{"uid":"cap_maL60J7jRST2d9mw5M_Wj","slug":"transformation-throughput-analytics-category-frequencies-trailing-5446dd71","name":"Transformation Throughput Analytics — Category Frequencies + Trailing Mean Series","description":"Transformation throughput — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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-13-103?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_Xi4-KLEJbXnl6n7_vT2jW","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 transformation throughput records (processed_rows, duration_seconds) to produce category frequency distributions by dataset group and a trailing moving-average time series for a chosen numeric field.","exampleAgentPrompt":"Analyze my ETL transformation logs — here are 150 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — give me the category frequency breakdown by dataset_group and a trailing mean series for processed_rows with a window of 7.","exampleUseCases":[{"title":"ETL pipeline throughput trend analysis","prompt":"I have 120 daily ETL run records with dataset_group, date, processed_rows, and duration_seconds. Can you compute the frequency of each dataset group and give me a trailing mean series for processed_rows using a window of 5?"},{"title":"Data team group contribution breakdown","prompt":"Here are 80 transformation throughput records across several dataset groups. Show me how often each group appears and a rolling average of duration_seconds with a window of 10 so I can spot slowdowns over time."},{"title":"Pipeline performance smoothing for reporting","prompt":"I need to report on our batch job performance — I have 200 rows of transformation data. Get me the category frequencies by dataset_group and a trailing mean for processed_rows with window size 14 to iron out daily spikes."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) a trailing moving-average series for the selected numeric field (processed_rows or duration_seconds) computed over the specified window size, covering up to 200 input rows.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Window size outside allowed range (2–200) — validation error","Numeric field values outside ±1,000,000,000,000 bounds","Payment not included or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have transformation throughput records with dataset_group categorical labels and numeric throughput metrics (processed_rows, duration_seconds) and need both a frequency distribution of categories AND a smoothed time series in a single $0.01 call. Prefer this over general analytics APIs when working specifically with ETL/pipeline throughput data and you want local analytical computation without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:56.404Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-trailing-5446dd71"}