{"uid":"cap_FBbc6C6Pnq67bET5o9A1D","slug":"dataset-partition-sizes-date-category-pivot-missing-value-fill-ae9e4a4e","name":"Dataset Partition Sizes — Date×Category Pivot + Missing-Value Fill","description":"Dataset partition sizes — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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-07-189?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_lzZl18yjaB7sHANRNfsCj","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":"Produces two analytical reports from dataset partition records: a date-by-category pivot table and an explicit missing-value fill, for up to 200 rows of row_count or file_mb data.","exampleAgentPrompt":"I have partition size records for a few dataset groups across dates in October 2026 — can you pivot the row_count values by date and category, and fill any missing values using median?","exampleUseCases":[{"title":"Storage audit across dataset groups","prompt":"I've got up to 150 partition records with dataset_group, date, and file_mb values — can you pivot the file_mb by date and category and fill any gaps with the mean so I can see which groups are growing?"},{"title":"Data quality check on row counts","prompt":"I have partition records for groups A through D across 30 days and some row_count values are null — please pivot them by date and group, filling missing values with zero so I can spot incomplete loads."},{"title":"Monthly partition trend analysis","prompt":"Here are 200 rows of dataset partition sizes with groups and daily dates — pivot the row_count field by date and dataset_group and use median fill for any blanks, I want to see the shape of data across both dimensions."}],"resultDescription":"Two analytical reports: (1) a pivot table with dates as rows and dataset_group values as columns, showing the selected metric (row_count or file_mb); (2) the same records with missing values explicitly filled using the chosen method (zero, mean, or median). Both computed locally without external data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, row_count, file_mb) on any row — validation error","Date strings not matching YYYY-MM-DD pattern — schema rejection","Numeric values outside allowed range — validation error","Empty rows array — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset partition records (with row_count or file_mb metrics) and need both a date×category pivot and explicit missing-value imputation in a single low-cost call. It is ideal for data engineering pipelines that need to inspect partition distributions over time across dataset groups, without requiring a live database or external analytics service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.242Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-date-category-pivot-missing-value-fill-ae9e4a4e"}