{"uid":"cap_LF6xPKNeKPpCQooeK5UI3","slug":"label-review-analytics-category-frequencies-two-measure-correlation-c1bdfd0b","name":"Label Review Analytics — Category Frequencies + Two-Measure Correlation","description":"Label review — Category frequencies + Two-measure correlation: Category frequencies + 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-12-108?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}}},"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__EtiBBRUbYoGT9Qpklkfd","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 category frequency distributions and a two-measure correlation between reviewed_records and changed_labels for up to 200 label review rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyze these label review records — I have up to 4 rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, reviewed_records counts and changed_labels counts — and give me the category frequency breakdown plus the correlation between reviewed records and changed labels?","exampleUseCases":[{"title":"Annotation pipeline quality check","prompt":"I have 50 rows of label review data from our annotation pipeline, each with a date, dataset group, number of records reviewed, and number of labels changed. Can you compute the category frequencies by dataset group and tell me whether there's a meaningful correlation between how many records were reviewed and how many labels got changed?"},{"title":"ML dataset group comparison","prompt":"We ran label review across three dataset groups last quarter — can you take these 120 rows with reviewed_records and changed_labels and show me how frequently each group appears plus the correlation between review volume and label change count?"},{"title":"Label drift monitoring report","prompt":"I want to understand label drift in our review process. Here are 80 label review records with dates, groups, reviewed_records, and changed_labels — please give me a frequency breakdown by category and a two-measure correlation report between reviewed and changed counts."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels. No external lookups or predictions are made; all analysis is performed on the supplied data only.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, reviewed_records) cause row-level validation errors","Dates not matching YYYY-MM-DD pattern will fail schema validation","Null values in reviewed_records or changed_labels may reduce correlation sample size","Single-row input makes correlation computation undefined or trivial","row_id values exceeding 80 characters will be rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data with dataset group labels and two numeric measures (reviewed_records, changed_labels) and need both a frequency distribution of categories and a pairwise correlation in a single $0.01 call covering up to 200 rows. Prefer it over general-purpose analytics APIs when you want a lightweight, no-external-lookup, supply-your-own-data computation without spinning up a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:05.286Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-category-frequencies-two-measure-correlation-c1bdfd0b"}