{"uid":"cap_9iNgHnwiJgBdml3oizU4Q","slug":"pipeline-durations-numeric-distribution-missing-value-fill-16bc7e6d","name":"Pipeline Durations — Numeric Distribution & Missing-Value Fill","description":"Pipeline durations — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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-05-085?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_KIEoYdJb8zvxlBSbEVwi2","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 numeric distribution statistics and fills missing values (via zero, mean, or median) for pipeline duration records (run_seconds, processed_rows) across up to 200 rows.","exampleAgentPrompt":"Can you analyze the numeric distribution of run_seconds and fill any missing values using median for these pipeline records — I have up to 50 rows with fields row_id, dataset_group, date, run_seconds, and processed_rows?","exampleUseCases":[{"title":"ETL pipeline duration audit","prompt":"I have 80 pipeline run records with run_seconds and processed_rows — can you give me a numeric distribution report for run_seconds and fill any missing values using the median?"},{"title":"Data quality cleanup for processed rows","prompt":"My dataset has about 120 pipeline records and some processed_rows values are null — can you fill those gaps using the mean and show me the distribution across the dataset?"},{"title":"Zero-fill missing durations for reporting","prompt":"I need to prep 60 pipeline duration rows for a report — can you fill any null run_seconds values with zero and give me the numeric distribution so I know how spread out the execution times are?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary (e.g., min, max, mean, median, std dev, percentiles) for the chosen field, and (2) a table of records with missing values explicitly filled using the selected method (zero, mean, or median). Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id) causes row-level rejection","Numeric values outside allowed range cause schema validation failure","Empty rows array returns an error","Invalid enum value for field or method causes bad-request error"],"whenToPreferThis":"Choose this endpoint when you have pipeline execution records (run_seconds, processed_rows) and need both a statistical distribution summary and missing-value imputation in a single call for up to 200 rows. It is ideal for lightweight, offline analytical tasks on supplied data without requiring external data lookups or prediction services. Prefer this over general-purpose analytics when you specifically need ETL/pipeline duration metrics with explicit null-fill.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:10.292Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-numeric-distribution-missing-value-fill-16bc7e6d"}