{"uid":"cap_n4_ujswq8Vy0Lp2U0mFCB","slug":"dataset-storage-analytics-numeric-row-ordering-keyed-dataset-comparison-b678030d","name":"Dataset Storage Analytics — Numeric Row Ordering + Keyed Dataset Comparison","description":"Dataset storage — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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-18-123?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":17,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":33,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_e4HMxsvX35ciawPqyPggl","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":"Ranks dataset storage rows by a chosen numeric field (used_mb or row_count) and compares two datasets by shared key, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two snapshots of my dataset storage table — each up to 200 rows with columns row_id, dataset_group, date, used_mb, and row_count — can you rank the rows by used_mb and also compare the two snapshots side-by-side by row_id?","exampleUseCases":[{"title":"Storage growth comparison between snapshots","prompt":"I have last month's and this month's dataset storage records, each with row_id, dataset_group, date, used_mb, and row_count. Can you rank this month's rows by used_mb and compare both snapshots by row_id to see what changed?"},{"title":"Identifying top row-count datasets","prompt":"Here are up to 200 rows from my dataset registry with row_id, dataset_group, date, used_mb, and row_count fields. Rank them by row_count and also diff them against my baseline snapshot using the row_id as the key."},{"title":"Auditing storage allocation across groups","prompt":"I want to audit storage across my dataset groups — I have two tables of records with used_mb and row_count. Can you order them numerically by used_mb and compare the two tables row-by-row using row_id so I can see which rows were added, removed, or changed?"}],"resultDescription":"Returns two analytical reports: (1) a numeric ordering of the submitted rows ranked by the selected field (used_mb or row_count), and (2) a keyed comparison between the primary and secondary datasets aligned by row_id, highlighting additions, removals, and value differences — all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field selector not one of 'used_mb' or 'row_count' — enum validation error","Empty rows array (minItems: 1 violated) — request rejected","Payment of 0.01 USDC not provided or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering of dataset storage records by a numeric field AND a keyed comparison between two dataset snapshots in a single paid call. It is purpose-built for storage metadata (used_mb, row_count) and operates entirely on supplied data with no external lookups, making it suitable for offline or batch audit workflows where you have two versions of a dataset table and want to surface rank order and row-level deltas simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:50.611Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-row-ordering-keyed-dataset-comparison-b678030d"}