{"uid":"cap_VDlxBs7slhxdoyK6Bd0pJ","slug":"dataset-storage-analytics-string-normalisation-daily-sum-series-65c85750","name":"Dataset Storage Analytics — String Normalisation + Daily Sum Series","description":"Dataset storage — String normalisation + Daily sum series: String normalisation + Daily sum 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-18-027?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_JpOnjbCTKGoZlOnYudL2h","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":"Runs two analytical reports on dataset storage records: string normalisation of group labels and a daily sum time series for a chosen numeric metric (used_mb or row_count), covering up to 200 rows.","exampleAgentPrompt":"Take my dataset storage records — groups like 'group-a' and 'group-b' with dates and used_mb values — normalise the group name strings, and give me a daily sum series for used_mb across all the rows I'm supplying.","exampleUseCases":[{"title":"Daily storage growth trend report","prompt":"I have 150 dataset storage records with dates, group names, and used_mb values — can you normalise the group labels and show me the daily total used_mb summed up day by day so I can see storage growth over time?"},{"title":"Row count aggregation by date","prompt":"Here are my dataset storage records with row_count and date fields — please normalise the dataset_group strings and compute the daily sum of row_count so I can see how many rows were processed each day."},{"title":"Storage audit with cleaned group labels","prompt":"My storage logs have inconsistent dataset_group names and I need both a cleaned normalised version of those labels and a daily sum series for used_mb — can you run both reports on these 80 rows I'm providing?"}],"resultDescription":"Returns two reports: (1) a string normalisation report that standardises dataset_group label formatting across all supplied rows, and (2) a daily sum time series showing the chosen metric (used_mb or row_count) aggregated per calendar date, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes validation error","Invalid date format (not YYYY-MM-DD) fails schema validation","Invalid field enum value (not 'used_mb' or 'row_count') causes rejection","Null numeric values may affect sum calculations for affected dates"],"whenToPreferThis":"Choose this endpoint when you have tabular dataset storage records and need both string normalisation of group labels and a daily aggregated sum time series in a single low-cost call ($0.01 USDC for both reports). It is best suited for offline/batch analytical workflows on supplied data up to 200 rows, where no live data lookup, external enrichment, or predictive modelling is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:40:09.618Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-string-normalisation-daily-sum-series-65c85750"}