{"uid":"cap_iWa7gMXRImRJHjqqXJbXJ","slug":"pipeline-durations-analytics-record-quality-audit-string-3f70747d","name":"Pipeline Durations Analytics: Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Pipeline durations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-05-194?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_Y_zmfCviFcSJJMkWlXR0L","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 local analytical reports on pipeline duration records — a record quality audit, string normalisation, and grouped numeric summary — for up to 200 rows of run_seconds or processed_rows data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my pipeline duration data — I have about 50 rows with fields row_id, dataset_group, date, run_seconds, and processed_rows — and I want the summary grouped by run_seconds?","exampleUseCases":[{"title":"ETL pipeline quality audit","prompt":"I've got 120 pipeline run records with columns row_id, dataset_group, date, run_seconds, and processed_rows — can you audit them for data quality issues, normalise the dataset_group strings, and give me a grouped numeric summary of run_seconds across groups?"},{"title":"Processed rows grouped stats","prompt":"Run a quality audit, string normalisation, and grouped numeric summary on my 80 pipeline records, and focus the numeric summary on the processed_rows field rather than run_seconds."},{"title":"Spot-checking small pipeline batch","prompt":"I have 4 pipeline duration records for October 2026 — row-1 through row-4 in groups group-a and group-b — can you check them for quality issues, clean up the group name strings, and summarise run_seconds by group?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and anomalies; (2) a string normalisation report cleaning and standardising dataset_group and other string fields; and (3) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the selected numeric field (run_seconds or processed_rows) broken down by dataset_group. All processing is local with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Empty rows array (minItems:1 not satisfied) — error","Invalid field enum value (not run_seconds or processed_rows) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pipeline duration records (with run_seconds and/or processed_rows) and need all three of a quality audit, string normalisation, and grouped numeric summary in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical tasks on supplied data where no live data lookup, external enrichment, or predictive modelling is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:58.568Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-record-quality-audit-string-3f70747d"}