{"uid":"cap_M9UnzV7MUHjOWupIZXdrD","slug":"label-review-analytics-numeric-row-ordering-secondary-measure-67692309","name":"Label Review Analytics: Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Label review — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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-12-121?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_QoN-tdtkRWCRKhbWUTIfQ","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 row ordering and secondary-measure weighted mean statistics for supplied label review records (reviewed_records and changed_labels) across up to 200 rows.","exampleAgentPrompt":"I have 4 label review sessions: row-1 on 2026-10-01 in group-a with 10 reviewed_records and 1 changed_labels, 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, and row-4 on 2026-10-04 in group-b with 30 reviewed_records and 4 changed_labels — can you rank these rows by reviewed_records and give me the weighted mean of changed_labels?","exampleUseCases":[{"title":"ML annotation audit ranking","prompt":"I have 6 label review records from last sprint — each has a date, dataset group, number of records reviewed, and number of labels changed. Can you rank them numerically by reviewed_records and give me the weighted mean of changed_labels across all rows?"},{"title":"Dataset group correction rate analysis","prompt":"Here are 10 rows of label review data across two dataset groups (group-a and group-b) from October. Rank the rows by changed_labels field and compute the weighted mean of reviewed_records so I can see which group had the heaviest review burden."},{"title":"Quality control summary for annotation pipeline","prompt":"My annotation team reviewed labels across 50 sessions this month — I have the date, group name, reviewed_records count, and changed_labels count for each. Order these rows numerically by reviewed_records and give me the secondary-measure weighted mean of changed_labels."}],"resultDescription":"Two analytical reports: (1) a numeric ordering/ranking of the input rows by the specified primary field, and (2) a weighted mean of the secondary measure (reviewed_records or changed_labels) computed from the supplied data — all derived locally from the submitted rows with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds max row limit","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Null values in both reviewed_records and changed_labels simultaneously — computation may be undefined","field enum value not one of 'reviewed_records' or 'changed_labels' — invalid input"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data (up to 200 rows) with reviewed_records and changed_labels metrics and need both a numeric row ordering and a weighted mean statistic in a single low-cost call ($0.01 USDC). It is ideal for ML annotation pipelines, data labeling QA workflows, or any scenario where you need to rank review sessions and compute weighted aggregates offline without external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:54.997Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-row-ordering-secondary-measure-67692309"}