{"uid":"cap_Yd4RMQuJMJxtPl7PZNgew","slug":"data-ingestion-batches-daily-sum-series-date-by-category-pivot-c80a69b3","name":"Data Ingestion Batches — Daily Sum Series + Date by Category Pivot","description":"Data ingestion batches — Daily sum series + Date by category pivot: Daily sum series + 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-01-143?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_MZ9oFZb6odxe2B27IdELl","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 analytical reports — a daily sum time series and a date-by-category pivot table — from supplied data ingestion batch records (received_rows and accepted_rows).","exampleAgentPrompt":"I have up to 200 data ingestion batch records with row_id, dataset_group, date, received_rows, and accepted_rows — can you run both a daily sum time series and a date-by-category pivot on the received_rows field for me?","exampleUseCases":[{"title":"ETL pipeline daily acceptance audit","prompt":"Here are my ingestion batch records for the past month across dataset groups A, B, and C — can you give me a daily sum series and a pivot table of accepted_rows by group and date so I can see where rows are being dropped?"},{"title":"Multi-group ingestion throughput comparison","prompt":"I've got 150 rows of ingestion batch data with dataset groups 'sales', 'inventory', and 'crm' — run a daily totals series and a date-by-category pivot on received_rows so I can compare throughput across groups."},{"title":"Data quality monitoring report","prompt":"Can you take these ingestion batch records and generate both a daily sum time series and a pivot table showing accepted_rows broken down by dataset group and date? I want to spot any days where acceptance rates dropped."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected metric (received_rows or accepted_rows) by date across all records, and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group — both computed locally from the supplied data, covering up to 200 rows.","failureModes":["Input array is empty or missing — minimum 1 row required","More than 200 rows supplied — exceeds maxItems limit","Date field does not match YYYY-MM-DD pattern — validation error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema rejection","Invalid field selector — must be 'received_rows' or 'accepted_rows'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a daily aggregated time series AND a cross-tabulated pivot by dataset group in a single $0.01 call. It is best suited for offline/supplied-data analysis of ETL or batch pipeline metrics — not for live data lookups, predictions, or real-time monitoring. Prefer this over generic analytics tools when you specifically need the dual-report (time series + pivot) format on received/accepted row count data without external data fetching.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:07.254Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-daily-sum-series-date-by-category-pivot-c80a69b3"}