{"uid":"cap_xOV1C_Bt6uY6I1sh23pxZ","slug":"data-reconciliation-record-quality-audit-exact-row-deduplication-iqr-dd414453","name":"Data Reconciliation — Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags","description":"Data reconciliation — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-220?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_V501hYo2xKdsa1QC2Ytxk","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 three local analytical reports on supplied reconciliation data: a record quality audit, exact row deduplication, and IQR-based outlier flagging — up to 200 rows per call.","exampleAgentPrompt":"Can you run a full data quality check on these 50 reconciliation rows — I need a record quality audit, exact duplicate detection, and IQR outlier flags on the source_total field? Here's my data with row_id, date, dataset_group, source_total, and target_total.","exampleUseCases":[{"title":"Pre-load reconciliation data quality check","prompt":"Before I load this month's reconciliation data into the warehouse, can you audit it for quality issues, flag any exact duplicate rows, and identify IQR outliers in source_total? I have about 120 rows with row_id, date, dataset_group, source_total, and target_total."},{"title":"Detecting anomalous totals across dataset groups","prompt":"I have 80 rows of source vs target reconciliation records across two dataset groups — can you flag any rows where target_total looks like a statistical outlier using IQR, and also check for duplicates and record quality issues?"},{"title":"Daily reconciliation pipeline sanity check","prompt":"Every day I get up to 200 reconciliation rows from our finance system — can you run the three-part quality check on today's batch: record quality audit, exact deduplication, and IQR outlier detection on source_total?"}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit summarizing completeness and field-level issues, (2) an exact row deduplication report identifying identical records, and (3) IQR outlier flags marking rows where the selected numeric field (source_total or target_total) falls outside the interquartile range. All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum of 1 row required","More than 200 rows submitted — exceeds the per-call row limit","Missing required fields (row_id, date, dataset_group, source_total, target_total) — will cause validation error","Date field not in YYYY-MM-DD format — schema pattern validation failure","Numeric values outside ±1,000,000,000,000 — schema range violation","IQR computation may be unreliable with very few rows (e.g. fewer than 5)"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of source/target reconciliation data and need three simultaneous data quality reports — quality audit, deduplication, and outlier detection — in a single low-cost call. It is purely local and analytical (no external API calls, no ML prediction, no professional assessment), making it ideal for lightweight pipeline sanity checks, pre-load validation, or daily reconciliation audits where speed and low cost matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:50.612Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-exact-row-deduplication-iqr-dd414453"}