, source_total and target_total. Filter source_total from 10 to 200 and flag any IQR outliers in the source_total column."}],"resultDescription":"Returns two analytical reports: one showing which rows fall within the specified numeric interval for the chosen field, and one flagging rows whose values are IQR-based outliers. Each report covers up to 200 input reconciliation rows identified by row_id, dataset_group, and date.","failureModes":["Input array exceeds 200 rows — request rejected","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","Minimum greater than maximum — invalid interval, undefined filter behavior","Numeric values outside ±1,000,000,000,000 — schema rejection","Empty rows array — minItems:1 violation"],"whenToPreferThis":"Choose this endpoint when you need both interval-based filtering AND IQR outlier flagging on data reconciliation records (source_total vs target_total) in a single low-cost call. It is purpose-built for reconciliation data with paired source/target totals, grouped by dataset_group and date, and returns two independent analytical reports at once for $0.01 USDC per call for up to 200 rows. Prefer alternatives if you need external data lookup, time-series forecasting, or reconciliation logic beyond interval filtering and IQR statistics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:58.549Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-interval-filter-iqr-outlier-flags-11f2d751"}