{"uid":"cap_3IE_pag-BeJhsoGRwFjvD","slug":"feature-availability-record-quality-audit-duplicate-key-report-1273ea10","name":"Feature Availability — Record Quality Audit + Duplicate Key Report","description":"Feature availability — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied feature availability records (populated_features, expected_features). 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-10-003?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"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_gUNd80UvJudl86oR4z8my","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 a record quality audit and duplicate key detection report on supplied feature availability data (populated_features, expected_features) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key report on my feature availability data — I have rows with row_id, dataset_group, date, populated_features, and expected_features, about 50 rows across two groups?","exampleUseCases":[{"title":"ML feature store data quality check","prompt":"I have a batch of feature availability records from our ML pipeline — each row has a row_id, dataset_group, date, populated_features, and expected_features. Can you audit them for quality issues and flag any duplicate keys? There are about 80 rows across three groups."},{"title":"Detecting duplicate entries in feature logs","prompt":"We've been logging feature availability daily across two dataset groups and I'm worried some rows got inserted twice. Can you run a duplicate key report on these 120 records and also tell me if there are any quality problems?"},{"title":"Pre-deployment feature data validation","prompt":"Before we ship this feature dataset to production, can you do a record quality audit and check for duplicate row IDs? I'll give you around 150 rows with populated_features and expected_features counts by date and group."}],"resultDescription":"Returns two independent reports: (1) a record quality audit highlighting anomalies, missing values, and data integrity issues in the supplied feature availability rows, and (2) a duplicate key report identifying rows with repeated row_id, date, or dataset_group key combinations — all computed locally with no external lookups.","failureModes":["Fewer than 1 row provided — request rejected","More than 200 rows submitted — exceeds batch limit","Invalid date format not matching YYYY-MM-DD pattern — validation error","row_id missing or empty — required field error","populated_features or expected_features outside allowed numeric range — schema rejection","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you need fast, offline-style data quality analysis on feature availability records specifically containing populated_features and expected_features counts — particularly when you want both a general quality audit AND duplicate key detection in a single $0.01 call for up to 200 rows, without needing live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:31.870Z","isFirstParty":false,"canonicalSlug":"feature-availability-record-quality-audit-duplicate-key-report-1273ea10"}