{"uid":"cap_toNx2A8cuDOiOe5NHiSH7","slug":"duplicate-observations-record-quality-audit-trailing-mean-series-f7b5fcd6","name":"Duplicate Observations — Record Quality Audit + Trailing Mean Series","description":"Duplicate observations — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series for supplied duplicate observations records (duplicate_rows, total_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-04-010?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_k2xenVmQIYeVN2Bfm2AG_","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":"Analyzes supplied duplicate-observation records to produce a record quality audit report and a trailing mean series for either duplicate_rows or total_rows, using local analytics on up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and trailing mean series on my duplicate observation data? I have rows with dataset_group, date, duplicate_rows, and total_rows fields — use a window of 3 and analyze the duplicate_rows field across up to 200 records.","exampleUseCases":[{"title":"Daily data pipeline duplicate monitoring","prompt":"I have daily records from two dataset groups showing duplicate_rows and total_rows for each day in October. Can you audit them for record quality and compute a 7-day trailing mean on the duplicate_rows field?"},{"title":"Cross-group duplicate anomaly review","prompt":"We track duplicates across groups 'prod' and 'staging' by date. Can you run a quality audit on these 50 rows and give me a trailing mean series with a window of 5 so I can spot anomalies?"},{"title":"Weekly data quality report generation","prompt":"For my weekly data quality review, can you take these duplicate observation records — about 150 rows across multiple dataset groups — and produce a record quality audit plus a rolling mean series on total_rows using a window of 4?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing duplicate observation patterns across the supplied rows, and (2) a trailing mean series computed over the selected field (duplicate_rows or total_rows) using the specified window size — all derived from locally supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — keep input within maxItems limit","Invalid date format (not YYYY-MM-DD) will fail schema validation","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Window size outside 2–200 range is rejected","Null numeric values may affect trailing mean computation accuracy","Sending zero rows (empty array) is rejected by minItems constraint"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows per date and dataset group) and need both a structural quality audit and a rolling/trailing mean series in a single call for up to 200 rows. Prefer it over general-purpose analytics when you want two bundled reports at low cost ($0.01 USDC) without needing live data lookup, external enrichment, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:23.403Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-record-quality-audit-trailing-mean-series-f7b5fcd6"}