{"uid":"cap_81rl1a0UnIplyF4jZkJHI","slug":"data-reconciliation-record-quality-audit-exact-row-deduplication-c41def7d","name":"Data Reconciliation: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes","description":"Data reconciliation — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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-11-217?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_Ekou-xtnAFOXEk8epirJv","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 local analytical reports on reconciliation row data (source_total vs target_total): a record quality audit, exact row deduplication check, and adjacent row change detection, for up to 200 rows.","exampleAgentPrompt":"Audit my reconciliation data for quality issues, exact duplicate rows, and adjacent row changes — here are my rows: row-1 on 2026-10-01 in group-a has source_total 10 and target_total 1, row-2 on 2026-10-02 in group-b has source_total 20 and target_total 2, and row-3 on 2026-10-03 in group-a has source_total 15 and target_total 3; analyze the source_total field.","exampleUseCases":[{"title":"Daily finance reconciliation sanity check","prompt":"I have 50 rows of daily finance reconciliation data with source_total and target_total amounts by group — can you run a record quality audit, find any exact duplicate rows, and show me what changed between adjacent rows? Use the source_total field for analysis."},{"title":"ETL pipeline output validation","prompt":"After our nightly ETL run I have a batch of up to 150 reconciliation records in groups like 'warehouse' and 'staging', each with a date, source_total, and target_total — please audit them for quality, deduplicate exact matches, and flag adjacent row changes on the target_total field."},{"title":"Detect duplicate entries before reporting","prompt":"Before I generate our monthly report, can you check these 80 reconciliation rows — grouped by region and dated through last month — for any quality problems, exact duplicates, and what shifted between consecutive rows? Analyze against source_total."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, formatting issues, and field completeness; (2) an exact row deduplication report identifying identical records; and (3) an adjacent row changes report showing value differences between consecutive rows — all computed locally without external lookups.","failureModes":["Exceeding 200 rows causes request rejection","Missing required fields (row_id, dataset_group, date, source_total, target_total) per row triggers validation error","Invalid date format (non-YYYY-MM-DD) causes schema rejection","Values outside ±1,000,000,000,000 range rejected by schema","Payment failure (insufficient USDC) prevents processing"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous reconciliation-focused analytical reports — quality audit, deduplication, and adjacent-change detection — on a small-to-medium dataset (up to 200 rows) of source/target total pairs, without needing external data lookups, predictions, or live enrichment. It is especially useful as a lightweight, low-cost ($0.01 USDC) batch validation step in ETL pipelines or financial reconciliation workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:48.548Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-exact-row-deduplication-c41def7d"}