{"uid":"cap_RFTAAksPhvcj0AgP28jD4","slug":"duplicate-observations-analytics-record-quality-audit-exact-row-3c78f07c","name":"Duplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series","description":"Duplicate observations — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean 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-04-216?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_EctD-_W9AXkQqJ9Qe3mka","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 records: a record quality audit, exact row deduplication, and a trailing mean series for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication, and trailing mean series on my duplicate observation data? I have 4 rows across dataset groups 'group-a' and 'group-b' with dates from 2026-10-01 to 2026-10-04, duplicate_rows counts of 10, 20, 15, and 30, and total_rows of 1, 2, 3, and 4 — use duplicate_rows as the field and a window of 2.","exampleUseCases":[{"title":"Monthly dataset deduplication audit","prompt":"I have 50 rows of observation records for October, each with a dataset_group, date, duplicate_rows count, and total_rows — can you run a full record quality audit and exact deduplication report on them with a trailing mean window of 3 on the duplicate_rows field?"},{"title":"Rolling average for duplicate spike detection","prompt":"Run a trailing mean series report on my observation logs — I've got 30 daily records across two dataset groups and want to see the rolling mean of total_rows over a window of 5 to spot any spikes."},{"title":"Cross-group duplicate coverage comparison","prompt":"I want to compare duplicate coverage across my dataset groups — can you audit these 80 observation records for quality issues and deduplicate exact rows, using duplicate_rows as the analysis field?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging anomalies and data issues in the supplied rows, (2) an exact row deduplication report identifying and removing identical records, and (3) a trailing mean series computed over the chosen numeric field (duplicate_rows or total_rows) with the specified sliding window — all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Date values not matching YYYY-MM-DD format — parsing failure","Window size outside [2, 200] range — parameter rejection","Numeric fields outside allowed bounds (-1,000,000,000,000 to 1,000,000,000,000) — overflow error","Empty rows array — minimum 1 item required","Payment of 0.01 USDC not fulfilled — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three combined data-quality reports (audit, deduplication, and rolling mean) on duplicate-observation records in a single low-cost call. Ideal for pipelines that track duplicate_rows and total_rows over time per dataset group and need batch analytical summaries without any external API calls or live data lookups. Best suited for up to 200 rows of structured time-series observation data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:39.178Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-record-quality-audit-exact-row-3c78f07c"}