{"uid":"cap_BJYZd1Sh4dvDocNvYdQv3","slug":"transformation-throughput-category-frequencies-date-by-category-pivot-841bf405","name":"Transformation Throughput — Category Frequencies + Date by Category Pivot","description":"Transformation throughput — Category frequencies + Date by category pivot: Category frequencies + 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-13-110?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"}}},"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_jFkERu3XX8hzd3etWlKUn","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 category frequency counts and a date-by-category pivot table for transformation throughput records (processed_rows, duration_seconds) — two analytical reports in one call for up to 200 rows.","exampleAgentPrompt":"Can you analyze my ETL throughput records and give me both a category frequency breakdown by dataset_group and a date-by-category pivot for the processed_rows field? Here are up to 200 rows with row_id, dataset_group, date, processed_rows, and duration_seconds.","exampleUseCases":[{"title":"Pipeline group distribution analysis","prompt":"I have logs from our data pipeline — each row has a row_id, dataset_group, date, processed_rows, and duration_seconds. Can you tell me how frequently each dataset_group appears and give me a pivot table of processed_rows broken down by date and group?"},{"title":"ETL duration audit by category","prompt":"Here are 150 transformation job records with dataset_group, date, and duration_seconds. Give me a frequency count of how often each group runs and a pivot of duration_seconds by date and category so I can spot which groups are running most on which days."},{"title":"Daily throughput summary for reporting","prompt":"I need a quick report on our transformation throughput — I've got records with dataset_group, date, and processed_rows. Can you generate the category frequencies and a date-by-category pivot table for the processed_rows field so I can paste it into our weekly ops report?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how many times each dataset_group appears in the supplied rows, and (2) a date-by-category pivot table showing the selected field (processed_rows or duration_seconds) aggregated across each date and dataset_group combination. All computed locally from supplied data with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) cause validation errors","Exceeding 200 rows returns an error or truncation","Invalid date format (must match YYYY-MM-DD) causes rejection","Null values in the selected numeric field may be excluded or flagged in aggregation","Supplying fewer than 1 row returns an error"],"whenToPreferThis":"Choose this endpoint when you need two standard descriptive analytics reports — category frequency counts and a date-by-category pivot — on transformation throughput data (processed_rows or duration_seconds) in a single low-cost call. Ideal for pipeline monitoring dashboards, ETL audit workflows, or weekly ops reporting where you have up to 200 structured records and want fast, locally-computed summaries without any external dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:30.587Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-category-frequencies-date-by-category-pivot-841bf405"}