{"uid":"cap_92X_wCMqCgM6CK2vqt-W7","slug":"data-reconciliation-record-quality-audit-exact-row-deduplication-b5342d98","name":"Data Reconciliation — Record Quality Audit + Exact Row Deduplication","description":"Data reconciliation — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-11-002?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}}},"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_km7SpBLmBLgA9lNvLCl2J","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 local analytical reports on up to 200 reconciliation rows: a record quality audit and exact row deduplication, comparing source_total vs target_total figures.","exampleAgentPrompt":"Run a record quality audit and exact row deduplication on my reconciliation data — I have rows with row_id, dataset_group, date, source_total, and target_total fields; here are the rows: [{\"row_id\":\"row-1\",\"dataset_group\":\"sales\",\"date\":\"2024-01-15\",\"source_total\":5000,\"target_total\":5000},{\"row_id\":\"row-2\",\"dataset_group\":\"sales\",\"date\":\"2024-01-16\",\"source_total\":3200,\"target_total\":3150}].","exampleUseCases":[{"title":"Month-end reconciliation quality check","prompt":"I need to audit my month-end reconciliation records for quality issues and duplicates — here are 50 rows with row_id, dataset_group, date, source_total, and target_total. Can you run both a record quality audit and exact row deduplication on them?"},{"title":"ETL pipeline deduplication validation","prompt":"After my ETL run I suspect some duplicate rows crept into the reconciliation output. Can you run an exact row deduplication report on these records so I can see which rows are repeated? Here are the rows with row_id, date, dataset_group, source_total, and target_total."},{"title":"Cross-system data integrity audit","prompt":"I'm comparing data from two systems — source_total from our ERP and target_total from our data warehouse. Can you audit these reconciliation rows for record quality problems and flag any exact duplicates? I have about 80 rows across three dataset groups."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, mismatches, or anomalies in source_total vs target_total fields, and (2) an exact row deduplication report identifying identical rows within the supplied dataset. Both reports are generated locally from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, source_total, or target_total) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","source_total or target_total outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Empty rows array (minItems:1 not satisfied) — request rejected","Payment not completed via x402 — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both a quality audit and exact deduplication on a reconciliation dataset (up to 200 rows) in a single $0.01 call. It is ideal for data engineers validating ETL outputs, finance teams checking month-end reconciliation files, or any workflow where source_total vs target_total discrepancies and duplicate rows must be identified without making any external API calls or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:56.195Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-exact-row-deduplication-b5342d98"}