{"uid":"cap_UlWmlfbXJ2Nux_LOva0Pu","slug":"pipeline-durations-analytics-record-quality-audit-string-9990fc86","name":"Pipeline Durations Analytics: Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Pipeline durations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-05-204?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}}},"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_wtavA_P8EvM7YSjNJ28nV","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":"Runs three bundled analytical reports on pipeline duration records — a data quality audit, string normalisation, and Pearson/Spearman correlation between run_seconds and processed_rows — for up to 200 rows at $0.01 USDC.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and correlation analysis on my pipeline run records? Here are 50 rows with row_id, dataset_group, date, run_seconds, and processed_rows — I want to know if the data is clean, get normalised group labels, and see how run time correlates with rows processed.","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"I have a CSV export of our nightly ETL pipeline runs — about 120 rows with columns for run_id, dataset_group, date, run_seconds, and processed_rows. Can you audit the data quality, normalise the group name strings, and tell me if there's a correlation between how long the job ran and how many rows it processed?"},{"title":"Throughput-duration correlation study","prompt":"We're trying to understand whether longer pipeline runs actually process more rows or if something's off. I've got 80 records with run_seconds and processed_rows — can you run a two-measure correlation analysis and flag any data quality issues at the same time?"},{"title":"Dataset group label cleanup","prompt":"Our pipeline logs have messy dataset_group values — inconsistent casing and spacing across about 60 records. Can you normalise those strings, do a quality audit on the whole batch, and also check if there's any meaningful correlation between run time and processed row count?"}],"resultDescription":"Three independent analytical reports returned in a single response: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields; (2) a string normalisation report standardising dataset_group labels; (3) a two-measure correlation report (e.g. Pearson/Spearman) between run_seconds and processed_rows, all computed locally against the supplied rows with no external data fetched.","failureModes":["Fewer than 1 row submitted — rejected by minItems constraint","More than 200 rows submitted — rejected by maxItems constraint","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) — validation error","Date not matching YYYY-MM-DD pattern — schema validation failure","run_seconds or processed_rows outside ±1e12 bounds — schema rejection","Insufficient numeric variance in measures — correlation may be undefined or NaN"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and bivariate correlation — on pipeline duration data in a single low-cost call. Prefer it over general analytics APIs when your data is pipeline execution logs with run_seconds and processed_rows fields, you want offline/local computation with no external lookups, and you need all three reports for $0.01 USDC rather than paying for separate services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:43:32.383Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-string-9990fc86"}