{"uid":"cap_eY-Elkn6USVr-U-4VQJD-","slug":"label-review-analytics-exact-row-deduplication-secondary-measure-f77897c5","name":"Label Review Analytics: Exact Row Deduplication + Secondary-Measure Weighted Mean","description":"Label review — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + 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-12-051?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_VVZfmT_sT_qCIcYne93k6","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":"Deduplicates exact rows and computes a secondary-measure weighted mean across label review records (reviewed_records and changed_labels) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a batch of label review records with reviewed_records and changed_labels columns — can you deduplicate exact rows and compute the weighted mean of reviewed_records across the dataset groups? Here are up to 200 rows with row_id, date (e.g. 2026-10-01), dataset_group, reviewed_records, and changed_labels fields.","exampleUseCases":[{"title":"Annotation quality audit deduplication","prompt":"I exported our weekly label review log and I think there are duplicate entries — can you remove exact duplicate rows and give me a weighted mean of reviewed_records, grouped across dataset_group values? I have about 150 rows with row_id, date, dataset_group, reviewed_records, and changed_labels."},{"title":"Label change rate weighted summary","prompt":"I want to understand our label correction rate: run exact deduplication and then compute the weighted mean of changed_labels across my review records. I have 80 rows covering dataset groups 'group-a' and 'group-b' with dates in October 2026."},{"title":"ML pipeline label review QA report","prompt":"Before we retrain the model, I need a QA report on our label review data — deduplicate any exact duplicate rows and compute the weighted mean for reviewed_records. There are 200 rows with row_id, date, dataset_group, reviewed_records, and changed_labels columns."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the supplied label review records, and (2) a secondary-measure weighted mean report computing the weighted average of the specified field (reviewed_records or changed_labels) using the other measure as weights, all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Empty rows array (minItems: 1 not met) — rejected","Invalid field enum value (must be reviewed_records or changed_labels) — rejected"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data (up to 200 rows) and need both exact row deduplication and a weighted mean computation in a single low-cost call ($0.01 USDC). It is ideal for ML annotation pipelines that need lightweight, local analytics without any external data access, live prediction, or professional assessment. Prefer it over general-purpose analytics tools when you need a bundled two-report output specifically structured around reviewed_records and changed_labels metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:33.526Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-exact-row-deduplication-secondary-measure-f77897c5"}