{"uid":"cap_t30oHy2Mr0AKo3TwoHc0W","slug":"label-review-analytics-grouped-numeric-summary-date-by-category-pivot-dfb38743","name":"Label Review Analytics — Grouped Numeric Summary + Date by Category Pivot","description":"Label review — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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-12-097?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_jqpBAr1ZhAkc2HiHjO6qq","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 from label review data: a grouped numeric summary and a date-by-category pivot, processing up to 200 rows of reviewed_records and changed_labels data.","exampleAgentPrompt":"Can you run two analytics reports on my label review data — a grouped numeric summary and a date-by-category pivot — for the reviewed_records field? I have rows with dataset_group values like 'group-a' and 'group-b' across dates in October 2026.","exampleUseCases":[{"title":"ML annotation team productivity review","prompt":"I have 150 rows of label review logs with dataset groups and daily reviewed_records counts — can you give me a grouped numeric summary and a date-by-category pivot so I can see which teams reviewed the most records and how activity trended over time?"},{"title":"Label correction rate analysis by group","prompt":"Run a grouped summary and date pivot on my changed_labels data — I want to see which dataset groups had the highest label correction rates and how those changes were distributed across dates."},{"title":"Data annotation audit across two projects","prompt":"I've got annotation audit records for two dataset groups across 90 rows covering last quarter — can you produce a numeric summary grouped by dataset_group and a date-by-category pivot on reviewed_records so I can compare the two projects?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels by dataset_group, and (2) a date-by-category pivot table showing the selected field values broken down by date and category — both computed locally from the supplied rows with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) results in schema rejection","Null numeric values in the selected field may produce incomplete aggregations","Empty rows array (minItems: 1 violated) causes request failure"],"whenToPreferThis":"Choose this endpoint when you need both a grouped numeric summary AND a date-by-category pivot on label review data in a single $0.01 call, processing up to 200 rows. It is purpose-built for data annotation and MLOps audit workflows where you want to analyze reviewed_records or changed_labels across dataset groups and time without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:16.514Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-grouped-numeric-summary-date-by-category-pivot-dfb38743"}