{"uid":"cap_nZZHhwdIWJx7FWXCfLkGm","slug":"transformation-throughput-analytics-trailing-mean-series-two-measure-7f05ce3d","name":"Transformation Throughput Analytics — Trailing Mean Series + Two-Measure Correlation","description":"Transformation throughput — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-150?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_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_wpgmvaEWtkr7Dg_VwnPTM","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 moving average series and a Pearson/linear correlation between processed_rows and duration_seconds for supplied transformation throughput records, returning two analytical reports in one call.","exampleAgentPrompt":"Can you run a trailing mean series with a window of 7 and a two-measure correlation on my transformation throughput data — here are my records with processed_rows and duration_seconds for each date and dataset group?","exampleUseCases":[{"title":"ETL Pipeline Performance Trend Analysis","prompt":"I have 90 days of ETL job logs with processed_rows and duration_seconds per run — can you compute a trailing mean series with a window of 14 days on processed_rows and also tell me how correlated row count is with duration across all those runs?"},{"title":"Data Team Weekly Throughput Review","prompt":"We track our daily transformation jobs by dataset_group and want to smooth out the noise — run a 5-period trailing mean on duration_seconds and give me the correlation between duration and processed_rows for the last month of records."},{"title":"Detecting Processing Bottlenecks","prompt":"I suspect our slowdowns are tied to row volume — can you analyze these 150 pipeline execution records and give me both the rolling average of processed_rows with a window of 10 and the correlation between processed_rows and duration_seconds?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series over the specified window for the chosen field (processed_rows or duration_seconds), with a smoothed value per row in date order; and (2) a two-measure correlation statistic (e.g. Pearson r) between processed_rows and duration_seconds across the supplied dataset. Up to 200 rows supported per call.","failureModes":["Fewer than 2 rows supplied — minimum 1 row required but correlation requires at least 2 valid data points","window parameter exceeds number of rows — trailing mean series may return nulls for early rows","processed_rows or duration_seconds contains null values — correlation may be computed on reduced sample","date field does not match YYYY-MM-DD pattern — validation error returned","More than 200 rows submitted — request rejected with maxItems exceeded error","Both measures have zero variance — correlation undefined or NaN returned"],"whenToPreferThis":"Choose this endpoint when you have transformation pipeline records with processed_rows and duration_seconds fields and need both a smoothed time series trend (trailing mean) and a linear correlation between the two numeric measures in a single API call at low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you want a cheap, self-contained statistical summary without external data lookup or prediction. It is ideal for offline/batch analytical review of ETL or data processing logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:22.403Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-trailing-mean-series-two-measure-7f05ce3d"}