{"uid":"cap_azWl6F8I4lR_GBQnsEgXZ","slug":"dataset-storage-analytics-numeric-interval-filter-base-100-series-f8e6ed5a","name":"Dataset Storage Analytics — Numeric Interval Filter + Base-100 Series","description":"Dataset storage — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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-18-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_FVtwSnYoUWkuzGGZkkQMJ","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":"Filters dataset storage rows (used_mb or row_count) by a numeric interval and computes a base-100 index series for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have 150 dataset storage records with used_mb and row_count columns — can you filter the ones where used_mb is between 50 and 800, and also generate a base-100 index series anchored to row 0 for those records?","exampleUseCases":[{"title":"Storage quota monitoring by group","prompt":"Here are my 120 dataset storage rows with used_mb values — filter out anything below 100 MB or above 5000 MB, and give me a base-100 index series starting from row 0 so I can track relative growth across my dataset groups."},{"title":"Row count trend normalization","prompt":"I've got 80 records tracking row_count across different dataset groups by date — can you filter the ones with row_count between 1000 and 50000, and index them to base 100 starting from row 2 so I can compare growth rates?"},{"title":"Outlier removal before reporting","prompt":"Before I build my storage report, I need to strip out any rows where used_mb is outside 0 to 10000, and then get a base-100 series anchored at row 0 for the cleaned data — I have about 60 rows to process."}],"resultDescription":"Returns two analytical reports: (1) rows filtered to the specified numeric interval for the chosen field (used_mb or row_count), and (2) a base-100 index series for those rows anchored at the specified base_index row, 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) in any row — validation error","field value not in enum ['used_mb','row_count'] — schema error","minimum greater than maximum — may return empty filter result","base_index out of bounds for provided row count — error or unexpected output","Null values in the selected numeric field may affect interval filtering and indexing"],"whenToPreferThis":"Use this endpoint when you have up to 200 dataset storage records and need both a numeric range filter and a base-100 normalization series computed together in a single call, especially for used_mb or row_count fields. Prefer it over general analytics tools when working within the dataset storage domain and when you need two bundled reports at low cost without any external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:01.152Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-interval-filter-base-100-series-f8e6ed5a"}