{"uid":"cap_89sPFaztH9w9jzkuFdurl","slug":"dataset-storage-analytics-numeric-distribution-keyed-dataset-comparison-c8c52b36","name":"Dataset Storage Analytics — Numeric Distribution + Keyed Dataset Comparison","description":"Dataset storage — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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-18-084?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":17,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":33,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_5t8m3tyhmD0IUFJoUbpFD","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 a keyed dataset comparison for two sets of dataset storage records (used_mb or row_count), returning two analytical reports for up to 200 rows each.","exampleAgentPrompt":"Can you run a numeric distribution and keyed comparison on these two sets of dataset storage records — analyzing the used_mb field — I'll supply two arrays of up to 200 rows each with row_id, dataset_group, date, used_mb, and row_count?","exampleUseCases":[{"title":"Storage usage distribution audit","prompt":"I have up to 150 dataset storage records with used_mb and row_count values — can you compute the numeric distribution of used_mb across all rows so I can see the spread, percentiles, and any skew in our storage usage?"},{"title":"Comparing two storage snapshots","prompt":"I have two snapshots of our dataset storage — each with row_id, dataset_group, date, used_mb, and row_count — can you do a keyed comparison on the used_mb field to see which rows changed between the two?"},{"title":"Row count distribution across dataset groups","prompt":"Here are 200 dataset storage records from two different groups — can you run a numeric distribution report on the row_count field and compare the two groups side by side to see how row counts differ?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, median, percentiles, histogram buckets) for the selected field (used_mb or row_count) across the supplied rows; and (2) a keyed dataset comparison report matching records from the two input arrays by row_id and reporting differences in the selected metric. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Input rows array empty or missing — returns validation error","More than 200 rows supplied — rejected with max-items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value other than 'used_mb' or 'row_count' specified — enum rejection","Null values in the selected numeric field may reduce statistical accuracy","Row IDs not matching between 'rows' and 'other' arrays results in sparse or empty comparison report"],"whenToPreferThis":"Choose this endpoint when you have pre-collected dataset storage records (with used_mb and row_count fields) and need both a numeric distribution summary and a keyed row-by-row comparison between two datasets in a single $0.01 call. It is ideal for data engineers or analytics agents auditing storage growth or comparing two time-period snapshots without needing a live database connection or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.550Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-distribution-keyed-dataset-comparison-c8c52b36"}