{"uid":"cap__GRr3v1DQN1U8p0Ufzks_","slug":"label-review-analytics-record-quality-audit-exact-row-deduplication-6a447c9a","name":"Label Review Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Label review — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied label review records (reviewed_records, changed_labels). 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-12-210?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"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},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"}}},"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_CbnEBV6X_fl2w3YCpRwNa","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 bundled analytical reports on label review data: a record quality audit, exact row deduplication, and numeric distribution analysis for reviewed_records or changed_labels.","exampleAgentPrompt":"Can you run a full quality audit, exact deduplication, and numeric distribution report on my label review data — here are my rows with row_id, dataset_group, date, reviewed_records, and changed_labels — and analyze the reviewed_records field?","exampleUseCases":[{"title":"ML dataset label quality check","prompt":"I have up to 150 rows of label review records with columns row_id, dataset_group, date, reviewed_records, and changed_labels — can you audit their quality, find any exact duplicate rows, and show me the numeric distribution of the reviewed_records field all in one go?"},{"title":"Deduplication before model retraining","prompt":"Before I retrain my model, I need to clean my label review batch — please run exact row deduplication plus a quality audit on these 80 records and also give me a distribution breakdown of changed_labels values."},{"title":"Cross-group label change analysis","prompt":"I've got label review data for two dataset groups over the past month, about 120 rows total. Can you check data quality, remove any duplicate rows, and show me how changed_labels values are distributed across the dataset?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging null, invalid, or malformed values; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for either reviewed_records or changed_labels. All computed locally with no external lookups.","failureModes":["Exceeds 200-row limit — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, reviewed_records, or changed_labels) triggers validation error","Null numeric values may reduce distribution report accuracy","Invalid field enum value (not reviewed_records or changed_labels) causes error","Empty rows array rejected by minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need three analytical operations on label review data in a single low-cost call ($0.01 USDC): a quality audit, exact deduplication, and numeric distribution. Ideal when your dataset is ≤200 rows, you have structured label review records with reviewed_records and changed_labels fields, and you want purely local computation with no external API calls or predictions. Prefer over separate single-report endpoints when you want all three insights bundled efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:48.577Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-record-quality-audit-exact-row-deduplication-6a447c9a"}