{"uid":"cap_sksFXOQS45erEJIfB7R6T","slug":"data-ingestion-batches-numeric-row-ordering-explicit-missing-value-fill-75130a95","name":"Data Ingestion Batches — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Data ingestion batches — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-01-124?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_aR7JPDKqdEpiXZJcCChrP","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":"Sorts data ingestion batch records numerically by row and fills missing values in received_rows or accepted_rows using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Sort my data ingestion batch rows numerically and fill any missing received_rows values using median imputation — I have 4 rows across two dataset groups (group-a and group-b) dated 2026-10-01 through 2026-10-04, and I want both analytical reports.","exampleUseCases":[{"title":"ETL pipeline null imputation audit","prompt":"I have 150 rows of ingestion batch data with some null accepted_rows values — can you sort them by row number and fill the missing ones using the mean, then give me both reports?"},{"title":"Daily ingestion batch quality check","prompt":"Sort my ingestion batch records for dataset groups alpha and beta by row ID and fill any missing received_rows with zero so I can see the full picture — here are my 80 rows dated last week."},{"title":"Data engineering onboarding validation","prompt":"I'm validating a new data pipeline — can you take these 12 ingestion batch rows, order them numerically, and impute any nulls in accepted_rows using median? I need both the ordering and fill reports."}],"resultDescription":"Two analytical reports per call: one covering numeric row ordering of the supplied ingestion batch records, and one covering explicit missing-value fill for the specified field (received_rows or accepted_rows) using the chosen method (zero, mean, or median). Reports are based entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid enum value for field or method parameters — schema validation error","Empty rows array — rejected, minItems is 1"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ordering and missing-value imputation on data ingestion batch records (received_rows, accepted_rows) in a single low-cost call. It is purpose-built for ingestion batch analytics and delivers two reports for $0.01 USDC, making it ideal for ETL quality checks, pipeline audits, and data cleaning tasks on up to 200 rows without requiring any live data lookup or external service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:22.899Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-row-ordering-explicit-missing-value-fill-75130a95"}