{"uid":"cap_59VkTdcjISJvqKEP8h5r9","slug":"dataset-storage-analytics-numeric-distribution-category-frequencies-5e11bd15","name":"Dataset Storage Analytics — Numeric Distribution & Category Frequencies","description":"Dataset storage — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies for supplied dataset storage records (used_mb, row_count). 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-18-072?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_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","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"}}},"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_q3pcKYIl7d7t7G-hWcIXh","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":"Computes numeric distribution statistics and category frequency counts for up to 200 dataset storage records (used_mb, row_count fields) using local analytical engines.","exampleAgentPrompt":"Can you run a numeric distribution and category frequency analysis on these dataset storage records — I have up to 50 rows with used_mb and row_count fields across groups like 'group-a' and 'group-b', and I want both reports for the used_mb field?","exampleUseCases":[{"title":"Storage usage distribution audit","prompt":"I have 120 dataset storage records with used_mb and row_count values across several dataset groups — can you compute the numeric distribution of used_mb and show me how frequently each dataset_group appears?"},{"title":"Row count spread analysis for capacity planning","prompt":"Here are 80 rows of dataset storage logs. Analyze the distribution of the row_count field and give me a breakdown of how many records belong to each dataset_group so I can plan capacity."},{"title":"Monthly dataset storage profile summary","prompt":"I've got storage records from October 2026 — about 150 rows with used_mb measurements across groups like 'warehouse' and 'archive'. Generate both a numeric distribution report and category frequency report for used_mb."}],"resultDescription":"Returns two analytical reports for the supplied dataset storage rows: (1) a numeric distribution summary for the chosen field (used_mb or row_count) including statistics like min, max, mean, percentiles, and histogram-style buckets; and (2) a category frequency table showing record counts per dataset_group. Both reports are computed locally without external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted causes rejection or truncation","Invalid date format (not YYYY-MM-DD) fails schema validation","Missing required fields (row_id, dataset_group, date) causes row rejection","Invalid field enum value (not 'used_mb' or 'row_count') returns error","All null numeric values in selected field may produce empty distribution"],"whenToPreferThis":"Choose this endpoint when you have raw dataset storage records (with used_mb and row_count metrics) and need both a numeric distribution profile and category frequency breakdown in a single call for up to 200 rows. Ideal for quick statistical profiling of storage logs without setting up a local analytics pipeline. Not suitable for live data fetches, predictions, time-series forecasting, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:39.462Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-distribution-category-frequencies-5e11bd15"}