{"uid":"cap_BrjAvlfXBtH9oVICoOg61","slug":"dataset-storage-analytics-record-quality-audit-exact-row-5b0e2753","name":"Dataset Storage Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Distribution","description":"Dataset storage — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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-18-210?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_qvp6yUQ4GDROxwH-1xKOE","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, exact row deduplication, and numeric distribution) on up to 200 supplied dataset storage records containing used_mb and row_count fields.","exampleAgentPrompt":"Can you run a quality audit, exact duplicate check, and numeric distribution analysis on my dataset storage records — here are up to 200 rows with used_mb and row_count values — and analyze the used_mb field for the distribution report?","exampleUseCases":[{"title":"Storage log quality audit before migration","prompt":"I have 150 dataset storage records from last quarter with columns like row_id, dataset_group, date, used_mb, and row_count — can you run a record quality audit, find any exact duplicate rows, and show me the numeric distribution for used_mb?"},{"title":"Deduplication check on ingested dataset records","prompt":"Before I load these 80 storage records into our data warehouse, can you check them for exact duplicate rows, flag any quality issues, and give me a distribution breakdown of the row_count field?"},{"title":"Monthly storage usage distribution report","prompt":"I've got my monthly dataset storage logs — about 120 rows — can you audit them for data quality problems, deduplicate any identical rows, and generate a numeric distribution report on used_mb so I can see how storage is spread across groups?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness, format, and validity issues; (2) an exact row deduplication report identifying identical records; and (3) a numeric distribution summary for the selected field (used_mb or row_count), all computed locally against the supplied dataset rows.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null or extreme numeric values may affect distribution statistics","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records and need all three analytical operations (quality audit, deduplication, and numeric distribution) in a single low-cost call. Ideal for pre-ingestion data validation, periodic storage log reviews, or lightweight ETL quality checks where no external lookups, predictions, or live data is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:09.121Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-record-quality-audit-exact-row-5b0e2753"}