{"uid":"cap_qoqRGWlbcLmy6snVU9Rhf","slug":"dataset-storage-record-quality-audit-string-normalisation-duplicate-c65da760","name":"Dataset Storage Record Quality Audit, String Normalisation & Duplicate Key Report","description":"Dataset storage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-18-192?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_QP-347mAQrs5Q8MQqMZrJ","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 on supplied dataset storage records (used_mb, row_count): record quality audit, string normalisation, and duplicate key detection — up to 200 rows, no external lookups.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and duplicate key check on these dataset storage records — I have rows with fields like row_id, dataset_group, date, used_mb, and row_count, and I want all three reports back at once?","exampleUseCases":[{"title":"Storage usage data integrity check","prompt":"I have about 150 rows of storage usage records with fields for row_id, dataset_group, date, used_mb, and row_count — can you audit their quality, normalise the string fields, and flag any duplicate row IDs for me?"},{"title":"Duplicate dataset group key detection","prompt":"Before I merge these dataset storage records into our main table, can you run a duplicate key report and quality audit on them? There are around 80 rows with used_mb and row_count values that I want checked."},{"title":"Pre-pipeline string normalisation","prompt":"I need to clean up the dataset_group and row_id strings in my storage records before ingestion — can you run the string normalisation report plus the quality audit on these 60 rows so I know what needs fixing?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in used_mb and row_count fields; (2) a string normalisation report highlighting inconsistencies or format issues in string fields like row_id and dataset_group; and (3) a duplicate key report identifying any repeated row_id or key combinations across the supplied rows.","failureModes":["Rows array exceeds 200 items — request will be rejected","Missing required fields (row_id, dataset_group, date, used_mb, row_count) in any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Empty rows array (minItems: 1 not met) — rejected","Numeric fields outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost ($0.01 USDC) batch of three complementary data-quality reports on dataset storage records without making any external API calls or live lookups. It is ideal for pre-ingestion validation pipelines, ad-hoc data audits, or automated quality gates on storage usage datasets of up to 200 rows. Prefer it over general-purpose data quality tools when your records specifically track used_mb and row_count storage metrics organised by dataset_group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T17:26:30.196Z","isFirstParty":false,"canonicalSlug":"dataset-storage-record-quality-audit-string-normalisation-duplicate-c65da760"}