{"uid":"cap_kExM6ow4OMvlQG04_DM_0","slug":"pipeline-durations-date-by-category-pivot-keyed-dataset-comparison-22b7c9ef","name":"Pipeline Durations — Date-by-Category Pivot + Keyed Dataset Comparison","description":"Pipeline durations — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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-05-188?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_seconds","processed_rows"],"type":"string","default":"run_seconds"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":17,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":33,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":0}}},"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_FM1b457Eh6JdLj-5j8CUI","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 analytical reports from pipeline duration records: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows each.","exampleAgentPrompt":"I have two sets of pipeline run records — each with row_id, dataset_group, date, run_seconds, and processed_rows — and I want a date-by-category pivot table on run_seconds plus a side-by-side comparison between the two datasets, up to 200 rows each. Can you run both reports at once?","exampleUseCases":[{"title":"Daily ETL performance pivot by team","prompt":"Here are our ETL job records for October with fields row_id, dataset_group, date, run_seconds, and processed_rows — pivot them by date and dataset_group so I can see how run_seconds varied each day per team, for all 150 rows."},{"title":"Before-and-after pipeline optimization comparison","prompt":"I have two batches of pipeline records — one from before our infrastructure upgrade and one after, both with the same row_id keys — can you compare run_seconds between the two datasets so I can see where performance improved or regressed?"},{"title":"Processed rows throughput analysis by category","prompt":"Take these 180 pipeline run records and give me a date-by-category pivot plus a keyed comparison against last month's runs, but analyze processed_rows instead of run_seconds this time."}],"resultDescription":"Two independent analytical reports: (1) a date-by-category pivot table showing the selected metric (run_seconds or processed_rows) broken down by date and dataset_group, and (2) a keyed dataset comparison highlighting differences between the primary and secondary supplied datasets, row by row using shared row_id keys.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values out of allowed range — validation error","Empty rows array — minimum items violation","Mismatched row_id keys between primary and secondary dataset — comparison may be incomplete or skipped"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with date, category, and numeric duration/throughput fields and need both a cross-tabulated pivot view and a record-level comparison between two datasets in a single paid call. It is purpose-built for ETL/pipeline analytics on supplied data with no external lookups, making it ideal for batch post-processing of job logs offline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:16.838Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-date-by-category-pivot-keyed-dataset-comparison-22b7c9ef"}