{"uid":"cap_-_Ppa6KNFPPWYXivpA4s9","slug":"label-review-analytics-duplicate-key-report-category-frequencies-beb1f197","name":"Label Review Analytics — Duplicate Key Report + Category Frequencies","description":"Label review — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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-12-057?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_8zHXtb4LSsdDNFKR29KvM","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":"Generates two analytical reports — a duplicate key report and category frequency summary — from supplied label review records, covering up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of label review records with row IDs, dataset groups, dates, reviewed record counts, and changed label counts — can you run a duplicate key check and give me category frequency counts across those records?","exampleUseCases":[{"title":"Annotation pipeline duplicate audit","prompt":"I've got a batch of label review logs with row IDs, dataset groups, dates, reviewed records, and changed labels — check for any duplicate row IDs and give me a frequency breakdown by dataset group so I can catch data entry errors before we train."},{"title":"ML dataset review quality check","prompt":"Can you take these label review records across groups A, B, and C and tell me if any row IDs are duplicated, plus how often each group shows up in the dataset? I want to make sure our review coverage is balanced."},{"title":"Weekly labeling summary for team report","prompt":"Here are this week's label review entries with dates from 2026-10-01 to 2026-10-07, covering multiple dataset groups — run a duplicate key check and show me the category frequencies so I can include a quality summary in our weekly report."}],"resultDescription":"Returns two independent reports: (1) a duplicate key report identifying any repeated row_id values across the submitted records, and (2) a category frequency summary showing how often each dataset_group value appears in the input data. Both reports are derived entirely from the supplied rows with no external lookups or predictions.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds limit, request rejected","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","row_id exceeds 80 character limit — schema validation failure","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need fast, local analytical reporting on label review data — specifically duplicate key detection and category frequency counts — without any external API calls, live predictions, or professional assessments. It is ideal for data quality audits on annotation and label review pipelines where you have structured row-level data with group and date dimensions. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for routine batch quality checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:52.758Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-category-frequencies-beb1f197"}