{"uid":"cap_ZvBg0TaUKWsmX_jfSDrYb","slug":"dataset-storage-analytics-record-quality-audit-string-normalisation-700159a6","name":"Dataset Storage Analytics — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Dataset storage — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-18-198?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_4DtI5uBTzA1YcopCTxr88","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 three local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 dataset storage rows containing used_mb and row_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation check, and daily sum series on these dataset storage records? I have up to 50 rows with used_mb and row_count fields grouped by dataset_group, and I want the daily sum series computed on used_mb.","exampleUseCases":[{"title":"Storage usage daily rollup","prompt":"I have 120 rows of daily storage snapshots with used_mb and dataset_group fields — can you run the daily sum series report on used_mb so I can see total consumption per day?"},{"title":"Dataset group name normalisation check","prompt":"My dataset records have a dataset_group column that might have inconsistent capitalization or whitespace — can you run the string normalisation report on these 80 rows so I can clean them up?"},{"title":"Record completeness quality audit","prompt":"Before I load these 150 dataset storage rows into our warehouse, can you run a record quality audit on them to flag any missing row_ids, nulls in row_count, or malformed dates?"}],"resultDescription":"Three structured analytical reports: (1) a record quality audit flagging completeness, formatting, and validity issues per row; (2) a string normalisation report identifying and standardising inconsistencies in string fields like dataset_group; (3) a daily sum series aggregating the selected numeric field (used_mb or row_count) by date. All computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Field selector not one of 'used_mb' or 'row_count' — enum validation error","Empty rows array — minimum items constraint violation","Payment of 0.01 USDC not included — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical reports (quality audit, string normalisation, and daily sum series) on dataset storage records in a single $0.01 call, without requiring any external data lookups or live predictions. Ideal for pre-ingestion data validation and summarization of storage metrics up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:43:36.455Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-record-quality-audit-string-normalisation-700159a6"}