{"uid":"cap_lGvHzYPWSf9FX_WEAauVp","slug":"label-review-analytics-record-quality-audit-exact-row-deduplication-3e318324","name":"Label Review Analytics: Record Quality Audit + Exact Row Deduplication + Duplicate Key Report","description":"Label review — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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-12-209?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_qH634LpRY6zQ3mvGq1GvY","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 label review data: a record quality audit, exact row deduplication, and a duplicate key report — all from supplied data, no external lookups.","exampleAgentPrompt":"Can you run a full data quality audit, exact row deduplication, and duplicate key report on my label review dataset? I have up to 200 rows with fields like row_id, dataset_group, date, reviewed_records, and changed_labels — I need all three reports in one call.","exampleUseCases":[{"title":"ML annotation pipeline quality gate","prompt":"I've got a batch of up to 150 label review records from our annotation pipeline — each row has a row_id, dataset_group, date, reviewed_records count, and changed_labels count. Can you audit them for record quality issues, find any exact duplicate rows, and flag any duplicate keys so I can clean the dataset before training?"},{"title":"Label review dataset deduplication before export","prompt":"Before I export this week's label review data to our data warehouse, can you run exact row deduplication and a duplicate key report on my 80 rows? Each row has a row_id, dataset_group, date, reviewed_records, and changed_labels. I want to make sure there's no junk going in."},{"title":"Spot-check changed_labels data integrity","prompt":"We had a data ingestion glitch and I suspect some label review records got duplicated. Can you do a record quality audit and duplicate key report on these 60 rows — row_id, dataset_group, date, reviewed_records, changed_labels — to confirm whether we have bad data?"}],"resultDescription":"Three independent reports: (1) a record quality audit highlighting data issues in the supplied rows, (2) exact row deduplication results identifying and removing fully duplicate rows, and (3) a duplicate key report listing row_ids or key combinations that appear more than once — all computed locally from the submitted data with no external lookups.","failureModes":["Submitting more than 200 rows will exceed the row limit and may result in an error or truncation","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) will cause validation failure","Date values not matching YYYY-MM-DD pattern will be rejected","Non-numeric values for reviewed_records or changed_labels will fail schema validation","Empty array submission (minItems: 1 not met) will return an error","Payment failure or insufficient USDC balance will block the call"],"whenToPreferThis":"Choose this endpoint when you need three data quality operations — record quality audit, exact deduplication, and duplicate key detection — on a single label review dataset in one low-cost call. It is ideal for ML/annotation teams validating label review batches before downstream use. Prefer it over separate single-report endpoints when all three checks are needed together for cost and simplicity. Not suitable when you need live lookups, predictions, or analysis of datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:15.398Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-record-quality-audit-exact-row-deduplication-3e318324"}