{"uid":"cap_xKBOEeTl4lpxDkM-DmGJW","slug":"dataset-storage-record-quality-audit-duplicate-key-report-f0281882","name":"Dataset Storage — Record Quality Audit + Duplicate Key Report","description":"Dataset storage — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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-18-003?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_UT0CeMJ0xarsiHCVPkjRR","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 local analytical reports on supplied dataset storage records: a record quality audit and a duplicate key detection report, covering up to 200 rows of used_mb and row_count data.","exampleAgentPrompt":"Can you audit these dataset storage records for quality issues and duplicate keys? I have up to 50 rows with fields like row_id, dataset_group, date, used_mb, and row_count — I want both a record quality audit and a duplicate key report.","exampleUseCases":[{"title":"Catch duplicate rows before ETL pipeline","prompt":"Before I run my ETL pipeline, can you check these 120 dataset storage records for duplicate row_ids and flag any quality issues in the used_mb and row_count columns? Here's the data with row_id, dataset_group, date, used_mb, and row_count fields."},{"title":"Monthly storage data integrity check","prompt":"I need to audit my monthly dataset storage report — I have 80 rows with dataset_group, date, used_mb, and row_count. Can you run a record quality audit and tell me if there are any duplicate keys or data problems?"},{"title":"Validate migrated dataset records","prompt":"We just migrated our storage records to a new system and I want to verify the data landed correctly. Can you run a quality audit and duplicate key check on these 200 rows? Each row has a row_id, dataset_group, date, used_mb, and row_count."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as null values, out-of-range figures, or malformed fields in used_mb and row_count columns; and (2) a duplicate key report identifying any rows sharing the same key fields (e.g. row_id or dataset_group+date combinations). No external lookups are performed — all analysis is local.","failureModes":["Rows array is empty or missing — validation error returned","Row count exceeds 200 — request rejected with limit error","Required fields (row_id, dataset_group, date, used_mb, row_count) missing from one or more rows — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected","row_id or dataset_group string exceeds 80 characters — rejected","Numeric fields outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, offline (no external lookup) quality and deduplication analysis for dataset storage records specifically containing used_mb and row_count metrics. It is especially useful as a pre-pipeline validation step or post-migration integrity check. Prefer this over generic data quality tools when your records conform to the row_id/dataset_group/date/used_mb/row_count schema and you need both quality and duplicate reports in a single cheap call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T16:28:57.275Z","isFirstParty":false,"canonicalSlug":"dataset-storage-record-quality-audit-duplicate-key-report-f0281882"}