{"uid":"cap_Z9mIjSmiM0j1ap4_-rlza","slug":"pipeline-durations-grouped-summary-with-missing-value-fill-00277cb5","name":"Pipeline Durations Grouped Summary with Missing-Value Fill","description":"Pipeline durations — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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-05-099?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_uMI7BSJB38iATR18ByFz_","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 grouped numeric summaries and fills missing values for pipeline duration records (run_seconds, processed_rows) across up to 200 rows.","exampleAgentPrompt":"I have 4 pipeline run records across two groups — group-a on 2026-10-01 with run_seconds=10 and processed_rows=1, group-b on 2026-10-02 with run_seconds=20 and processed_rows=2, group-a on 2026-10-03 with run_seconds=null and processed_rows=3, group-b on 2026-10-04 with run_seconds=30 and processed_rows=4 — can you give me a grouped numeric summary for run_seconds and fill any missing values using median?","exampleUseCases":[{"title":"ETL pipeline performance audit","prompt":"Here are 50 pipeline run records from last month across 5 dataset groups — can you group them by dataset_group, summarize the run_seconds stats for each group, and fill any missing run_seconds using the group median?"},{"title":"Missing throughput data imputation","prompt":"I have pipeline logs where some processed_rows values are null — please fill the missing processed_rows using the mean method and give me a grouped summary of processed_rows across all dataset groups in my 120-row dataset."},{"title":"Daily pipeline duration comparison","prompt":"I want to compare pipeline durations across group-a and group-b for October 2026 — can you group these 40 records by dataset_group and give me a numeric summary of run_seconds, filling any missing values with zero?"}],"resultDescription":"Returns two analytical reports: a grouped numeric summary (e.g. count, mean, median, min, max per dataset_group) for the specified field, and a version of the dataset with missing values in that field explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all computation is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","Row missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) — validation error","More than 200 rows submitted — rejected by maxItems constraint","Date field not matching YYYY-MM-DD pattern — schema validation failure","Invalid fill method or field enum value — rejected input","Numeric values outside allowed range (±1e12) — validation error"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records (with run_seconds and processed_rows) that need both grouped statistical summarization and missing-value imputation in a single call. It is ideal for data engineering teams auditing ETL performance or preparing pipeline metrics for downstream analysis, when you need up to 200 rows processed cheaply ($0.01 USDC for two reports) without external lookups or live data fetching.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:22.155Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-grouped-summary-with-missing-value-fill-00277cb5"}