{"uid":"cap_JV8Dm33tD0BryXxuvw8D8","slug":"data-reconciliation-grouped-numeric-summary-keyed-dataset-comparison-7ab5bbc7","name":"Data Reconciliation — Grouped Numeric Summary + Keyed Dataset Comparison","description":"Data reconciliation — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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-11-098?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":17,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":33,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_PdGVOJwr9XDFc5my1Yqjg","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 two analytical reports on supplied reconciliation data: a grouped numeric summary (aggregated stats by dataset_group) and a keyed row-by-row comparison between two datasets (source_total vs target_total), for up to 200 rows.","exampleAgentPrompt":"Can you reconcile these two datasets for me? I have a primary set and a comparison set, each with rows tagged by row_id, dataset_group, and date, along with source_total and target_total values — run both the grouped numeric summary and the keyed comparison on source_total so I can see where the numbers diverge.","exampleUseCases":[{"title":"Monthly financial close reconciliation","prompt":"I need to reconcile our ledger exports for October 2026 — I have two datasets each with up to 150 rows, each row has a row_id, dataset_group like 'revenue' or 'expenses', a date, and source_total and target_total amounts. Please run the grouped numeric summary and the keyed dataset comparison on source_total so I can spot any mismatches before we close the books."},{"title":"ETL pipeline output validation","prompt":"Our ETL pipeline produces a source dataset and a target dataset daily — can you compare them row by row using row_id as the key, grouped by pipeline_stage, and give me a summary of where source_total and target_total diverge? I'll send both datasets, each under 200 rows."},{"title":"Vendor invoice vs internal records audit","prompt":"I want to audit vendor invoices against our internal records — I have two sets of rows each identified by invoice_id as the row_id, grouped by vendor_name as the dataset_group, with dated source_total and target_total figures. Run the grouped numeric summary and the keyed comparison on target_total so I can see which vendors have discrepancies."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary aggregating source_total and target_total statistics by dataset_group, and (2) a keyed dataset comparison that matches rows between the primary and secondary datasets by row_id, highlighting differences in the selected field. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Empty rows array (minItems: 1 not met) — validation error","row_id values not matchable between primary and comparison datasets — keyed comparison returns no matches"],"whenToPreferThis":"Choose this endpoint when you need both a grouped aggregate summary and a side-by-side row-keyed comparison of two reconciliation datasets in a single API call. It is ideal for ETL validation, financial close reconciliation, and audit workflows where you already have structured data with row_id, dataset_group, date, source_total, and target_total fields. At $0.01 USDC for two reports on up to 200 rows, it is highly cost-effective for batch reconciliation tasks that don't require live data lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:06.610Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-grouped-numeric-summary-keyed-dataset-comparison-7ab5bbc7"}