{"uid":"cap_Wev1912cexUyMJMHxXULW","slug":"dataset-partition-sizes-category-frequencies-daily-sum-series-7ef3d765","name":"Dataset Partition Sizes — Category Frequencies + Daily Sum Series","description":"Dataset partition sizes — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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-07-102?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_nbea-mfRtLnycpOeuEk2P","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, file_mb) to produce category frequency counts by group and a daily sum time series, delivered as two independent analytical reports.","exampleAgentPrompt":"Analyze these dataset partition records and give me two reports: how often each dataset_group appears and the daily total row_count per day — here are 4 rows: row-1 on 2026-10-01 group-a file_mb=1 row_count=10, row-2 on 2026-10-02 group-b file_mb=2 row_count=20, row-3 on 2026-10-03 group-a file_mb=3 row_count=15, row-4 on 2026-10-04 group-b file_mb=4 row_count=30.","exampleUseCases":[{"title":"Monitor partition growth by group","prompt":"I have a list of dataset partition records with dates, group names, and row counts — can you tell me how frequently each group appears and what the total row_count looks like day by day? Here's the data for the past week across groups alpha, beta, and gamma."},{"title":"Audit daily file size trends","prompt":"Can you run an analysis on these partition size logs and show me the daily sum of file_mb over time plus how many records each dataset_group has? I want to track if any group is ballooning in file size. Use file_mb as the measurement field."},{"title":"Validate dataset group distribution","prompt":"I've got about 150 rows of partition metadata with dataset_group, date, row_count, and file_mb fields — can you give me a frequency breakdown by category and a day-by-day sum series for row_count so I can see which groups dominate and whether row counts are growing?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how many records exist per dataset_group value, and (2) a daily sum time series aggregating the selected numeric field (row_count or file_mb) by date. Up to 200 rows of input are processed locally with no external calls.","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 validation errors","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric fields outside allowed range trigger boundary errors","Empty rows array returns no results","Invalid enum value for 'field' parameter (must be row_count or file_mb)"],"whenToPreferThis":"Choose this endpoint when you have structured dataset partition records with group labels and dates and need both a categorical frequency distribution and a daily aggregated time series in a single $0.01 call. Ideal for data engineers monitoring ETL pipeline outputs, storage audits, or dataset growth tracking. Prefer this over general analytics tools when you need a lightweight, fast, offline-style dual-report with no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.859Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-category-frequencies-daily-sum-series-7ef3d765"}