{"uid":"cap_2zzvtGRSXMSy8Ucshs_1s","slug":"data-reconciliation-exact-row-deduplication-date-by-category-pivot-0d2890b7","name":"Data Reconciliation: Exact Row Deduplication + Date by Category Pivot","description":"Data reconciliation — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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-11-052?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_YlnqRTCa0ZGxWnXlsHX0j","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 exact duplicate rows and produces a date-by-category pivot report from supplied data reconciliation records (source_total vs target_total) — up to 200 rows, 2 reports per call.","exampleAgentPrompt":"Can you deduplicate these reconciliation rows and pivot the source_total values by date and category group? I have about 50 rows each with a row_id, dataset_group, date, source_total, and target_total.","exampleUseCases":[{"title":"ETL pipeline reconciliation cleanup","prompt":"I have 120 reconciliation records from my ETL pipeline with row_id, dataset_group, date, source_total, and target_total — can you remove exact duplicate rows and give me a pivot of source_total values broken down by date and category?"},{"title":"Finance team source vs target audit","prompt":"Our finance team exported 80 rows comparing source and target totals across two dataset groups. Can you deduplicate the exact duplicates and generate a date-by-category pivot on the target_total field so we can spot discrepancies?"},{"title":"Data quality check before monthly report","prompt":"Before I finalize the monthly report, run deduplication and a date-by-category pivot on these 60 reconciliation records — fields are row_id, dataset_group, date, source_total, and target_total — and use source_total for the pivot."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing identical rows from the supplied reconciliation dataset, and (2) a date-by-category pivot table aggregating the selected field (source_total or target_total) across dataset groups and dates. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range cause validation failure","Empty rows array (minItems: 1 not met) returns error","Invalid field enum value (not 'source_total' or 'target_total') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication AND a date-by-category pivot in a single low-cost call ($0.01 USDC) on up to 200 reconciliation records with source_total and target_total fields. Prefer it over generic analytics tools when your data is already structured as reconciliation records with dataset_group and date dimensions, and you want deterministic, locally computed results with no external data access or predictions.","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-exact-row-deduplication-date-by-category-pivot-0d2890b7"}