{"uid":"cap_1dsjH1ieC9bYoHTvR-a0K","slug":"data-ingestion-batches-record-quality-audit-missing-value-fill-213e5829","name":"Data Ingestion Batches — Record Quality Audit + Missing-Value Fill","description":"Data ingestion batches — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied data ingestion batches records (received_rows, accepted_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-01-019?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_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_HFbxIyRsluhsNymINg_dZ","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 (received_rows or accepted_rows) in up to 200 data ingestion batch records using local analytical engines, returning two independent reports.","exampleAgentPrompt":"Can you audit the quality of these data ingestion batch records and fill in any missing accepted_rows values using median imputation? I have up to 50 rows with fields: row_id, dataset_group, date, received_rows, and accepted_rows — some accepted_rows are null.","exampleUseCases":[{"title":"ETL pipeline quality check","prompt":"I have 80 rows from my ETL pipeline with received_rows and accepted_rows counts per dataset group and date — some accepted_rows are null. Can you run a quality audit and fill the missing accepted_rows using median imputation?"},{"title":"Data completeness audit for ingestion logs","prompt":"Here are 120 ingestion batch records from last month with row_id, dataset_group, date, received_rows, and accepted_rows. Some received_rows values are missing — can you audit the record quality and fill those nulls using mean fill?"},{"title":"Zero-fill missing row counts for reporting","prompt":"I need to prepare a report on data ingestion batches. Can you audit these 40 batch records for quality issues and zero-fill any missing received_rows values so there are no gaps in the dataset?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or anomalies in the supplied rows, and (2) a missing-value fill report showing the imputed values for the specified field (received_rows or accepted_rows) using the chosen method (zero, mean, or median). All processing is performed locally with no external lookups or predictions.","failureModes":["Input array is empty or exceeds 200 rows — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid fill method or field enum value — bad request error","Missing required fields (row_id, dataset_group, date) — schema validation error","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit AND statistical missing-value imputation for ingestion batch metrics (received_rows / accepted_rows) in a single call, without requiring live data lookups or external services. Ideal for ETL pipeline monitoring, data quality assurance workflows, and preprocessing ingestion logs before reporting. Prefer over manual scripts when you need two independent analytical reports at low cost ($0.01 USDC) for batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:24.240Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-missing-value-fill-213e5829"}