{"uid":"cap_zaJpOwZv46ojIsjqpJYPz","slug":"data-reconciliation-record-quality-audit-grouped-numeric-summary-cb4a1b51","name":"Data Reconciliation — Record Quality Audit + Grouped Numeric Summary","description":"Data reconciliation — Record quality audit + Grouped numeric summary: Record quality audit + 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-11-005?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_X5ehJQI3M6Vcs5tBJVcPz","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 up to 200 data reconciliation rows: a record quality audit and a grouped numeric summary for source_total and target_total fields.","exampleAgentPrompt":"Can you run both a record quality audit and a grouped numeric summary on these 150 reconciliation rows I'm uploading — each row has a row_id, dataset_group, date, source_total, and target_total — and use source_total as the primary field for the summary?","exampleUseCases":[{"title":"Monthly finance reconciliation audit","prompt":"I have 120 rows from our monthly finance reconciliation — each with a row_id, date, dataset_group, source_total, and target_total. Can you run a record quality audit and a grouped numeric summary on them using source_total as the field, so I can spot data issues before we close the books?"},{"title":"ETL pipeline output validation","prompt":"After running our ETL pipeline, I have 80 reconciliation records with source and target totals split across groups like 'warehouse' and 'crm'. Can you audit the record quality and give me a grouped numeric summary using target_total so I can confirm the output is clean?"},{"title":"Cross-system data discrepancy review","prompt":"We're comparing data between two systems and I have 200 reconciliation rows with dataset_group, date, source_total, and target_total. Please run both the record quality audit and the grouped numeric summary on source_total so I can see where the discrepancies are concentrated by group."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, format errors, or anomalies across the supplied rows; and (2) a grouped numeric summary aggregating the chosen field (source_total or target_total) by dataset_group. Both reports are generated from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error returned","Date field not in YYYY-MM-DD format — schema validation failure","Numeric values outside the ±1,000,000,000,000 range — schema rejection","Empty rows array — minimum items constraint violated","Invalid field enum value (not source_total or target_total) — schema error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a grouped numeric summary in a single low-cost call ($0.01 USDC) on a batch of up to 200 reconciliation rows with source and target totals. It is ideal for ETL validation, finance reconciliation checks, and cross-system comparison workflows where no external data lookup or prediction is needed — only local analytical processing of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:21.044Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-grouped-numeric-summary-cb4a1b51"}