{"uid":"cap_c3NwGLtYWDIN9X_1Tn7MG","slug":"data-reconciliation-exact-row-deduplication-grouped-numeric-summary-eb43fe4d","name":"Data Reconciliation: Exact Row Deduplication + Grouped Numeric Summary","description":"Data reconciliation — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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-11-040?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_Jsu9QtflwFaO5-DGcVW6R","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":"Deduplicates rows exactly and produces grouped numeric summaries for source/target reconciliation data, up to 200 rows, returning 2 analytical reports per call.","exampleAgentPrompt":"I have a set of reconciliation records with source and target totals across two groups — can you deduplicate the exact rows and give me a grouped numeric summary of the source_total field? Here are up to 50 rows with row_id, date, dataset_group, source_total, and target_total.","exampleUseCases":[{"title":"Finance team ETL audit deduplication","prompt":"We ran our nightly ETL and I think there are duplicate rows in the reconciliation output — can you deduplicate these 120 records exactly and give me a grouped summary of source_total by dataset_group so I can spot discrepancies?"},{"title":"Source vs target variance by group","prompt":"Here are 80 reconciliation rows with source_total and target_total across three dataset groups. Can you remove any exact duplicate rows and summarize the target_total figures grouped by dataset_group so I can see where the variances are?"},{"title":"Daily reconciliation data cleanup","prompt":"I need to clean up today's reconciliation batch — it has 45 rows with dates from 2025-01-01 to 2025-01-15. Please deduplicate exact rows and give me a grouped numeric summary of source_total broken out by dataset_group."}],"resultDescription":"Returns two analytical reports: (1) an exact row-deduplication report removing fully duplicate rows from the submitted dataset, and (2) a grouped numeric summary aggregating the selected field (source_total or target_total) by dataset_group — all computed locally from the supplied data, with no external lookups or predictions.","failureModes":["Exceeds 200 row limit — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_total, or target_total) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minItems violation","Invalid field enum value (not source_total or target_total) — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and grouped numeric aggregation on reconciliation data (up to 200 rows) in a single low-cost call. Ideal for ETL audit workflows, finance reconciliation pipelines, or data quality checks where you want offline/local analysis without any external data lookups or ML-based predictions. At $0.01 USDC for two reports, it is cost-effective for frequent batch reconciliation tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:49.945Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-exact-row-deduplication-grouped-numeric-summary-eb43fe4d"}