{"uid":"cap_gXtlASkAny5_0pGwH0kky","slug":"pipeline-durations-grouped-numeric-summary-category-frequencies-f7f93a75","name":"Pipeline Durations — Grouped Numeric Summary + Category Frequencies","description":"Pipeline durations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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-05-086?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_jvubssQY6pX1S3GWvSPqs","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":"Analyzes pipeline duration records by producing a grouped numeric summary and category frequency report for run_seconds or processed_rows fields, grouped by dataset_group.","exampleAgentPrompt":"Can you run a grouped numeric summary and category frequency analysis on my pipeline duration records? I have up to 50 rows with fields like row_id, dataset_group, date, run_seconds, and processed_rows — analyze the run_seconds field and group by dataset_group.","exampleUseCases":[{"title":"Pipeline performance audit by team","prompt":"I have 120 pipeline run records with dataset_group, date, run_seconds, and processed_rows — can you give me a grouped numeric summary and category frequency breakdown for run_seconds so I can see which groups are slowest?"},{"title":"ETL batch throughput analysis","prompt":"Here are 80 rows from our nightly ETL logs with row_id, dataset_group, date, run_seconds, and processed_rows — please run a grouped summary and frequency report on the processed_rows field so I can see throughput by group."},{"title":"Pipeline monitoring dashboard prep","prompt":"I want to summarize 200 pipeline execution records by dataset_group — can you compute a grouped numeric summary and category frequencies for the run_seconds field so I can feed it into our monitoring dashboard?"}],"resultDescription":"Returns two reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the chosen numeric field (run_seconds or processed_rows) broken down by dataset_group, and (2) category frequency counts showing how often each dataset_group appears across the supplied rows. Covers up to 200 input rows.","failureModes":["Input array exceeds 200 rows — rejected with validation error","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — row rejected or error returned","Invalid date format not matching YYYY-MM-DD pattern — validation failure","Numeric field values out of allowed range — rejected","Empty rows array — no results returned","Invalid field enum value (not run_seconds or processed_rows) — error"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records with run_seconds and processed_rows metrics and need both a grouped statistical summary and category frequency breakdown in a single call for up to 200 rows. It is ideal for lightweight, local analytical computation without needing a full data warehouse or BI tool. Prefer it over generic analytics APIs when your data is already structured with dataset_group labels and you want two complementary views (numeric stats + group counts) in one paid call at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:35.613Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-grouped-numeric-summary-category-frequencies-f7f93a75"}