{"uid":"cap_XjHbJHEhnIzZkE0e2t6Vl","slug":"dataset-storage-analytics-record-quality-audit-exact-row-fa67e0e1","name":"Dataset Storage Analytics: Record Quality Audit + Exact Row Deduplication + Daily Sum Series","description":"Dataset storage — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + 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-18-215?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_ElufEzFqcGnUio6CQMFzU","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 independent analytical reports — record quality audit, exact row deduplication, and daily sum series — on up to 200 dataset storage records (used_mb or row_count fields).","exampleAgentPrompt":"Can you run a quality audit, deduplicate exact rows, and compute a daily sum series on these dataset storage records — I have about 50 rows with date, row_id, dataset_group, used_mb, and row_count fields, and I want the analysis on the used_mb field?","exampleUseCases":[{"title":"Storage usage daily rollup","prompt":"I have 120 rows of dataset storage logs with dates, group names, and used_mb values — can you compute a daily sum series on used_mb so I can see total storage consumed per day?"},{"title":"Pre-load deduplication check","prompt":"Before I load these 80 dataset storage records into our warehouse, can you run an exact row deduplication report to find any duplicate entries across row_id, dataset_group, date, and used_mb?"},{"title":"Data quality audit for row_count","prompt":"Can you audit the data quality of these 60 dataset storage records and flag any missing, null, or out-of-range values in the row_count field?"}],"resultDescription":"Returns three independent analytical report sections: (1) a record quality audit flagging nulls, missing fields, and anomalies; (2) an exact row deduplication report identifying duplicate records; and (3) a daily sum series aggregating the chosen metric (used_mb or row_count) by date — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Missing required fields (row_id, dataset_group, date) on any row — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Invalid field selector (not 'used_mb' or 'row_count') — enum validation error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you need all three analytical operations — quality audit, deduplication, and daily aggregation — run together in a single call on a batch of up to 200 dataset storage records, without needing live data lookup or external predictions. It is cost-effective ($0.01 USDC for all three reports) and ideal for pre-load validation pipelines or periodic data health checks on storage metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:50.287Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-record-quality-audit-exact-row-fa67e0e1"}