{"uid":"cap__mUXvYrqDA2UqJ5cv-sKH","slug":"duplicate-observations-analytics-record-quality-audit-exact-row-858c0243","name":"Duplicate Observations Analytics: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes","description":"Duplicate observations — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-217?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_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_ErhnFbHRTake1Itl8u96I","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 duplicate-observation data: a record quality audit, exact row deduplication, and adjacent row change detection, for up to 200 rows of supplied data.","exampleAgentPrompt":"I have a batch of up to 200 duplicate-observation records, each with a row_id, dataset_group, date, duplicate_rows, and total_rows — can you run all three reports on them: the record quality audit, exact row deduplication, and adjacent row changes, focusing on the duplicate_rows field?","exampleUseCases":[{"title":"Data pipeline quality gate","prompt":"Before we load this batch of 150 duplicate-observation records into our warehouse, run a record quality audit, exact deduplication check, and adjacent row change analysis on the duplicate_rows field so I can flag any issues first."},{"title":"Weekly dataset group diff review","prompt":"I've got duplicate observation logs for dataset groups 'group-a' and 'group-b' from last week — 80 rows total. Run the three analytical reports focusing on duplicate_rows so I can see where counts shifted between consecutive rows."},{"title":"Audit total row counts for anomalies","prompt":"Can you audit these 60 duplicate observation records for quality issues, deduplicate any exact matches, and show me adjacent row changes, but this time analyze the total_rows field instead of duplicate_rows?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging issues like missing or out-of-range values, (2) an exact row deduplication report identifying and collapsing identical records, and (3) an adjacent row changes report highlighting differences between consecutive rows — all computed locally without external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncated results","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Payment not attached or insufficient USDC causes 402 response","Submitting an empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations on duplicate-observation records in a single cost-efficient call ($0.01 USDC): quality auditing, exact deduplication, and adjacent-row change detection. It is ideal for data engineering pipelines that track duplicate_rows and total_rows metrics across dataset groups and dates, where offline/local analysis (no external lookups or predictions) is acceptable for batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:33.898Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-record-quality-audit-exact-row-858c0243"}