{"uid":"cap_lwWVH4yoG7Qa9AHt4ZwFn","slug":"label-review-analytics-duplicate-key-report-two-measure-correlation-28723abc","name":"Label Review Analytics: Duplicate Key Report + Two-Measure Correlation","description":"Label review — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation 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-12-066?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_iTgE9XUdbRGTcotyg7EVw","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":"Analyzes label review records to produce a duplicate key report and a two-measure correlation analysis between reviewed_records and changed_labels for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key check and a correlation analysis on my label review data? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 reviewed records and 1 changed label, row-2 on 2026-10-02 in group-b with 20 reviewed and 2 changed, row-3 on 2026-10-03 in group-a with 15 reviewed and 3 changed, and row-4 on 2026-10-04 in group-b with 30 reviewed and 4 changed.","exampleUseCases":[{"title":"Annotation pipeline data quality audit","prompt":"I have 50 rows from my annotation review pipeline and I want to know if any row IDs are duplicated and whether the number of records reviewed is correlated with how many labels got changed — can you run both checks at once?"},{"title":"Label churn investigation across dataset groups","prompt":"We have label review logs across two dataset groups for the past month, about 120 rows. Can you check for duplicate row IDs and tell me how strongly reviewed_records correlates with changed_labels across those entries?"},{"title":"Pre-report data integrity check for MLOps team","prompt":"Before I send my label review summary to the team, can you scan these 80 rows for any duplicate keys and give me the correlation between reviewed records and changed labels so I can flag any anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values within the submitted dataset, and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels across all submitted rows. Coverage is up to 200 rows per call with no external lookups performed.","failureModes":["Input array is empty or missing — validation error returned","More than 200 rows submitted — request rejected with max-items error","Row missing required fields (row_id, date, reviewed_records, changed_labels) — schema validation failure","Date field does not match YYYY-MM-DD pattern — format validation error","Numeric fields out of allowed range (±1,000,000,000,000) — validation error","All reviewed_records or changed_labels values are null — correlation cannot be computed"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit a label review dataset for duplicate row keys AND measure the correlation between reviewed_records and changed_labels in a single low-cost call. It is ideal for MLOps and annotation quality workflows where you want a quick, offline analytical check on up to 200 records without any external data enrichment, prediction, or live lookups. At $0.01 USDC for both reports, it is cost-effective compared to running separate general-purpose analytics services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:32.951Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-two-measure-correlation-28723abc"}