{"uid":"cap_Y5ITOIUfqHYK9Qe2ysjS5","slug":"dataset-storage-analytics-string-normalisation-numeric-distribution-1cac513d","name":"Dataset Storage Analytics — String Normalisation + Numeric Distribution","description":"Dataset storage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-18-022?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_XfYU2VVTLP_5EZsg5Fzf5","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 storage records, producing a string normalization report and a numeric distribution report for either used_mb or row_count fields.","exampleAgentPrompt":"Can you analyze my dataset storage records — I have about 50 rows with dataset_group labels, dates, used_mb, and row_count values — and give me a string normalization report on the groups plus a numeric distribution breakdown for used_mb?","exampleUseCases":[{"title":"Storage usage distribution audit","prompt":"I have 120 dataset storage records with group names, dates, and used_mb values — can you run a string normalization on the group labels and show me how used_mb is distributed across all rows?"},{"title":"Row count distribution for capacity planning","prompt":"Here are 80 rows of dataset storage data with row_id, dataset_group, date, and row_count fields — please normalize the group strings and give me a numeric distribution report on row_count so I can plan capacity."},{"title":"Data quality check on storage records","prompt":"I want to clean up my dataset storage tracking — can you take these 30 records with dataset_group, used_mb, and row_count and produce a string normalization report on the groups plus a distribution breakdown for used_mb?"}],"resultDescription":"Returns two analytical reports: (1) a string normalization report summarizing the dataset_group field values (e.g. casing, whitespace, deduplication), and (2) a numeric distribution report (e.g. min, max, mean, percentiles, bucket frequencies) for the selected numeric field (used_mb or row_count) across up to 200 input rows. All analysis is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Invalid field enum value (not 'used_mb' or 'row_count') causes rejection","All numeric values are null — distribution report may be empty or return no statistics","Payment not attached or insufficient — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you need quick, local statistical analysis of dataset storage records (up to 200 rows) combining string normalization of group labels with numeric distribution of either used_mb or row_count — at a flat cost of $0.01 USDC per call covering both reports. Prefer this over general-purpose analytics tools when you specifically have structured storage records with these fields and want both text normalization and distribution in a single call without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:05.707Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-string-normalisation-numeric-distribution-1cac513d"}