{"uid":"cap_ZGFil0dr9bmu7L0yX45Vb","slug":"dataset-storage-analytics-string-normalisation-category-frequencies-5a195478","name":"Dataset Storage Analytics: String Normalisation + Category Frequencies","description":"Dataset storage — String normalisation + Category frequencies: String normalisation + Category frequencies 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-18-024?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}}},"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_HTb1VliBP2K1aKdacEUVa","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 (used_mb, row_count) to produce string normalization and category frequency reports using local analytical engines.","exampleAgentPrompt":"Can you run string normalization and category frequency analysis on my dataset storage records? Here are the rows: row-1 dated 2026-10-01, dataset_group group-a, used_mb 10, row_count 1; row-2 dated 2026-10-02, dataset_group group-b, used_mb 20, row_count 2; row-3 dated 2026-10-03, dataset_group group-a, used_mb 15, row_count 3.","exampleUseCases":[{"title":"Storage audit by dataset group","prompt":"I have 50 storage log entries with dataset_group labels, used_mb, and row_count for each date in October — can you normalize the group names and give me a frequency breakdown of how often each group appears?"},{"title":"Data quality check on category labels","prompt":"I've got a batch of dataset records with inconsistent dataset_group strings and I need to normalize them and see the category frequency distribution — here are the rows with their row IDs, dates, used_mb, and row_count values."},{"title":"Monthly storage distribution summary","prompt":"Can you analyze these 120 dataset storage records from last month and tell me the normalized category names and how frequently each dataset_group shows up, along with the used_mb and row_count breakdown?"}],"resultDescription":"Returns two analytical reports per call: (1) a string normalization report on the dataset_group and other string fields across the submitted rows, and (2) a category frequency report showing how often each unique category value appears across up to 200 storage records. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","row_id exceeds 80 character maxLength — validation error","Malformed JSON array in rows field — parse error"],"whenToPreferThis":"Choose this endpoint when you need both string normalization and category frequency analysis on dataset storage records (used_mb, row_count) in a single low-cost call. Ideal for batches up to 200 rows where you want offline/local computation with no external API dependencies. At $0.01 USDC for two reports, it is cost-effective for routine data quality checks and storage audits on dataset group metadata.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:43:48.948Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-string-normalisation-category-frequencies-5a195478"}