{"uid":"cap_fiyOflGgDshR5plch11k2","slug":"data-ingestion-batches-category-frequencies-numeric-interval-filter-6d943450","name":"Data Ingestion Batches — Category Frequencies + Numeric Interval Filter","description":"Data ingestion batches — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-01-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_odyqUuZ45h3NLz0mzD0KW","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 category frequency counts by dataset_group and filters rows by a numeric interval on received_rows or accepted_rows.","exampleAgentPrompt":"Analyze these 50 ingestion batch records — give me the frequency of each dataset_group and filter rows where received_rows is between 0 and 200: [rows array here].","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have 120 ingestion batch records with dataset_group and accepted_rows fields. Can you count how many records belong to each dataset_group and then show me only the rows where accepted_rows falls between 10 and 500?"},{"title":"Daily ingestion volume range check","prompt":"Here are my daily ingestion batch logs for October — each row has a dataset_group, received_rows, and accepted_rows. Give me the frequency breakdown by dataset_group and filter the records where received_rows is between 50 and 1000."},{"title":"Data quality group distribution report","prompt":"I need two reports on my ingestion batch data: first, how many records are in each dataset_group category, and second, which rows have accepted_rows between 0 and 100. Here are 80 rows with row_id, date, dataset_group, received_rows, and accepted_rows."}],"resultDescription":"Returns two independent reports: (1) a category frequency table showing how many records belong to each distinct dataset_group value, and (2) a filtered subset of rows where the chosen numeric field (received_rows or accepted_rows) falls within the specified minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Minimum greater than maximum may return empty interval filter results","Null values in the selected numeric field may be excluded from interval filter","Payment failure (non-payment or wrong amount) blocks execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on received_rows or accepted_rows in a single low-cost call. It is ideal for lightweight ETL monitoring, data quality spot-checks, and pipeline audits that do not require live database access, ML predictions, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:25.628Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-category-frequencies-numeric-interval-filter-6d943450"}