{"uid":"cap_4Y4zXHbFjuOUIhadXlGeV","slug":"dataset-storage-analytics-numeric-row-ordering-date-by-category-pivot-05641468","name":"Dataset Storage Analytics — Numeric Row Ordering + Date by Category Pivot","description":"Dataset storage — Numeric row ordering + Date by category pivot: Numeric row ordering + 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-18-122?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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_OYBA5HhFJf3JTUKuEwa6O","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":"Performs two analytical reports on dataset storage records: numeric row ordering by a chosen metric and a date-by-category pivot table, for up to 200 rows of supplied data.","exampleAgentPrompt":"Can you run a numeric row ordering and date-by-category pivot on my dataset storage records — here are up to 200 rows with row_id, dataset_group, date, used_mb, and row_count — and sort everything by used_mb?","exampleUseCases":[{"title":"Storage usage ranking across groups","prompt":"I have a list of dataset storage records with used_mb and row_count values for different groups across dates — can you sort them numerically by used_mb and also pivot the usage by date and group so I can see which groups are consuming the most storage?"},{"title":"Row count trend by category","prompt":"Take these dataset storage records and give me two reports: one that orders the rows numerically by row_count, and one that pivots row_count across dates and dataset groups so I can spot trends by category."},{"title":"Monthly storage audit by dataset group","prompt":"I need to audit our dataset storage for October 2026 — here are 150 rows with group names, dates, and storage metrics. Can you rank them by used_mb and also show me a date-by-category pivot so I can see how each group's storage changed day by day?"}],"resultDescription":"Two analytical reports on the supplied dataset storage rows: (1) a numeric row ordering ranking rows by the chosen field (used_mb or row_count), and (2) a date-by-category pivot table showing the selected metric broken down by date and dataset_group. No external data is fetched; all analysis is performed on the submitted rows.","failureModes":["Missing required row fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Invalid field enum value (anything other than 'used_mb' or 'row_count') causes rejection","Empty rows array (minItems: 1 not satisfied) returns an error","Null values for used_mb or row_count are accepted but may affect ordering results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records with used_mb and row_count fields and need both a ranked ordering and a date-by-category pivot in a single low-cost call. Ideal for storage audits and reporting pipelines where you supply your own data and need two complementary analytical views without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.600Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-row-ordering-date-by-category-pivot-05641468"}