{"uid":"cap_vdQBbcgALdaRQXhg6IRby","slug":"dataset-storage-analytics-string-normalisation-secondary-measure-5a76ce87","name":"Dataset Storage Analytics — String Normalisation + Secondary-Measure Weighted Mean","description":"Dataset storage — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-18-034?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_do7RgyGX1CRU8CCsuiz1g","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 string normalisation and secondary-measure weighted mean calculations on up to 200 dataset storage records (used_mb, row_count), returning 2 analytical reports.","exampleAgentPrompt":"Can you run string normalisation and weighted mean analytics on these dataset storage records — I have 4 rows across groups 'group-a' and 'group-b' with used_mb values of 10, 20, 15, and 30, and row_counts of 1, 2, 3, 4, dated 2026-10-01 through 2026-10-04, and I want the weighted mean computed on the used_mb field?","exampleUseCases":[{"title":"Storage usage weighted mean by group","prompt":"I have 50 dataset storage rows with used_mb and row_count values across three groups — can you compute a weighted mean on used_mb for all of them and also give me a string normalisation report?"},{"title":"Audit dataset row counts across dates","prompt":"Run string normalisation and secondary-measure weighted mean analytics on my 120 dataset storage records, using row_count as the field, grouped by dataset_group over the last quarter."},{"title":"Compare storage metrics across two groups","prompt":"I want two analytical reports — string normalisation plus weighted mean — for my dataset storage data covering groups 'prod' and 'staging' with their used_mb and row_count figures for each date this month."}],"resultDescription":"Returns 2 analytical reports: a string normalisation report and a secondary-measure weighted mean report, computed locally from the supplied dataset storage rows (up to 200), covering the selected numeric field (used_mb or row_count). No external data is fetched.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, used_mb, or row_count) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field enum value not 'used_mb' or 'row_count' — rejected","Numeric values outside allowed range — rejected","Empty rows array — rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical computation over dataset storage records — specifically string normalisation combined with a secondary-measure weighted mean — without any external lookups, predictions, or live data. Best suited for small-to-medium batches (up to 200 rows) where you want two distinct analytical reports in a single cheap call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:07.111Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-string-normalisation-secondary-measure-5a76ce87"}