{"uid":"cap_Y1c6h1xkZf-G3xbdWc4ac","slug":"transformation-throughput-analytics-numeric-distribution-daily-sum-8732b75a","name":"Transformation Throughput Analytics — Numeric Distribution + Daily Sum Series","description":"Transformation throughput — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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-13-075?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_NC4K-d_e8eiM5apB6gnkq","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 numeric distribution report and a daily sum time series for transformation throughput metrics (processed_rows, duration_seconds) from up to 200 supplied records, using local analytical engines with no external lookups.","exampleAgentPrompt":"Can you analyze the distribution and daily totals for my transformation throughput data? I have records with processed_rows and duration_seconds across groups like 'group-a' and 'group-b' from October 2026 — run both the numeric distribution and daily sum series reports on processed_rows for up to 200 rows.","exampleUseCases":[{"title":"ETL pipeline throughput audit","prompt":"I have daily ETL job logs with processed_rows and duration_seconds for two dataset groups, 'raw_ingestion' and 'cleaned_output', from 2025-01-01 to 2025-01-31. Can you compute the numeric distribution and daily sum series for processed_rows across all 90 records so I can see how throughput varied?"},{"title":"Pipeline duration bottleneck analysis","prompt":"I want to understand how long my transformation jobs are taking — I have 150 records with row_id, date, dataset_group, and duration_seconds. Can you run the numeric distribution and daily sum series on duration_seconds so I can spot which days had unusually high total processing time?"},{"title":"Multi-group daily throughput comparison","prompt":"I've got transformation throughput logs for three dataset groups — 'billing', 'inventory', and 'analytics' — covering about 180 rows from last quarter. Can you compute the daily sum series and numeric distribution for processed_rows so I can compare throughput patterns across groups?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected metric (processed_rows or duration_seconds) showing frequency, spread, and statistical shape across the supplied rows, and (2) a daily sum time series aggregating the selected metric by date — both computed locally from the supplied data without any external lookup.","failureModes":["Exceeding 200 rows results in rejection — trim input to 200 records","Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Null values in the selected metric field may reduce the usable sample size for distribution","Field selector must be exactly 'processed_rows' or 'duration_seconds' — other values are rejected"],"whenToPreferThis":"Choose this endpoint when you have raw transformation throughput records (processed_rows or duration_seconds) and need both a statistical distribution and a daily aggregate time series in a single low-cost call. It is ideal for data engineering teams auditing ETL pipeline performance, identifying throughput outliers, or reviewing daily processing trends — all from locally supplied data without needing live data connections or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:47.885Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-distribution-daily-sum-8732b75a"}