{"uid":"cap_KwVkMJRKkzBQlh3gaGLwS","slug":"label-review-analytics-adjacent-row-changes-two-measure-correlation-d1e0be81","name":"Label Review Analytics: Adjacent Row Changes + Two-Measure Correlation","description":"Label review — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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-12-158?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_pJx8L3Ww6VGj8UMnWOZzh","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 adjacent row change analysis and two-measure correlation for label review data (reviewed_records and changed_labels) on up to 200 supplied rows.","exampleAgentPrompt":"Run adjacent row change detection and a two-measure correlation analysis on my label review data — I have up to 50 rows with dates, dataset groups, reviewed_records, and changed_labels counts, and I want both reports in one call for the changed_labels field.","exampleUseCases":[{"title":"Annotation batch quality drift detection","prompt":"I have 80 rows of daily label review records with dates, dataset groups, reviewed_records counts, and changed_labels counts — can you run the adjacent row changes report on changed_labels to see where my annotation quality is shifting day to day?"},{"title":"Correlation between review volume and label changes","prompt":"I want to know if there's a meaningful correlation between how many records my team reviews and how many labels get changed — here are 120 rows of label review data with dates and dataset groups, run the two-measure correlation report."},{"title":"Multi-group label audit analysis","prompt":"We have label review data from two dataset groups over 3 months, about 150 rows total, with reviewed_records and changed_labels tracked daily — can you run both the adjacent row changes and correlation reports on the reviewed_records field so I can see trends across groups?"}],"resultDescription":"Returns two analytical reports for the supplied label review rows: (1) an adjacent row changes report showing sequential deltas in the chosen field (reviewed_records or changed_labels) row-by-row, and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels. No external data is fetched; all analysis runs on the submitted rows.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required row fields (row_id, date, reviewed_records, changed_labels) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Null values in numeric fields may affect correlation calculation","Invalid field enum value (not 'reviewed_records' or 'changed_labels') — request rejected"],"whenToPreferThis":"Use this endpoint when you have label review tabular data with reviewed_records and changed_labels columns and want two specific analytical outputs — sequential row change detection and cross-measure correlation — without needing external lookups or predictions. Ideal for ML ops teams auditing annotation pipelines or data quality workflows that need lightweight, on-demand statistical reports on batches of up to 200 rows at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:16.230Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-adjacent-row-changes-two-measure-correlation-d1e0be81"}