{"uid":"cap_d38M5lfg3H1UrtSdsiewm","slug":"pipeline-durations-analytics-record-quality-audit-daily-sum-series-883c151b","name":"Pipeline Durations Analytics — Record Quality Audit + Daily Sum Series","description":"Pipeline durations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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-05-009?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_pjcNMGzVp8NMFYnvBBL6N","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 two independent local analytical reports on pipeline duration records: a record quality audit and a daily sum time series, covering up to 200 rows of run_seconds or processed_rows data.","exampleAgentPrompt":"I have up to 200 pipeline run records with fields like run_seconds, processed_rows, dataset_group, and date — can you run a record quality audit and a daily sum series on the run_seconds field for me?","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"Here are my last 150 ETL pipeline execution records with run_seconds and processed_rows — run a record quality audit on the run_seconds field and give me the daily sum series so I can spot problem days."},{"title":"Daily processed rows rollup for reporting","prompt":"I have pipeline logs for October with dataset_group, date, and processed_rows — can you generate both a quality audit and a daily sum series for processed_rows so I can include this in my weekly ops report?"},{"title":"Detecting bad data in pipeline metrics","prompt":"Can you audit these 80 pipeline duration records across group-a and group-b for data quality issues, and also give me the daily totals for run_seconds over the date range?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a daily sum time series aggregating the selected metric (run_seconds or processed_rows) by date, computed entirely from the supplied data using local analytical engines with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — trim input to 200 records","Missing required fields (row_id, date, dataset_group, run_seconds, processed_rows) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Field selector must be exactly 'run_seconds' or 'processed_rows'; other values fail","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array is not accepted (minItems: 1)","Payment failure (insufficient USDC) prevents processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline execution records and need both a data quality audit and a daily aggregated sum series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical checks on ETL or data pipeline metrics (run_seconds, processed_rows) where no live data, external lookups, or predictions are needed — just fast, local statistical reporting on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:13.650Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-daily-sum-series-883c151b"}