{"uid":"cap_7NFMcbsDsFF8-ct4ZdJIL","slug":"label-review-numeric-interval-filter-two-measure-correlation-21e216b2","name":"Label Review — Numeric Interval Filter + Two-Measure Correlation","description":"Label review — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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-12-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_FmuKc466RIOy3sfHsk5CB","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":"Filters label review records by a numeric interval on a chosen field and computes a Pearson/Spearman correlation between reviewed_records and changed_labels, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have label review records with dates, dataset groups, reviewed_records, and changed_labels columns — can you filter rows where reviewed_records is between 10 and 500, then run a two-measure correlation report between reviewed_records and changed_labels for me? I have about 80 rows.","exampleUseCases":[{"title":"QA pipeline label change correlation","prompt":"I have 120 label review records from our ML annotation pipeline. Filter to rows where changed_labels is between 0 and 50, then tell me how strongly changed_labels correlates with reviewed_records across those rows."},{"title":"Dataset group audit interval check","prompt":"Can you take my label review CSV — about 90 rows with dataset_group, date, reviewed_records, and changed_labels — filter reviewed_records between 5 and 200, and give me both the filtered data report and the correlation between the two numeric measures?"},{"title":"Annotation throughput statistical summary","prompt":"I want to understand whether high review volume days also have more label changes. Run an interval filter on reviewed_records from 100 to 1000 and compute the two-measure correlation for my 150 label review rows."}],"resultDescription":"Returns two independent analytical reports: (1) the subset of rows where the chosen field falls within the specified numeric interval [minimum, maximum], and (2) a two-measure correlation analysis quantifying the statistical relationship between reviewed_records and changed_labels across the supplied (up to 200) rows. No external data is fetched; all computation is performed on the submitted rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row-level validation error","Null values in both reviewed_records and changed_labels may reduce correlation sample size and produce warnings","minimum greater than maximum produces an empty interval filter result","row_id missing or empty causes schema validation failure","Non-numeric values in numeric fields rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have label review data (reviewed_records + changed_labels) and need both a numeric interval filter and a two-measure correlation in a single $0.01 call. It is ideal when you want to scope your data to a meaningful range before assessing whether review volume and label change counts move together. Prefer it over general-purpose analytics when your domain is annotation QA or ML labeling pipelines and your dataset is 200 rows or fewer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:28.358Z","isFirstParty":false,"canonicalSlug":"label-review-numeric-interval-filter-two-measure-correlation-21e216b2"}