{"uid":"cap_f4kPz-qVMm54ut9rSL45d","slug":"label-review-analytics-duplicate-key-report-grouped-numeric-summary-472def8b","name":"Label Review Analytics — Duplicate Key Report + Grouped Numeric Summary","description":"Label review — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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-12-056?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_wVjo-_YhMnR_B6ORNY15u","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 grouped numeric summary for reviewed_records or changed_labels fields, covering up to 200 rows in one call.","exampleAgentPrompt":"Can you run a duplicate key check and grouped numeric summary on my label review data — I've got rows with row_id, dataset_group, date, reviewed_records, and changed_labels, and I want to summarize the reviewed_records field across up to 50 rows?","exampleUseCases":[{"title":"Auditing annotation batch for duplicates","prompt":"I exported a batch of label review records from our annotation pipeline — can you check for any duplicate row IDs and give me a grouped summary of reviewed_records broken down by dataset_group?"},{"title":"Tracking changed labels across dataset groups","prompt":"Here's a CSV worth of label review data with up to 150 rows. I want to see if there are any duplicate keys and get a grouped numeric summary of the changed_labels field by group."},{"title":"Data quality check before model training","prompt":"Before we feed this label review batch into training, can you run a duplicate key report and a grouped summary on the reviewed_records values, grouped by dataset_group, for these 80 rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the submitted data, and (2) a grouped numeric summary of the selected field (reviewed_records or changed_labels) aggregated by dataset_group — covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause row-level errors","Invalid date format (non-YYYY-MM-DD) causes validation failure","Numeric values outside the allowed range cause schema rejection","Empty rows array returns an error","Invalid field selector (not 'reviewed_records' or 'changed_labels') causes failure"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit label review data for duplicate row keys AND get a grouped numeric breakdown of a chosen metric (reviewed_records or changed_labels) by dataset_group — all in a single low-cost call against your own supplied data, with no external lookups or predictions involved. It is ideal for ML data ops teams validating annotation batches before training runs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:36:23.649Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-grouped-numeric-summary-472def8b"}