{"uid":"cap_hjZq1xAXgQ03WKhhVtiSv","slug":"transformation-throughput-analytics-numeric-distribution-category-abbcae64","name":"Transformation Throughput Analytics — Numeric Distribution & Category Frequencies","description":"Transformation throughput — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-13-072?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_u1WbVWIk7kUZ5uOUikUl6","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 numeric distribution statistics and category frequency counts for transformation throughput records (processed_rows and duration_seconds) across up to 200 rows.","exampleAgentPrompt":"Can you analyze the distribution of processed_rows and the frequency of each dataset_group in my transformation throughput data? I have records for group-a and group-b across October 2026, with processed_rows ranging from 10 to 30 and duration_seconds from 1 to 4.","exampleUseCases":[{"title":"ETL pipeline throughput distribution audit","prompt":"I have logs from our nightly ETL jobs — can you compute the numeric distribution of processed_rows and show how often each dataset_group appears in the data? Here are the records: row-1 on 2026-10-01, group-a, 50000 rows, 120 seconds; row-2 on 2026-10-02, group-b, 75000 rows, 180 seconds; row-3 on 2026-10-03, group-a, 60000 rows, 150 seconds."},{"title":"Pipeline duration spread analysis","prompt":"Can you run a numeric distribution on the duration_seconds field across my transformation throughput records? I want to see the spread and also how frequently each dataset_group shows up. I'll pass in about 50 rows covering the last month of runs."},{"title":"Dataset group frequency reporting","prompt":"For my transformation pipeline audit, I need two reports: a numeric distribution of processed_rows and a category frequency count of dataset_group across these 200 throughput records from Q4 2026 — can you run both and tell me what you find?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (processed_rows or duration_seconds), including statistics like min, max, mean, percentiles, and histogram bins; and (2) category frequency counts for the dataset_group field, showing how often each group appears in the supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors","More than 200 rows submitted — request is rejected with a row limit error","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Null values in processed_rows or duration_seconds may affect distribution statistics","Invalid field enum value (not 'processed_rows' or 'duration_seconds') causes a field selection error"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of transformation throughput records — specifically numeric distribution and category frequency — without any external API calls, predictions, or live data lookups. Best suited for ETL pipeline analytics, batch job auditing, and data engineering observability tasks where you have structured throughput logs with processed_rows and duration_seconds fields. Prefer this over general-purpose analytics tools when you want a lightweight, pay-per-call solution with deterministic local computation on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:27.500Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-distribution-category-abbcae64"}