{"uid":"cap_Y1S9L4L3sfyIZe_r4dZOk","slug":"dataset-storage-analytics-equal-width-histogram-date-by-category-pivot-73ee79db","name":"Dataset Storage Analytics: Equal-Width Histogram + Date-by-Category Pivot","description":"Dataset storage — Equal-width histogram + Date by category pivot: Equal-width histogram + 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-18-173?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_i8s8ldVp-ylILYEfCVYqP","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 an equal-width histogram and a date-by-category pivot table for dataset storage metrics (used_mb, row_count) from up to 200 supplied rows.","exampleAgentPrompt":"Can you run a histogram with 10 bins on the used_mb field and also build a date-by-category pivot for these dataset storage rows I'm giving you? Here are up to 200 records with row_id, dataset_group, date, used_mb, and row_count.","exampleUseCases":[{"title":"Storage usage distribution audit","prompt":"I have 150 dataset storage records with used_mb values ranging from a few MB to several GB across different dataset groups. Can you bin the used_mb into 8 equal-width buckets and also pivot the data by date and dataset_group so I can see which groups are consuming the most storage over time?"},{"title":"Row count frequency analysis","prompt":"Can you run an equal-width histogram with 5 bins on the row_count field for my dataset storage records, and also give me a date-by-category pivot table grouped by dataset_group? I'll provide the rows including row_id, date, used_mb, and row_count."},{"title":"Multi-group dataset growth review","prompt":"I've got storage records for three dataset groups over the past quarter — about 200 rows total with dates, used_mb, and row_count. Please compute a 15-bin histogram on used_mb and pivot the data by date and dataset_group so I can spot growth patterns."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram showing bin ranges and frequency counts for the selected numeric field (used_mb or row_count), and (2) a pivot table cross-tabulating dates against dataset_group categories, both computed locally from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, used_mb, or row_count) in any row","Invalid date format (must be YYYY-MM-DD)","bins value outside allowed range (1–30)","Null values in the selected numeric field may affect histogram bin calculation","Invalid field enum value (must be 'used_mb' or 'row_count')"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records and need both a frequency distribution (histogram) and a date-by-category pivot in a single low-cost call. It is ideal for offline/supplied-data analytics where no live database connection or external lookup is needed, and when the metrics of interest are storage size (used_mb) or row counts grouped by dataset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:53.580Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-equal-width-histogram-date-by-category-pivot-73ee79db"}