{"uid":"cap_3k9z8_CQXapU1XltNoRgl","slug":"data-ingestion-batches-category-frequencies-explicit-missing-value-fill-8adbd5eb","name":"Data Ingestion Batches — Category Frequencies + Explicit Missing-Value Fill","description":"Data ingestion batches — Category frequencies + Explicit missing-value fill: Category frequencies + 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-01-112?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_lJ8j5hUrtMmw_idtoYD-p","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 to produce two local analytical reports: category frequency distribution and explicit missing-value fill for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you analyze these 50 data ingestion batch records and give me both the category frequency breakdown by dataset_group and fill any missing accepted_rows values using the median method?","exampleUseCases":[{"title":"Audit dataset group distribution in pipeline","prompt":"I have 120 rows from our ingestion pipeline logs with fields like row_id, dataset_group, date, received_rows, and accepted_rows — can you run a category frequency report on dataset_group and also fill any missing received_rows values using the mean?"},{"title":"Impute nulls in accepted_rows with zero","prompt":"Some of our ingestion batch records have null accepted_rows values — can you fill those with zero and also give me a frequency count of how many records belong to each dataset_group? I have about 80 rows total."},{"title":"QA check on daily ingestion batch data","prompt":"Here are our daily ingestion batch records for the past two months — around 150 rows — can you compute the category frequencies for dataset_group and use median imputation to fill any missing received_rows values so I can QA the pipeline?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts for the dataset_group field showing how many records belong to each group, and (2) an explicit missing-value fill report for the selected numeric field (received_rows or accepted_rows) using the chosen fill method (zero, mean, or median), with filled values substituted for nulls across up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date) on any row — validation error","Invalid date format not matching YYYY-MM-DD pattern","Invalid enum value for field or method parameters","All rows have null values for selected field — mean/median fill may be undefined","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need fast, local analytical computation on a small batch of data ingestion records (up to 200 rows) without any external lookups or live data. Ideal for data quality workflows that require both a frequency audit of categorical pipeline fields and numeric missing-value imputation in a single low-cost call ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when working specifically with ingestion batch data keyed by row_id, dataset_group, date, received_rows, and accepted_rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:24.239Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-category-frequencies-explicit-missing-value-fill-8adbd5eb"}