{"uid":"cap_6nnLLn5GRqn1tmPm8G3lE","slug":"dataset-partition-sizes-duplicate-key-report-date-by-category-pivot-113df2d3","name":"Dataset Partition Sizes — Duplicate Key Report + Date by Category Pivot","description":"Dataset partition sizes — Duplicate key report + Date by category pivot: Duplicate key report + 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-07-068?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_6DOLifD-CrKqXX4EP97TQ","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 up to 200 dataset partition size records to produce two analytical reports: a duplicate key report and a date-by-category pivot table for row_count or file_mb.","exampleAgentPrompt":"Can you run a duplicate key check and a date-by-category pivot on my dataset partition sizes? Here are up to 200 rows with row_id, dataset_group, date, row_count, and file_mb — I want to pivot on row_count.","exampleUseCases":[{"title":"Data warehouse partition audit","prompt":"I have a list of 150 dataset partitions with their row counts and file sizes — can you check for duplicate row IDs and also give me a pivot of row_count by date and dataset_group so I can spot any anomalies?"},{"title":"Storage usage summary by team","prompt":"Here are the daily partition size records for our data platform, each tagged with a dataset_group and date — run the duplicate key report and pivot file_mb by date and category so I can see which groups are growing fastest."},{"title":"ETL pipeline data quality check","prompt":"After our nightly ETL run I have 80 partition size records I need to validate — can you flag any duplicate row IDs and show me a date-by-category breakdown of row_count to confirm everything looks consistent?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied partition records, and (2) a date-by-category pivot table cross-tabulating the chosen numeric field (row_count or file_mb) by date and dataset_group. Both reports are computed locally without external lookups.","failureModes":["Input rows array is empty or missing — returns validation error","row_id, dataset_group, or date fields missing from one or more rows — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected row or error","More than 200 rows submitted — request rejected due to maxItems limit","Invalid value for 'field' enum (must be row_count or file_mb) — validation error","Payment of 0.01 USDC not included or invalid — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key integrity check and a date-by-category pivot on dataset partition size records (row_count or file_mb) in a single low-cost call. It is ideal for data engineers auditing ETL outputs or partition metadata without needing a live database connection, external ML prediction, or professional assessment — just local analytical computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:43.790Z","isFirstParty":false,"canonicalSlug":"dataset-partition-sizes-duplicate-key-report-date-by-category-pivot-113df2d3"}