{"uid":"cap_x1YXRBl5e-t7yra_4M8s4","slug":"dataset-storage-analytics-daily-sum-series-date-by-category-pivot-c3936062","name":"Dataset Storage Analytics — Daily Sum Series & Date-by-Category Pivot","description":"Dataset storage — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-18-143?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_h7pH5L1cb-7wfcBl_uRIo","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 two analytical reports on dataset storage records: a daily sum time series and a date-by-category pivot table, for up to 200 supplied rows.","exampleAgentPrompt":"Can you run a daily sum series and a date-by-category pivot on my dataset storage records — I have data with dates, used_mb, and row_count values across groups like 'group-a' and 'group-b', and I want to analyze the used_mb field across up to 200 rows?","exampleUseCases":[{"title":"Storage growth trend by day","prompt":"I have a list of dataset storage records with dates and used_mb values across different dataset groups — can you give me a daily sum series so I can see how total storage is growing over time? Use the used_mb field."},{"title":"Category breakdown pivot table","prompt":"I need a date-by-category pivot of my dataset storage records — I want to see used_mb broken down by dataset_group for each date so I can compare how different groups consume storage across days."},{"title":"Row count analytics for dataset audit","prompt":"Can you run both a daily sum series and a pivot table on my dataset storage data using the row_count field? I have about 150 rows with dates and groups, and I want to spot which days and categories have the highest row counts."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing totals of the selected metric (used_mb or row_count) aggregated per date, and (2) a date-by-category pivot table showing the selected metric broken down by dataset_group for each date. Both reports are computed locally from the supplied row data (no external lookups).","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors","Invalid date format (must be YYYY-MM-DD) results in a schema validation error","Null values in the selected metric field may affect aggregation totals","Empty input array (minItems: 1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you have raw dataset storage records (with dates, groups, and numeric metrics) and need two pre-built analytical views — a daily aggregate time series and a cross-tabulated category pivot — in a single low-cost call. Ideal for exploratory storage analytics on up to 200 rows where you supply the data directly and need no live data fetch, prediction, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:51.026Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-daily-sum-series-date-by-category-pivot-c3936062"}