{"uid":"cap_dR4sV52nIQmZfxXscB88a","slug":"label-review-analytics-duplicate-key-report-numeric-distribution-4cabe961","name":"Label Review Analytics: Duplicate Key Report + Numeric Distribution","description":"Label review — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution 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-12-055?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_vk3arv5xKh5Sgn-eK8_aV","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 numeric distribution summary for up to 200 rows of reviewed_records or changed_labels data.","exampleAgentPrompt":"Can you run a duplicate key report and numeric distribution on my label review data? I have rows with row_id, date, dataset_group, reviewed_records, and changed_labels — here are up to 200 rows — and I want to analyze the reviewed_records field.","exampleUseCases":[{"title":"Detect duplicate row IDs in annotation export","prompt":"I exported my label review logs and I'm worried there are duplicate row IDs in the data. Can you run a duplicate key check and numeric distribution on these 150 rows of reviewed_records and changed_labels to flag any duplicates and show me the spread of values?"},{"title":"Distribution analysis for changed labels audit","prompt":"I need to audit the distribution of changed_labels across my dataset groups for October. Here are my label review records — about 80 rows — can you generate a numeric distribution report using the changed_labels field?"},{"title":"Quality check on multi-group review pipeline","prompt":"We have label review data from two dataset groups across the past two weeks and I need to check for any duplicate entries and see how reviewed_records are distributed. Can you run both the duplicate key report and numeric distribution on these 200 rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any rows sharing the same row_id, and (2) a numeric distribution summary for the selected field (reviewed_records or changed_labels), computed locally without any external lookups or predictions. Reports cover up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected","All-null numeric values in selected field may produce empty distribution report","Invalid field enum value (not reviewed_records or changed_labels) causes error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical reports — specifically duplicate key detection and numeric distribution — on label review data without any external data enrichment, prediction, or live lookups. It is ideal for data quality checks on annotation pipelines or ML label review exports where you want both reports in a single cheap call ($0.01 USDC for both). Not suitable for large datasets exceeding 200 rows, real-time monitoring, or any task requiring external data or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:52.450Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-numeric-distribution-4cabe961"}