{"uid":"cap_p4Qo_wO40pArWU8Kz2Kgz","slug":"data-ingestion-batches-numeric-distribution-date-by-category-pivot-e6351220","name":"Data Ingestion Batches — Numeric Distribution + Date by Category Pivot Analytics","description":"Data ingestion batches — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-01-083?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_eL6tLDgUiXw4yjXhN0HWV","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":"Generates two local analytical reports — a numeric distribution and a date-by-category pivot — for up to 200 data ingestion batch records covering received_rows and accepted_rows fields.","exampleAgentPrompt":"Can you run a numeric distribution and a date-by-category pivot on these ingestion batch records — I have up to 50 rows with received_rows and accepted_rows per dataset group, and I want to analyze the received_rows field?","exampleUseCases":[{"title":"Pipeline acceptance rate analysis","prompt":"I have a list of 80 ingestion batch records with dataset_group, date, received_rows, and accepted_rows — can you generate a numeric distribution and a date-by-category pivot for the accepted_rows field so I can see how acceptance varies across groups over time?"},{"title":"Daily ingestion volume distribution","prompt":"Here are my last 150 data ingestion batch records tagged by dataset group and date — can you run both the numeric distribution and date pivot reports on the received_rows field to help me understand volume patterns?"},{"title":"QA audit of batch row counts","prompt":"I want to QA my ingestion pipeline — I have 30 batch records with received_rows and accepted_rows across two dataset groups. Can you give me the numeric distribution and date-by-category pivot for accepted_rows so I can spot anomalies?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summarizing the statistical spread (e.g. min, max, mean, percentiles) of the selected field (received_rows or accepted_rows), and (2) a date-by-category pivot table cross-tabulating the selected field values by date and dataset_group — all computed locally from the supplied rows, with no external data lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not one of 'received_rows' or 'accepted_rows' — rejected","Numeric values outside ±1,000,000,000,000 range — schema violation","Payment not provided or insufficient (requires 0.01 USDC via x402) — 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular data ingestion batch records (up to 200 rows) and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical summarization of ETL pipeline metrics without any external lookup or live data dependency. Prefer it over general analytics platforms when you need a lightweight, self-contained batch analytics call on ingestion row counts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.558Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-date-by-category-pivot-e6351220"}