{"uid":"cap_-aNCGN54u5CZ6BCZlBVY6","slug":"duplicate-observations-trailing-mean-series-two-measure-correlation-97c1c2b1","name":"Duplicate Observations — Trailing Mean Series + Two-Measure Correlation","description":"Duplicate observations — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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-04-150?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_7tDkb8MKEgrqtS9Ck-L4w","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 trailing mean time series and two-measure correlation for up to 200 duplicate-observation records, returning two analytical reports per call.","exampleAgentPrompt":"Run a trailing mean series and two-measure correlation on my duplicate observation data — I have 50 rows with date, dataset_group, duplicate_rows, and total_rows fields, using a window of 7 and analyzing the duplicate_rows field.","exampleUseCases":[{"title":"Data quality trend monitoring","prompt":"I have daily duplicate row counts across two dataset groups for the past 3 months, each row has a date, group name, duplicate_rows, and total_rows. Can you compute a trailing mean series with a window of 14 and also show me the correlation between duplicate_rows and total_rows?"},{"title":"Deduplication audit for ETL pipeline","prompt":"After running our ETL jobs last week, I've got 80 records with duplicate_rows and total_rows per day per group. Run a trailing mean with window 5 on duplicate_rows and give me the two-measure correlation report so I can see how duplication scales with dataset size."},{"title":"Comparing duplication rates across groups","prompt":"I need to statistically analyze 120 observations of duplicate and total row counts split across four dataset groups over the last quarter. Can you calculate the trailing mean series using a window of 10 and the correlation between duplicate_rows and total_rows for the whole dataset?"}],"resultDescription":"Returns two reports: (1) a trailing mean time series computed over the specified window for the chosen field (duplicate_rows or total_rows), and (2) a Pearson or similar two-measure correlation between duplicate_rows and total_rows across the supplied rows — all computed locally without external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Window size larger than number of rows — trailing mean may be undefined or partial","Missing required fields (row_id, date, duplicate_rows, total_rows) — validation error","Date strings not in YYYY-MM-DD format — schema validation failure","Null values in numeric fields may affect correlation computation","Non-numeric values passed for duplicate_rows or total_rows — rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (up to 200 rows) and need both a smoothed trailing mean time series and a correlation between duplicate_rows and total_rows in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline data quality analytics where no external data, predictions, or professional assessments are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:45.058Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-trailing-mean-series-two-measure-correlation-97c1c2b1"}