{"uid":"cap_zIGJRlPGm0xeWhNKUk5aq","slug":"label-review-analytics-numeric-distribution-two-measure-correlation-34075a42","name":"Label Review Analytics: Numeric Distribution + Two-Measure Correlation","description":"Label review — Numeric distribution + Two-measure correlation: Numeric distribution + 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-12-081?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_S2Al1dyCfZ2ekzRuuNgs7","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 distribution statistics and two-measure correlation analysis for label review records (reviewed_records and changed_labels) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and two-measure correlation analysis 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_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 — focus the distribution report on the reviewed_records field.","exampleUseCases":[{"title":"Annotation team quality audit","prompt":"I need to understand the distribution of records reviewed per day and whether the number of label changes correlates with review volume — here are my 50 rows of label review data with dates, dataset groups, reviewed_records, and changed_labels values. Run the numeric distribution and correlation analysis for me."},{"title":"ML dataset label consistency check","prompt":"We just finished a labeling sprint across two dataset groups. Can you run a numeric distribution and two-measure correlation report on our reviewed_records and changed_labels data for the 120 rows we collected between 2026-09-01 and 2026-09-30, grouped by dataset_group?"},{"title":"Label review pipeline benchmarking","prompt":"I'm benchmarking our annotation pipeline and want to see how changed_labels is distributed statistically and how it correlates with reviewed_records across our 80 review sessions. Can you give me both the distribution and the correlation report?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report for the specified field (reviewed_records or changed_labels), including statistics like min, max, mean, median, and spread; and (2) a two-measure correlation report showing the relationship between reviewed_records and changed_labels across the supplied rows. Both reports are computed locally on the supplied data without any external lookup.","failureModes":["Input array empty or missing — minItems:1 violation returns validation error","More than 200 rows submitted — maxItems:200 violation","Invalid date format (must match YYYY-MM-DD pattern)","row_id missing or empty — required field violation","Numeric values out of allowed range (±1,000,000,000,000)","Insufficient variance in data for meaningful correlation (e.g. all values identical)","Payment not included or insufficient — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of label review data with reviewed_records and changed_labels fields and need both a numeric distribution analysis and a two-measure correlation report in a single $0.01 call. It is ideal for ML/data-labeling teams auditing annotation quality, benchmarking review pipelines, or investigating relationships between review volume and label change rates — without needing a live external data connection or predictive model.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:15.174Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-two-measure-correlation-34075a42"}