{"uid":"cap__KkJq5pqwunchnrHckwm4","slug":"transformation-throughput-analytics-trailing-mean-series-date-by-9ba9d760","name":"Transformation Throughput Analytics: Trailing Mean Series + Date-by-Category Pivot","description":"Transformation throughput — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-13-152?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_pjltDIuy3NEM8J-bPleLZ","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 a date-by-category pivot table for transformation throughput records (processed_rows, duration_seconds) over up to 200 rows.","exampleAgentPrompt":"Can you compute a trailing mean series with a window of 3 for the processed_rows field, and also pivot those throughput records by date and dataset_group? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 processed_rows and 1 duration_second, row-2 on 2026-10-02 for group-b with 20 and 2, row-3 on 2026-10-03 for group-a with 15 and 3, row-4 on 2026-10-04 for group-b with 30 and 4.","exampleUseCases":[{"title":"ETL pipeline throughput trend smoothing","prompt":"I have daily ETL job logs with processed_rows counts across two groups — group-a and group-b — for the past week. Can you run a trailing mean series with window size 4 on the processed_rows field and also give me a date-by-category pivot so I can see how each group performed each day?"},{"title":"Pipeline duration anomaly investigation","prompt":"My data pipeline has been running slow lately. I have 50 rows of transformation records with duration_seconds and processed_rows per dataset group across October. Can you calculate a rolling mean with window 5 on duration_seconds and pivot the data by date and group so I can spot which category is the bottleneck?"},{"title":"Weekly throughput reporting for data team","prompt":"I need a weekly summary report for my data team. I have transformation throughput records for 200 rows spanning three groups — alpha, beta, gamma — over the last month. Please compute the trailing mean series (window of 7) for processed_rows and produce a date-by-group pivot table so we can review performance trends."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time-series for the selected field (processed_rows or duration_seconds) computed with the specified window size, and (2) a pivot table cross-tabulating dates against dataset_group categories with aggregated values — both derived purely from the supplied rows with no external data.","failureModes":["Fewer than 1 row supplied — validation error","window size larger than the number of supplied rows — trailing mean may return nulls or partial results","Invalid date format (not YYYY-MM-DD) — schema validation failure","processed_rows or duration_seconds outside allowed numeric range — validation error","More than 200 rows supplied — rejected at maxItems limit","Missing required fields row_id, dataset_group, date — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have local transformation throughput records (processed_rows, duration_seconds) and need both a rolling/trailing mean time-series and a date-by-category pivot in a single low-cost call. Ideal for data engineers and analysts who want offline analytical summaries of ETL or pipeline performance data without sending data to a heavyweight analytics platform. Best when data is already collected and you need two standard statistical views simultaneously for up to 200 rows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:51.064Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-trailing-mean-series-date-by-9ba9d760"}