{"uid":"cap_ipYBoBggjmTFt6xl9_oLg","slug":"pipeline-durations-analytics-numeric-distribution-date-by-category-54c71c89","name":"Pipeline Durations Analytics — Numeric Distribution + Date by Category Pivot","description":"Pipeline durations — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied pipeline durations records (run_seconds, processed_rows). 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-05-083?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","processed_rows"],"type":"string","default":"run_seconds"}}},"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_JH5nrPay4fZVZxDOJd2T8","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":"Generates two statistical reports (numeric distribution and date-by-category pivot) for pipeline duration data (run_seconds and processed_rows) supplied by the caller, for up to 200 rows.","exampleAgentPrompt":"Analyze my pipeline run data — here are up to 200 rows with row_id, dataset_group, date, run_seconds, and processed_rows. Give me a numeric distribution and a date-by-category pivot for the run_seconds field.","exampleUseCases":[{"title":"ETL pipeline performance audit","prompt":"I have 150 pipeline run records with fields row_id, dataset_group, date, run_seconds, and processed_rows. Can you give me the numeric distribution and date-by-category breakdown for run_seconds so I can see where our slowest runs cluster?"},{"title":"Processed row count distribution by group","prompt":"Here are my pipeline execution logs for the last quarter — 200 rows each with a row_id, dataset_group, date, and processed_rows count. Pivot them by date and category and show me the distribution of processed_rows."},{"title":"Daily pipeline throughput trend analysis","prompt":"Can you analyze these 80 pipeline run records and show me a numeric distribution plus a date-by-group pivot for the processed_rows field? I want to understand how throughput varies across our dataset_groups over time."}],"resultDescription":"Two analytical reports: (1) a numeric distribution report showing the statistical spread of the selected field (run_seconds or processed_rows), including bin/histogram-style breakdowns; and (2) a date-by-category pivot that cross-tabulates values by date and dataset_group. Both are computed locally on the supplied data with no external lookups.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field selector not one of 'run_seconds' or 'processed_rows' — enum validation error","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Empty rows array — minimum items violation"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with run_seconds and/or processed_rows metrics and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline, supplied-data analytics where no live lookup or external data fetch is needed and the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:35.672Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-numeric-distribution-date-by-category-54c71c89"}