{"uid":"cap_bk5F3uuj2WKOQZ4vlZiso","slug":"dataset-storage-analytics-numeric-distribution-daily-sum-series-e31a04d9","name":"Dataset Storage Analytics: Numeric Distribution + Daily Sum Series","description":"Dataset storage — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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-18-075?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_Z0-8aVhDfYTAejmrNA_iF","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 daily sum time series for dataset storage records (used_mb, row_count) from up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze these dataset storage records and give me both a numeric distribution breakdown and a daily sum time series for used_mb? I have about 50 rows with date, row_id, used_mb, row_count, and dataset_group fields.","exampleUseCases":[{"title":"Storage growth audit over time","prompt":"I have 120 dataset storage records spanning the last quarter — each has a date, dataset group, used_mb, and row_count. Can you give me a daily sum series for used_mb so I can see how total storage has grown day by day?"},{"title":"Row count distribution analysis","prompt":"Here are 80 records from my dataset catalog with row_id, dataset_group, date, used_mb, and row_count. I want to understand the numeric distribution of row_count — things like spread, percentiles, and frequency — can you run that analysis?"},{"title":"Multi-group storage reporting","prompt":"I've got dataset storage logs from two groups, group-a and group-b, covering about 150 rows from the past month. Can you produce both a distribution report and a daily sum series for used_mb so I can compare patterns between the groups?"}],"resultDescription":"Two analytical reports computed locally from the supplied rows: (1) a numeric distribution report showing statistical spread (e.g. percentiles, min, max, mean) for the chosen field (used_mb or row_count), and (2) a daily sum time series aggregating the chosen field by date — all derived from the up to 200 input records with no external data lookups.","failureModes":["Fewer than 1 row supplied — minimum input requirement not met","More than 200 rows supplied — exceeds maximum row limit","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row","Invalid field selector — must be 'used_mb' or 'row_count'","Payment not provided or insufficient — endpoint requires $0.01 USDC via x402"],"whenToPreferThis":"Choose this endpoint when you have raw dataset storage records (with used_mb and row_count fields) and need both a distribution summary and a daily aggregation in a single low-cost call. It is ideal for batch analytical reporting on up to 200 pre-collected rows without needing live data lookup, prediction, or external enrichment. Prefer it over general-purpose analytics when the data is already structured with the required schema fields and you want two reports for the price of one.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:38.851Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-distribution-daily-sum-series-e31a04d9"}