{"uid":"cap_dzBdCBcqr5eW0GGfKHOgl","slug":"export-validation-exact-row-deduplication-adjacent-row-changes-4981a893","name":"Export Validation — Exact Row Deduplication + Adjacent Row Changes","description":"Export validation — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes for supplied export validation records (valid_rows, exported_rows). 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-14-046?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_rows","exported_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"valid_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"exported_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","valid_rows":10,"dataset_group":"group-a","exported_rows":1},{"date":"2026-10-02","row_id":"row-2","valid_rows":20,"dataset_group":"group-b","exported_rows":2},{"date":"2026-10-03","row_id":"row-3","valid_rows":15,"dataset_group":"group-a","exported_rows":3},{"date":"2026-10-04","row_id":"row-4","valid_rows":30,"dataset_group":"group-b","exported_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_rows","exported_rows"],"type":"string","default":"valid_rows"}}},"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_NGvInXjsISKkwK5XAB7YA","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 export validation data: exact row deduplication detection and adjacent row change analysis, for up to 200 rows of valid_rows/exported_rows data.","exampleAgentPrompt":"Can you check this export validation dataset for exact duplicate rows and also flag adjacent row changes in the valid_rows field? I have up to 50 records with row_id, dataset_group, date, valid_rows, and exported_rows columns.","exampleUseCases":[{"title":"Export pipeline duplicate audit","prompt":"I need to audit my nightly export pipeline — can you scan these 120 export validation records for exact duplicate rows and show me which ones appear more than once? The data has row_id, dataset_group, date, valid_rows, and exported_rows. Use valid_rows as the target field."},{"title":"Spotting sudden count shifts between rows","prompt":"Can you run an adjacent row changes analysis on my export validation records to see where the exported_rows value jumps or drops between consecutive dates? I have about 80 rows grouped by dataset_group."},{"title":"Pre-delivery data integrity check","prompt":"Before I send this export file to the client, can you run both a deduplication check and an adjacent row change report on these 150 export validation rows? I want to catch any repeated records and flag any suspicious sequential changes in valid_rows."}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying rows with identical field values across the submitted records, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field (valid_rows or exported_rows). Both reports are computed locally against the submitted data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) causes row-level validation error","Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) causes schema rejection","Invalid field enum value (not 'valid_rows' or 'exported_rows') causes parameter error","Numeric values outside allowed range cause validation failure","Payment of 0.01 USDC not provided or declined results in 402 error"],"whenToPreferThis":"Choose this endpoint when you need two specific data quality checks — exact row deduplication and adjacent row change detection — on export validation records (valid_rows, exported_rows) in a single low-cost call. It is ideal for automated export pipeline QA, pre-delivery data integrity checks, or batch auditing of up to 200 rows at $0.01. Prefer it over general analytics APIs when your data is already structured with row_id, dataset_group, date, valid_rows, and exported_rows columns and you want fast local computation with no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:01.824Z","isFirstParty":false,"canonicalSlug":"export-validation-exact-row-deduplication-adjacent-row-changes-4981a893"}