{"uid":"cap_I65e7BImndS238iAGMXzl","slug":"pipeline-durations-record-quality-audit-keyed-dataset-comparison-74c85c7d","name":"Pipeline Durations — Record Quality Audit + Keyed Dataset Comparison","description":"Pipeline durations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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-05-018?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":17,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":33,"dataset_group":"group-b","processed_rows":4}],"maxItems":200,"minItems":0}}},"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_w4hIbVxHfnF36NbK1s0Hq","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 record quality and compares two keyed datasets of pipeline duration metrics (run_seconds, processed_rows) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these pipeline duration records and compare them against a second dataset? I have two sets of up to 200 rows, each with row_id, dataset_group, date, run_seconds, and processed_rows — just flag any quality issues and show me how the two datasets differ key by key.","exampleUseCases":[{"title":"Detecting regressions in pipeline run times","prompt":"I ran our nightly ETL pipeline last week and again this week — can you compare the two sets of run_seconds and processed_rows records by row_id and tell me which jobs got slower or have quality issues?"},{"title":"Quality gate before loading to data warehouse","prompt":"Before I load these pipeline duration logs into the warehouse, can you run a record quality audit on up to 200 rows with fields like row_id, dataset_group, date, run_seconds, and processed_rows, and flag anything that looks malformed or suspicious?"},{"title":"Comparing pipeline output across environments","prompt":"I have pipeline duration records from our staging environment and our production environment — same row_ids — can you compare them side by side and highlight where run_seconds or processed_rows differ significantly?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets based on shared row_id keys. No external data is fetched; all analysis is performed on the supplied data.","failureModes":["Exceeding 200 rows causes a validation error","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes rejection","Invalid date format (non-YYYY-MM-DD) triggers schema validation failure","Mismatched row_ids between datasets may result in empty or partial comparison report","Numeric values outside allowed range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a keyed comparison of two pipeline duration datasets in a single call. It is ideal for data engineers validating ETL pipeline metrics, comparing pipeline runs across environments or time periods, and catching data issues before loading. 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