{"uid":"cap_q-PRy8isrr9rROa9VKAAR","slug":"label-review-analytics-exact-row-deduplication-date-by-category-pivot-b0d1e745","name":"Label Review Analytics: Exact Row Deduplication + Date-by-Category Pivot","description":"Label review — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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-12-052?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_EpjkNcs0EOc1iEV9KDYxJ","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":"Deduplicates exact rows and produces a date-by-category pivot table from supplied label review records (reviewed_records, changed_labels) in a single call returning two reports.","exampleAgentPrompt":"I have up to 200 rows of label review data with fields row_id, dataset_group, date, reviewed_records, and changed_labels — can you run exact row deduplication and a date-by-category pivot on the changed_labels field and give me both reports?","exampleUseCases":[{"title":"Deduplicate ML annotation review logs","prompt":"I've got a batch of label review records from our annotation pipeline with row_id, dataset_group, date, reviewed_records, and changed_labels — some rows are exact duplicates. Can you deduplicate them and also give me a pivot of reviewed_records by date and dataset group?"},{"title":"Audit changed labels across dataset groups","prompt":"Here are 150 label review rows spanning several dataset groups and dates. Run exact deduplication and give me a date-by-category pivot on the changed_labels field so I can see which groups had the most label changes over time."},{"title":"Summarize weekly annotation quality data","prompt":"I have weekly label review data with reviewed_records and changed_labels across groups like group-a and group-b — can you deduplicate exact rows and pivot by date and category so I can spot trends in label quality?"}],"resultDescription":"Two structured analytical reports: (1) a deduplicated set of the input rows with exact duplicate rows removed, and (2) a pivot table cross-tabulating the selected metric (reviewed_records or changed_labels) by date and dataset_group category. Both reports are computed entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, dataset_group) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range — schema rejection","Empty rows array — minimum items constraint violation","field selector not one of the two allowed enum values — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of label review data and need both exact-duplicate removal and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for ML/annotation teams auditing label quality data offline without needing live lookups, predictions, or external data enrichment. Prefer over general analytics services when you specifically need these two co-packaged reports on label review schema data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:35:50.569Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-exact-row-deduplication-date-by-category-pivot-b0d1e745"}