{"uid":"cap_KU6yZyUj4Z3_zrGAY3niO","slug":"label-review-analytics-adjacent-row-changes-secondary-measure-a929141c","name":"Label Review Analytics: Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Label review — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + 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-12-159?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_MW3f1YUyhW3e6iVH60z34","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 changes and secondary-measure weighted mean reports for up to 200 label review records in a single paid call.","exampleAgentPrompt":"Can you run the adjacent row changes and weighted mean reports on my label review data? I have 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 drift detection","prompt":"I have a week of label review logs across two dataset groups — can you check how changed_labels shifts from one row to the next and also give me a weighted mean of reviewed_records weighted by changed_labels? Here are my 5 rows with dates starting 2026-11-01 in groups alpha and beta."},{"title":"Daily label correction rate summary","prompt":"Run both the adjacent row changes and weighted mean analysis on my daily label review records for October — I've got 20 rows across group-a and group-b with reviewed_records and changed_labels filled in. Use changed_labels as the field for the weighted mean."},{"title":"Multi-group annotation audit rollup","prompt":"I need to audit our annotation pipeline: please compute the row-to-row changes in changed_labels and the secondary-measure weighted mean for reviewed_records across these 15 label review entries from three dataset groups dated between 2026-09-01 and 2026-09-15."}],"resultDescription":"Returns two analytical reports for the supplied label review rows: (1) an adjacent row changes report showing how reviewed_records or changed_labels shifts between consecutive rows, and (2) a secondary-measure weighted mean report that computes a weighted average using the specified field. Both reports are computed locally against the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors","Invalid date format (must be YYYY-MM-DD) triggers schema rejection","Null values in numeric fields may affect weighted mean computation","Invalid field enum value (must be reviewed_records or changed_labels) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both adjacent row change detection and a weighted mean computation on label review data in a single low-cost call. It is purpose-built for annotation QA workflows, dataset audits, and label correction rate analysis where the input is structured review records with reviewed_records and changed_labels columns. Prefer it over generic analytics services when you have up to 200 rows and want two complementary statistical summaries for the price of one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:08.313Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-adjacent-row-changes-secondary-measure-a929141c"}