{"uid":"cap_UjtFrsqIDsQZNtj1fM5u2","slug":"duplicate-observations-analytics-quality-audit-deduplication-daily-d5b74b56","name":"Duplicate Observations Analytics — Quality Audit, Deduplication & Daily Sum Series","description":"Duplicate observations — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-04-215?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_heXcQZdA_2N14_O30-So2","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 duplicate-observation data: a record quality audit, exact row deduplication, and a daily sum time series, processing up to 200 rows per call.","exampleAgentPrompt":"Can you run the three-report duplicate observation analytics on my dataset — quality audit, exact deduplication, and daily sum series — for these rows across group-a and group-b from October 2026, analyzing the duplicate_rows field?","exampleUseCases":[{"title":"Data pipeline deduplication audit","prompt":"I have a batch of 50 observation records from our ETL pipeline with dataset_group 'sales-feed' and dates ranging from 2025-01-01 to 2025-02-19. Can you run the quality audit, exact row deduplication, and daily sum series on the duplicate_rows field so I can see where our pipeline is producing duplicates?"},{"title":"Daily duplicate trend reporting","prompt":"I want to track how duplicate_rows counts are trending day by day across 'region-east' and 'region-west' dataset groups for Q1 2025. Can you run the daily sum series plus the quality audit on my 120 observation records using the duplicate_rows field?"},{"title":"Record quality check before data ingestion","prompt":"Before I ingest these 80 observation records into our warehouse, can you run a full quality audit and exact deduplication check on the total_rows field to flag any bad or repeated rows across the 'inventory-sync' dataset group?"}],"resultDescription":"Returns three independent analytical reports computed locally from the supplied rows: (1) a record quality audit flagging anomalies and data issues, (2) an exact row deduplication report identifying and collapsing duplicate records, and (3) a daily sum time series aggregating the selected field (duplicate_rows or total_rows) by date. All reports are based solely on the provided data with no external lookups.","failureModes":["Exceeding 200 rows in the input array returns a validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Supplying zero rows returns a minItems validation error","Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') causes an error"],"whenToPreferThis":"Choose this endpoint when you need all three analytical perspectives — quality audit, deduplication, and daily aggregation — on duplicate observation data in a single low-cost call. It is ideal for data engineers validating ETL outputs, analysts checking time-series consistency, or automated pipelines that need a quick, offline batch report on up to 200 rows without requiring external lookups or live data connections. At $0.01 USDC for three reports, it is cost-effective compared to calling three separate services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:15:55.926Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-quality-audit-deduplication-daily-d5b74b56"}