{"uid":"cap_2xKU6TXtu3dZf0Q6wCAut","slug":"label-review-analytics-duplicate-key-report-iqr-outlier-flags-e9dd2389","name":"Label Review Analytics — Duplicate Key Report + IQR Outlier Flags","description":"Label review — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags 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-12-065?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_f4ta4AsSXcmZyShM-yY7v","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 two analytical reports on label review data: a duplicate key report and IQR-based outlier detection on reviewed_records or changed_labels, for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and IQR outlier check on my label review data — I have about 50 rows with row_id, date, dataset_group, reviewed_records, and changed_labels columns, and I want to flag outliers in the reviewed_records field?","exampleUseCases":[{"title":"Annotation QA data quality audit","prompt":"I have 120 rows of label review logs with row IDs, dates, dataset groups, reviewed record counts, and changed label counts — can you check them for duplicate row keys and flag any IQR outliers in reviewed_records?"},{"title":"Changed labels anomaly detection","prompt":"Here are my label review records for last month across three dataset groups. Can you run an IQR outlier check specifically on the changed_labels field and also tell me if there are any duplicate row IDs?"},{"title":"Multi-group label review sanity check","prompt":"Before I submit this annotation batch, can you scan these 80 label review rows for any duplicate keys and identify statistically unusual values in reviewed_records using IQR outlier detection?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) IQR outlier flags marking rows whose chosen numeric field (reviewed_records or changed_labels) falls outside the interquartile range bounds. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncates input","Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema validation error","Numeric values outside the allowed range (-1T to +1T) are rejected","Submitting fewer than 1 row causes a schema error","All-null numeric columns may produce empty or degenerate IQR results"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical data quality checks on label review records specifically — combining duplicate key detection and IQR-based outlier flagging in a single low-cost call. Ideal for annotation pipelines, ML data QA workflows, and pre-submission audits of up to 200 label review rows where no live prediction, external lookup, or professional assessment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:13.428Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-iqr-outlier-flags-e9dd2389"}