{"uid":"cap_2F3AdTZ9ZinEaZxR65bsJ","slug":"label-review-analytics-grouped-numeric-summary-two-measure-correlation-2172aa76","name":"Label Review Analytics — Grouped Numeric Summary + Two-Measure Correlation","description":"Label review — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-12-095?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_qgpj6cZGlIi9Sv02D_5is","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 a grouped numeric summary and a two-measure Pearson/rank correlation between reviewed_records and changed_labels for supplied label review data, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"I have label review records for two dataset groups over several dates — can you give me a grouped numeric summary of reviewed_records and also run a correlation between reviewed_records and changed_labels? Here are up to 200 rows with row_id, dataset_group, date, reviewed_records, and changed_labels.","exampleUseCases":[{"title":"QA team label audit summary","prompt":"We finished a label review sprint and I have 150 rows of audit data with row_id, date, dataset_group, reviewed_records, and changed_labels. Can you give me a grouped numeric summary of reviewed_records broken down by dataset group, plus a correlation between reviewed_records and changed_labels so I can see if busier reviewers change more labels?"},{"title":"ML dataset annotation drift analysis","prompt":"I need to understand whether datasets with more reviewed records tend to have more changed labels — run a two-measure correlation and a grouped summary of changed_labels grouped by dataset_group for my annotation tracking data. I have about 80 rows with fields: row_id, date, dataset_group, reviewed_records, and changed_labels."},{"title":"Weekly label change rate comparison","prompt":"Here's my weekly label review log with columns row_id, date, dataset_group, reviewed_records, and changed_labels for group-a and group-b. Give me a grouped numeric summary of changed_labels per group and correlate it with reviewed_records so I can compare the two groups' label change patterns."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary (e.g. count, mean, median, std, min, max) of the chosen field broken down by dataset_group, and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels across all supplied rows. Both reports are derived entirely from the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — excess rows may be rejected or truncated","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, reviewed_records, changed_labels) — schema validation failure","Non-numeric values in numeric fields — parsing error","Insufficient data variance for meaningful correlation — result may return NaN or null coefficient","Payment of 0.01 USDC not received — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have label review or data annotation records with a grouping dimension and want both a descriptive grouped summary AND a correlation between two numeric metrics in a single $0.01 call. It is purpose-built for label QA workflows tracking reviewed_records and changed_labels. Prefer it over generic stats tools when your data fits the schema (up to 200 rows, two numeric measures, one grouping column) and you need two complementary reports — aggregated group statistics plus a relationship measure — without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:42.508Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-grouped-numeric-summary-two-measure-correlation-2172aa76"}