{"uid":"cap_DM9C9FaFMKn9udvti5b6E","slug":"pipeline-durations-record-quality-audit-string-normalisation-missing-bb696902","name":"Pipeline Durations — Record Quality Audit, String Normalisation & Missing-Value Fill","description":"Pipeline durations — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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-05-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_GJ9Igv6xXBPIcrneWw4LN","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 data-quality reports (record audit, string normalisation, missing-value fill) on pipeline duration records containing run_seconds and processed_rows fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and missing-value fill (using median) on my pipeline duration data? I have 4 rows with run_seconds and processed_rows for dataset groups 'group-a' and 'group-b' between 2026-10-01 and 2026-10-04 — fill missing values in the run_seconds field.","exampleUseCases":[{"title":"Pre-load ETL pipeline data audit","prompt":"Before I load my pipeline run logs to the warehouse, can you audit the record quality, normalise any string fields, and fill any missing run_seconds values using the median — here are my 50 rows with row IDs, dataset groups, dates, run_seconds, and processed_rows?"},{"title":"Missing processed_rows detection and fill","prompt":"I've got 120 rows of pipeline duration records and some of the processed_rows values are missing — can you run the three quality reports and fill those gaps using the mean method?"},{"title":"String normalisation check for pipeline metrics","prompt":"Can you check my pipeline metrics dataset for string formatting issues, audit record quality, and fill any null values in run_seconds with zero? I'll send you 30 rows covering October runs across group-a and group-b."}],"resultDescription":"Returns three independent analytical reports for the supplied pipeline duration rows: (1) a record quality audit identifying malformed or invalid records, (2) a string normalisation report flagging and correcting inconsistent string values in fields like dataset_group, and (3) a missing-value fill report showing where run_seconds or processed_rows were null and what values were substituted using the chosen method (zero, mean, or median). All reports are computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, run_seconds, processed_rows, dataset_group) causes row-level rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Selecting an unsupported fill method (not zero/mean/median) returns an enum validation error","Submitting zero rows returns a minItems validation error","Numeric values outside the allowed range (±1,000,000,000,000) are rejected"],"whenToPreferThis":"Choose this endpoint when you need a combined, low-cost ($0.01 USDC) batch data-quality pass — record audit, string normalisation, and missing-value fill — on pipeline duration data (run_seconds, processed_rows) in a single call, without needing external lookups, predictions, or professional assessments. It is ideal for pre-ingestion validation of ETL run logs for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:19.980Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-record-quality-audit-string-normalisation-missing-bb696902"}