{"uid":"cap_HCVEGFFUCiWSTmgGQshRk","slug":"dataset-partition-sizes-exact-row-deduplication-date-by-category-pivot-9ab81fe1","name":"Dataset Partition Sizes — Exact Row Deduplication + Date by Category Pivot","description":"Dataset partition sizes — Exact row deduplication + Date by category pivot: Exact row deduplication + 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-07-052?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"}}},"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_hru1QnUclo-9hjQw5Ul0r","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":"Runs two analytical reports on dataset partition size records: exact row deduplication and a date-by-category pivot of row_count or file_mb values, for up to 200 supplied rows.","exampleAgentPrompt":"I have a list of dataset partition records with row_id, dataset_group, date, row_count, and file_mb — can you deduplicate the exact duplicate rows and then give me a pivot of row_count by date and dataset group? Here are the rows: [{\"row_id\":\"row-1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"row_count\":10,\"file_mb\":1},{\"row_id\":\"row-2\",\"dataset_group\":\"group-b\",\"date\":\"2026-10-02\",\"row_count\":20,\"file_mb\":2}].","exampleUseCases":[{"title":"Clean duplicate partition logs before reporting","prompt":"I've got a batch of dataset partition size records that may have exact duplicate rows — can you deduplicate them and also give me a pivot of file_mb by date and dataset_group? Here are up to 200 rows with row_id, dataset_group, date, row_count, and file_mb."},{"title":"Cross-tab row counts by date and team","prompt":"I need to see how row_count is distributed across different dataset groups for each date in my partition size data — can you deduplicate the records first and then produce a date-by-category pivot table for row_count?"},{"title":"Audit storage growth across dataset partitions","prompt":"Can you take my dataset partition size records and run two reports: one that removes exact duplicate rows, and another that pivots file_mb by date and dataset_group so I can see storage trends across groups?"}],"resultDescription":"Returns two reports: (1) a deduplicated set of the supplied partition size rows with exact duplicates removed, and (2) a pivot table cross-tabulating the selected metric (row_count or file_mb) by date and dataset_group category — all computed locally with no external lookups.","failureModes":["Input array is empty or exceeds 200 rows — rejected with validation error","date field does not match YYYY-MM-DD pattern — row rejected or error returned","row_id is missing or empty — validation failure","field enum value is not 'row_count' or 'file_mb' — request rejected","All rows are duplicates, resulting in empty deduplicated output","Numeric fields (row_count, file_mb) are null for all rows, producing empty pivot","Payment of 0.01 USDC not completed — request blocked by x402 paywall"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a date-by-category pivot on dataset partition size records (row_count and/or file_mb) in a single low-cost call. It is ideal for data engineers auditing partition logs, cleaning ETL output, or summarizing storage metrics across groups over time. Prefer this over general-purpose analytics tools when working with small-to-medium batches (up to 200 rows) and you want both a cleaned deduplicated dataset and a cross-tab pivot in one operation for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:34.730Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-exact-row-deduplication-date-by-category-pivot-9ab81fe1"}