{"uid":"cap_OPCBr23HnGuGog8CnfIhQ","slug":"transformation-throughput-record-quality-audit-explicit-missing-value-e95e632a","name":"Transformation Throughput — Record Quality Audit + Explicit Missing-Value Fill","description":"Transformation throughput — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-019?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"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_yxxzs90RcC9ErJJBins51","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 fills missing values (via zero, mean, or median) for transformation throughput records containing processed_rows and duration_seconds fields, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my transformation throughput records and fill any missing processed_rows values using median imputation? I have about 50 rows across two dataset groups, each with a date, row ID, processed_rows, and duration_seconds.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have 80 rows of pipeline throughput data with dates, dataset groups, processed_rows, and duration_seconds — some rows have nulls. Can you run a quality audit and fill the missing processed_rows values using the median?"},{"title":"Impute missing duration before reporting","prompt":"Before I generate my weekly throughput report, can you fill in the missing duration_seconds values across my 120 transformation records using mean imputation and give me a quality audit too?"},{"title":"Zero-fill gaps in batch processing logs","prompt":"I've got batch processing logs with some missing processed_rows entries — about 30 rows total. Can you do a record quality audit and fill those gaps with zero so I can pass clean data downstream?"}],"resultDescription":"Returns 2 analytical reports: (1) a record quality audit identifying null, invalid, or out-of-range values across the submitted rows, and (2) an explicit missing-value fill report showing which cells were imputed and what values were substituted using the chosen fill method (zero, mean, or median) for the specified target field (processed_rows or duration_seconds).","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, dataset_group, date) — error per row","Invalid method value outside zero/mean/median enum — rejection","Invalid field value outside processed_rows/duration_seconds enum — rejection","All values present with no nulls — fill report may return no changes"],"whenToPreferThis":"Choose this endpoint when you need both a quality audit and missing-value imputation on transformation throughput data (processed_rows, duration_seconds) in a single call, without requiring any external data lookup or prediction. It is ideal for pre-processing ETL pipeline records before downstream analysis, especially when you want a structured report of data quality issues alongside deterministic null-filling. Prefer this over manual scripts when you need up to 200 rows processed cheaply ($0.01 USDC) with no side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:43.059Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-explicit-missing-value-e95e632a"}