{"uid":"cap_d1QcBQ0IIbxsxJuyWK9YL","slug":"pipeline-durations-record-quality-audit-explicit-missing-value-fill-7422f691","name":"Pipeline Durations – Record Quality Audit + Explicit Missing-Value Fill","description":"Pipeline durations — Record quality audit + Explicit missing-value fill: Record quality audit + 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-05-019?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_88ISt7w2zVibjS_8STINJ","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":"Audits the quality of pipeline duration records (run_seconds, processed_rows) and fills missing values using a chosen imputation method (zero, mean, or median) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and fill any missing run_seconds values using median imputation on these 50 pipeline duration rows I have for dataset groups 'etl-prod' and 'etl-staging'?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have 120 pipeline run records with date, run_seconds, and processed_rows for our nightly ETL jobs — can you audit them for quality issues and fill any missing run_seconds using median imputation?"},{"title":"Missing processed_rows backfill","prompt":"Some of our pipeline logs are missing processed_rows values. Can you fill in those gaps using mean imputation across these 80 records and give me a quality report at the same time?"},{"title":"Pre-analytics data cleaning","prompt":"Before I load this batch of 200 pipeline duration records into our dashboard, can you check their quality and replace any null run_seconds fields with zero so the dataset is complete?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and anomalies across run_seconds and processed_rows fields; and (2) an explicit missing-value fill report showing imputed values for the chosen field using the selected method (zero, mean, or median), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date) in one or more rows — schema validation failure","Invalid date format not matching YYYY-MM-DD pattern — rejected","Invalid enum value for method or field — schema validation error","Empty rows array — rejected by minItems constraint","Numeric values outside allowed range — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and missing-value imputation on pipeline duration data (run_seconds, processed_rows) in a single call, with no external lookups or predictions — ideal for pre-analytics data cleaning of ETL/pipeline logs up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:18.866Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-record-quality-audit-explicit-missing-value-fill-7422f691"}