{"uid":"cap_8t4z1JSBohEqjndtzCPxs","slug":"dataset-partition-sizes-category-frequencies-date-by-category-pivot-bd34c98b","name":"Dataset Partition Sizes — Category Frequencies + Date by Category Pivot","description":"Dataset partition sizes — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied dataset partition sizes records (row_count, file_mb). 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-07-110?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","row_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","file_mb":1,"row_count":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"row_count":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"row_count":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"row_count":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["row_count","file_mb"],"type":"string","default":"row_count"}}},"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_Sr5I9wTseEJi1TB0sN41_","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 dataset partition size records (row_count or file_mb) to produce two reports: category frequency counts and a date-by-category pivot table.","exampleAgentPrompt":"Can you run two analytics reports on my dataset partition records — give me the category frequencies and a date-by-category pivot for the row_count field? Here are my rows: group-a on 2026-10-01 with 10 rows and 1 MB, group-b on 2026-10-02 with 20 rows and 2 MB, group-a on 2026-10-03 with 15 rows and 3 MB, group-b on 2026-10-04 with 30 rows and 4 MB.","exampleUseCases":[{"title":"Auditing partition growth by dataset group","prompt":"I have a log of 50 dataset partitions with their row counts and dates — can you tell me how frequently each dataset group appears and show me a pivot of row_count by date and group so I can see growth trends?"},{"title":"Storage usage breakdown by category","prompt":"For these 80 partition records, analyze the file_mb field: give me a frequency count of each dataset_group and a pivot table showing file size by date and category so I can spot which groups are consuming the most storage."},{"title":"Monthly partition audit for data platform","prompt":"Here's our monthly partition metadata for 120 records across five dataset groups — run the category frequency report and the date-by-category pivot on row_count so I can share a summary with the data platform team."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a date-by-category pivot table showing the selected numeric field (row_count or file_mb) broken down by date and dataset_group. Covers up to 200 input rows per call.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause row-level validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Null numeric values for the selected field may produce incomplete pivot cells","Invalid field enum value (not 'row_count' or 'file_mb') causes request rejection"],"whenToPreferThis":"Choose this endpoint when you have a flat list of dataset partition records and need both a quick category frequency count and a date-by-category pivot in a single call for under $0.01. It is ideal for lightweight, local analytical summaries on up to 200 rows without needing a full BI tool or external query engine. Prefer alternatives if you need more than 200 rows, live data lookups, trend forecasting, or reports beyond frequency and pivot.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.659Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-category-frequencies-date-by-category-pivot-bd34c98b"}