{"uid":"cap_ExKj44grqColrYR1mO21T","slug":"data-reconciliation-record-quality-audit-exact-row-deduplication-a4faa92d","name":"Data Reconciliation — Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Data reconciliation — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-210?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_HY0yDKpUAafm2s1rLMpaZ","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 three analytical reports on supplied reconciliation data: a record quality audit, exact row deduplication, and numeric distribution analysis for source_total and target_total fields.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and numeric distribution analysis on my reconciliation data? Here are up to 200 rows with row_id, dataset_group, date, source_total, and target_total — I want to analyze the source_total field.","exampleUseCases":[{"title":"Financial reconciliation data audit","prompt":"I have a set of daily reconciliation rows comparing source and target account balances across two groups — run a record quality audit, find any exact duplicate rows, and give me the numeric distribution for source_total across all 150 rows."},{"title":"ETL pipeline output validation","prompt":"After my ETL run, I need to validate the output: check record quality, deduplicate any exact row matches, and show me the numeric distribution of target_total for these 80 reconciliation records grouped by pipeline stage."},{"title":"Month-end close data integrity check","prompt":"Before I sign off on the month-end close, can you audit these 200 reconciliation rows for data quality issues, flag any exact duplicates, and produce a numeric distribution report on the source_total values?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging nulls, format issues, and completeness problems per row; (2) an exact row deduplication report identifying identical rows; (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected field (source_total or target_total). All computed locally from supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) causes row-level rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array is not accepted (minItems: 1)","Payment not included or insufficient USDC results in 402 error"],"whenToPreferThis":"Choose this endpoint when you need three reconciliation-specific analytical reports in a single call at low cost ($0.01 USDC): quality audit, exact deduplication, and numeric distribution. It is ideal for batch data quality checks on up to 200 source/target reconciliation rows without requiring external data access, predictions, or professional assessment. Prefer this over general-purpose analytics when your data is structured as source_total vs target_total reconciliation records with row identifiers and group labels.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:45.000Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-exact-row-deduplication-a4faa92d"}