{"uid":"cap_gZKh9WuXkS6fQCGzrUuiW","slug":"duplicate-observations-grouped-numeric-summary-trailing-mean-series-5bb906a2","name":"Duplicate Observations – Grouped Numeric Summary + Trailing Mean Series","description":"Duplicate observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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-04-090?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_qUohHFLHj9a4cLyWsdtIO","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":"Computes a grouped numeric summary and a trailing mean series for duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows using local analytical engines.","exampleAgentPrompt":"I have 150 duplicate-observation records with dataset_group, date, duplicate_rows, and total_rows columns — can you run a grouped numeric summary and a trailing mean series on the duplicate_rows field using a window of 5?","exampleUseCases":[{"title":"Data quality audit by group","prompt":"I've got a dataset with 80 rows tracking duplicate_rows and total_rows across groups like 'group-a' and 'group-b' — give me a grouped numeric summary so I can see which groups have the worst duplication problem."},{"title":"Duplicate trend smoothing over time","prompt":"Here are 120 date-stamped duplicate observation records. Compute a trailing mean series on the total_rows field with a window of 10 so I can see the smoothed trend over time."},{"title":"Combined data quality reporting","prompt":"Run both a grouped numeric summary and a trailing mean (window of 3) on duplicate_rows for my 60-row dataset — I need both reports together to present a data quality overview to my team."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary breaking down duplicate_rows and total_rows statistics by dataset_group, and (2) a trailing mean series for the selected field (duplicate_rows or total_rows) over the specified rolling window — both computed locally from the supplied rows, with no external data access.","failureModes":["Fewer than 1 row provided — returns validation error","More than 200 rows submitted — request rejected at schema boundary","Window size larger than number of rows — trailing mean may be undefined or partial for early rows","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation error","Non-numeric values in duplicate_rows or total_rows where numbers expected — type error"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (with duplicate_rows and total_rows columns, grouped by dataset_group and dated) and need both a grouped statistical breakdown AND a rolling mean trend in a single $0.01 call. Ideal for data quality monitoring workflows where you want group-level stats and smoothed time-series insights together without external API dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:32.613Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-grouped-numeric-summary-trailing-mean-series-5bb906a2"}