{"uid":"cap_2yWMssKGfVuK6UKfta4wQ","slug":"pipeline-durations-quality-audit-iqr-outlier-detection-3d801e50","name":"Pipeline Durations Quality Audit & IQR Outlier Detection","description":"Pipeline durations — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-05-014?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_lb6FJJgnyS6AwrgAXAGrS","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":"Performs record quality audit and IQR-based outlier flagging on pipeline duration data (run_seconds or processed_rows) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit and IQR outlier check on my pipeline duration data — I have 12 rows with run_seconds and processed_rows fields, grouped by dataset_group, and I want to audit the run_seconds field specifically?","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have a week of daily pipeline run logs with run_seconds and processed_rows for two dataset groups — can you audit the data quality and flag any IQR outliers in the run_seconds field across all 7 rows?"},{"title":"Data quality check before reporting","prompt":"Before I include these pipeline results in my weekly report, can you do a record quality audit and outlier check on the processed_rows field for these 50 pipeline records grouped by group-a and group-b?"},{"title":"Batch job duration monitoring","prompt":"I'm seeing some suspiciously fast and slow batch jobs — can you audit this set of 30 pipeline duration records and flag which run_seconds values are statistical outliers using IQR?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit covering completeness, validity, and consistency issues across the submitted rows, and (2) IQR-based outlier flags identifying which records have anomalous values in the specified field (run_seconds or processed_rows). Reports are generated locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, dataset_group) causes row-level rejection","Invalid date format (non-YYYY-MM-DD) triggers schema validation failure","Null or out-of-range numeric values may reduce outlier detection accuracy","Specifying an invalid field enum value (not run_seconds or processed_rows) returns an error"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost ($0.01 USDC) dual-report covering both data quality and statistical outlier detection on pipeline timing data up to 200 rows. Ideal for automated ETL monitoring pipelines, pre-reporting data validation, or debugging anomalous batch job durations without needing an external data warehouse or live lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:06.665Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-quality-audit-iqr-outlier-detection-3d801e50"}