{"uid":"cap_KjAwjowAYwwfz8GQe6Ds8","slug":"label-review-analytics-numeric-row-ordering-two-measure-correlation-63692b89","name":"Label Review Analytics: Numeric Row Ordering + Two-Measure Correlation","description":"Label review — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-12-120?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__Dkabrkh35VvOtbMEjPd9","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":"Runs two analytical reports on label review data — numeric row ordering and correlation between reviewed_records and changed_labels — for up to 200 supplied rows.","exampleAgentPrompt":"I have label review data across two groups for October 2026 — can you run the numeric row ordering and two-measure correlation reports on it, using reviewed_records as the primary field? I'll supply up to 10 rows with row_id, date, dataset_group, reviewed_records, and changed_labels.","exampleUseCases":[{"title":"ML pipeline label change audit","prompt":"I have 50 rows of label review records from last month across three dataset groups — can you rank them by reviewed_records and tell me how strongly reviewed_records correlates with changed_labels across all those rows?"},{"title":"Weekly labeling quality review","prompt":"Here are this week's label review entries with dates from 2025-07-01 to 2025-07-07, each with a row_id, dataset_group, reviewed_records count, and changed_labels count — run the numeric ordering and two-measure correlation analysis on them using changed_labels as the primary field."},{"title":"Comparing two annotation groups","prompt":"I've got two annotation groups — group-a and group-b — with about 30 rows total of reviewed_records and changed_labels. Can you sort them numerically and compute the correlation between those two measures?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric ordering of the supplied rows based on the selected field (reviewed_records or changed_labels), and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels across the submitted rows. No external lookups or predictions are made — all analysis is performed on the supplied data.","failureModes":["More than 200 rows submitted — request will be rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) on any row","Date field not in YYYY-MM-DD format","Numeric values outside the allowed range (-1e12 to 1e12)","Empty rows array submitted","Insufficient variation in data for meaningful correlation (e.g. all values identical)"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data with reviewed_records and changed_labels fields and need both a numeric ordering and a correlation analysis in a single low-cost call. Ideal for ML ops teams auditing annotation pipelines, data quality analysts reviewing labeling throughput, or anyone needing offline statistical analysis on up to 200 rows of label review records without external data enrichment or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:24.526Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-row-ordering-two-measure-correlation-63692b89"}