{"uid":"cap_OC01esAiu4qStJGxiJKHi","slug":"data-ingestion-batches-numeric-distribution-explicit-missing-value-fill-9058a032","name":"Data Ingestion Batches — Numeric Distribution + Explicit Missing-Value Fill","description":"Data ingestion batches — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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-01-085?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_FOgIjWA6Pq5qDXSQjO_u_","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":"Analyzes up to 200 data ingestion batch records by computing a numeric distribution report and filling missing values in received_rows or accepted_rows using a chosen fill method (zero, mean, or median).","exampleAgentPrompt":"Can you analyze the numeric distribution of received_rows across these batch ingestion records and fill any missing values using the median method? I have about 50 rows with fields like row_id, dataset_group, date, received_rows, and accepted_rows.","exampleUseCases":[{"title":"Pipeline QA for ingestion row counts","prompt":"I have 80 rows of daily ingestion batch data with some nulls in received_rows — can you compute the numeric distribution of received_rows and fill those missing values using the mean?"},{"title":"Accepted rows audit across dataset groups","prompt":"Run a numeric distribution analysis on accepted_rows for my 120 ingestion batch records and fill any null accepted_rows with zero so I can see the full picture across dataset groups."},{"title":"Pre-reporting data completeness check","prompt":"Before I send my ingestion report, can you take these 40 batch records and give me both a numeric distribution of received_rows and fill the missing values using median imputation?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the specified field (received_rows or accepted_rows), and (2) the same dataset with missing values in that field explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally against the supplied data with no external lookups.","failureModes":["Validation error if rows array is empty or exceeds 200 items","Schema error if required fields (row_id, dataset_group, date, received_rows, accepted_rows) are missing from any row","Invalid date format — must match YYYY-MM-DD pattern","Invalid enum value for field or method parameters","Payment failure via x402 protocol if USDC is not supplied","Numeric values out of allowed range (-1e12 to 1e12) will be rejected"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution profile and missing-value imputation for data ingestion batch metrics (received_rows or accepted_rows) in a single $0.01 call covering up to 200 rows. Prefer it over general statistics APIs when you specifically work with ETL/ingestion pipeline batch records and need a combined two-report output without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:45.507Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-explicit-missing-value-fill-9058a032"}