{"uid":"cap_oAKK4hvK3krMVU_2BdZXI","slug":"label-review-analytics-numeric-distribution-secondary-measure-bca44bf6","name":"Label Review Analytics — Numeric Distribution & Secondary-Measure Weighted Mean","description":"Label review — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-12-082?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_ncl6V3ouYUeB05oDR6Jxb","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":"Computes numeric distribution statistics and a secondary-measure weighted mean for label review records (reviewed_records, changed_labels) across up to 200 rows.","exampleAgentPrompt":"Run the numeric distribution and secondary-measure weighted mean reports on my label review data — here are 4 rows: row-1 on 2026-10-01 in group-a with 10 reviewed_records and 1 changed_label, row-2 on 2026-10-02 in group-b with 20 reviewed_records and 2 changed_labels, row-3 on 2026-10-03 in group-a with 15 reviewed_records and 3 changed_labels, row-4 on 2026-10-04 in group-b with 30 reviewed_records and 4 changed_labels. Use reviewed_records as the primary field.","exampleUseCases":[{"title":"Annotation QA batch audit","prompt":"I have a week of label review records across two dataset groups — can you run the numeric distribution and weighted mean reports on them? Here are 5 rows with reviewed_records and changed_labels per day, field is changed_labels."},{"title":"Label change rate analysis by group","prompt":"Analyze the distribution of reviewed_records and the weighted mean of changed_labels for my annotation team's output from last sprint — I'll give you up to 50 rows with date, dataset_group, reviewed_records, and changed_labels. Use reviewed_records as the field."},{"title":"Model retraining data quality check","prompt":"Before we retrain, I want to understand the spread and weighted average of our label corrections — can you run both the numeric distribution and secondary-measure weighted mean reports on these 120 label review rows I'm sending, using changed_labels as the primary field?"}],"resultDescription":"Returns two analytical reports for the supplied label review rows: (1) a numeric distribution breakdown of the selected field (reviewed_records or changed_labels), and (2) a secondary-measure weighted mean calculation. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, reviewed_records, or changed_labels) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect weighted mean calculation","Invalid enum value for 'field' parameter causes rejection"],"whenToPreferThis":"Choose this endpoint when you need two specific statistical computations — numeric distribution and secondary-measure weighted mean — on label review data (reviewed_records and changed_labels) for up to 200 rows, and want both reports in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics when your data fits the label review schema and you need these exact report types without live lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:04.741Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-secondary-measure-bca44bf6"}