{"uid":"cap_01Od5f0w9Y5nh9VcL_BfY","slug":"dataset-partition-sizes-equal-width-histogram-date-by-category-pivot-4aad0c0d","name":"Dataset Partition Sizes — Equal-Width Histogram + Date by Category Pivot","description":"Dataset partition sizes — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied dataset partition sizes records (row_count, file_mb). 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-07-173?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","row_count","file_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"file_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","file_mb":1,"row_count":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","file_mb":2,"row_count":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","file_mb":3,"row_count":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","file_mb":4,"row_count":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["row_count","file_mb"],"type":"string","default":"row_count"}}},"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_4Mj9lIaB38jRBuS0cwWgQ","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":"Analyzes dataset partition size records (row_count, file_mb) by generating an equal-width histogram and a date-by-category pivot table in a single API call.","exampleAgentPrompt":"Run an equal-width histogram with 10 bins on the row_count field and a date-by-category pivot for these dataset partition records: row-1 is group-a on 2024-01-01 with 50000 rows and 120.5 MB, row-2 is group-b on 2024-01-01 with 80000 rows and 200.0 MB, row-3 is group-a on 2024-01-02 with 45000 rows and 110.0 MB.","exampleUseCases":[{"title":"Data lake partition size audit","prompt":"I have 150 dataset partitions with row counts and file sizes — can you run a 10-bin equal-width histogram on file_mb and also pivot the file sizes by date and dataset group so I can see how storage is distributed across teams over time?"},{"title":"ETL pipeline output monitoring","prompt":"After our nightly ETL jobs, I want to check if the row counts across our output partitions are evenly distributed — run a histogram with 5 bins on row_count and show me a date-by-category pivot for these partition records so I can spot any lopsided groups."},{"title":"Storage growth trend by category","prompt":"Can you analyze these dataset partition records using a 15-bin histogram on file_mb and give me a date-by-category pivot on file_mb so I can see which dataset groups are growing fastest week over week?"}],"resultDescription":"Two independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the chosen field (row_count or file_mb) across up to 30 configurable bins, and (2) a date-by-category pivot table aggregating the field values across dataset_group and date dimensions — both computed locally from the supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","bins value outside 1–30 range — validation error","Missing required fields (row_id, dataset_group, date, row_count, file_mb) — schema error","All null values in selected field — histogram may be empty or degenerate","Payment failure via x402 protocol — request not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset partition records with row counts and file sizes and need both a frequency histogram AND a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for data engineers monitoring partition balance, storage growth, or ETL output quality without standing up local analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:29.691Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-equal-width-histogram-date-by-category-pivot-4aad0c0d"}