{"uid":"cap_klqvkkHtiMhFS9CZdKGr8","slug":"data-ingestion-batches-category-frequencies-numeric-row-ordering-a7366989","name":"Data Ingestion Batches — Category Frequencies + Numeric Row Ordering","description":"Data ingestion batches — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-01-100?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"}}},"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_AUKm2Y01eo3WuTFhQ5J-2","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 data ingestion batch records by computing category frequencies for dataset_group and numeric ordering for received_rows or accepted_rows, returning two local analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you analyze my ingestion batch data — I have records with row_id, dataset_group, date, received_rows, and accepted_rows — and give me two reports: one showing how frequently each dataset_group appears, and one ranking rows by received_rows?","exampleUseCases":[{"title":"Audit ETL pipeline group distribution","prompt":"I have 50 ingestion batch records from my ETL pipeline with dataset_group, received_rows, and accepted_rows columns. Can you tell me how frequently each dataset group appears and rank the rows by received_rows so I can see which groups dominate my pipeline?"},{"title":"Spot low-acceptance batches by ordering","prompt":"Here are my last 200 data ingestion batch records — each has a row_id, date, dataset_group, received_rows, and accepted_rows. Give me a numeric ordering by accepted_rows so I can find which batches had the lowest acceptance rates, and also show me how many times each dataset_group shows up."},{"title":"Monitor batch group imbalance over time","prompt":"I'm tracking data ingestion batches across two groups — 'group-a' and 'group-b' — over the past month. Can you compute the category frequencies for dataset_group and rank all rows by received_rows for me using this batch data I'll provide?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a numeric ordering/ranking of rows by the selected field (received_rows or accepted_rows). Both reports are computed locally with no external lookups.","failureModes":["Batch exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems:1 violated) causes request failure","Invalid field enum value (anything other than 'received_rows' or 'accepted_rows') causes error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical computation over a batch of ingestion records without any external data lookups or ML predictions — specifically when you want both category frequency counts (for dataset_group) and numeric ordering of row metrics (received_rows or accepted_rows) in a single low-cost call. Ideal for data engineers auditing ETL pipeline batch distributions or ranking ingestion performance across groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:40.485Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-category-frequencies-numeric-row-ordering-a7366989"}