{"uid":"cap_SBN7_KxXaF01ueuLdXbY4","slug":"label-review-analytics-exact-row-deduplication-duplicate-key-report-c84ed3e0","name":"Label Review Analytics: Exact Row Deduplication + Duplicate Key Report","description":"Label review — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report for supplied label review records (reviewed_records, changed_labels). 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-12-038?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}}},"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_L-GXK22OaupZ9V4ac92HK","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":"Performs exact row deduplication and duplicate key detection on label review records (reviewed_records, changed_labels), returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you check this label review dataset for exact duplicate rows and duplicate keys? I have up to 50 rows with fields like row_id, dataset_group, date, reviewed_records, and changed_labels — give me both a deduplication report and a duplicate key report.","exampleUseCases":[{"title":"Annotation QA deduplication audit","prompt":"I've got a batch of label review records from our annotation pipeline — about 120 rows covering several dataset groups across different dates, with reviewed_records and changed_labels counts. Can you run an exact row deduplication check and a duplicate key report on all of them so I can see which entries are redundant before I merge them into our master dataset?"},{"title":"Label review data cleaning before model training","prompt":"Before I feed this label review log into our training pipeline, can you deduplicate it exactly and flag any rows that share the same key fields? I have around 80 rows with row_id, dataset_group, date, reviewed_records, and changed_labels."},{"title":"Multi-group dataset consistency check","prompt":"We've combined label review exports from three different dataset groups and I suspect there are overlapping rows. Can you run both an exact row dedup and a duplicate key report on the combined set — it's about 175 rows — and tell me what's duplicated?"}],"resultDescription":"Returns two independent reports: (1) an exact row deduplication report identifying fully identical rows across all fields, and (2) a duplicate key report flagging rows that share the same key values (e.g. row_id, dataset_group, date) even if other fields differ. Analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, reviewed_records, changed_labels) — validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minimum item count violation"],"whenToPreferThis":"Choose this endpoint when you need fast, offline deduplication and duplicate key detection specifically on label review records with the reviewed_records and changed_labels schema. It is ideal for ML annotation pipeline QA, pre-training data cleaning, and audit workflows where you want two distinct reports (exact row duplicates and key-level duplicates) in a single inexpensive call with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:52.174Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-exact-row-deduplication-duplicate-key-report-c84ed3e0"}