{"uid":"cap_QzSl9gic1iPKDJZNv_6lH","slug":"label-review-analytics-daily-sum-series-two-measure-correlation-b81fbe23","name":"Label Review Analytics: Daily Sum Series + Two-Measure Correlation","description":"Label review — Daily sum series + Two-measure correlation: Daily sum series + 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-12-141?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_c_aKZEv_0iEvJzGVyUSjx","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 daily sum time series and a Pearson/correlation analysis between reviewed_records and changed_labels for up to 200 label review rows, returning two independent statistical reports.","exampleAgentPrompt":"I have 4 days of label review data — on 2026-10-01 group-a had 10 reviewed records and 1 changed label, 2026-10-02 group-b had 20 reviewed and 2 changed, 2026-10-03 group-a had 15 reviewed and 3 changed, 2026-10-04 group-b had 30 reviewed and 4 changed — can you compute the daily sum series and the correlation between reviewed_records and changed_labels for all these rows?","exampleUseCases":[{"title":"Daily trend analysis for annotation pipeline","prompt":"I have a week of label review logs across two dataset groups — each row has a date, group name, number of records reviewed, and how many labels were changed. Can you compute the daily sum series for reviewed_records and also show me the correlation between reviewed_records and changed_labels across all 50 rows?"},{"title":"QA audit of labeling consistency","prompt":"Our QA team reviewed records across multiple groups over the past month — I've got up to 200 rows with dates, dataset groups, reviewed_records counts, and changed_labels counts. Run the daily sum aggregation and the two-measure correlation so I can see where label change rates spike relative to review volume."},{"title":"Spotting outliers in a labeling sprint","prompt":"We just finished a 2-week labeling sprint and I have daily records per group showing how many records were reviewed and how many labels got changed. Can you give me both the daily sum series and the correlation report for changed_labels against reviewed_records so we can flag unusual days?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the chosen measure (reviewed_records or changed_labels) by date across all supplied rows, and (2) a two-measure correlation analysis between reviewed_records and changed_labels. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected at schema validation","Missing required fields (row_id, date, reviewed_records, changed_labels) — row-level validation error","Date values not in YYYY-MM-DD format — pattern validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minItems validation failure","Payment failure or insufficient USDC balance — 402 response before processing"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data (up to 200 rows) with date, group, reviewed_records, and changed_labels columns and need both a daily aggregated sum trend AND a statistical correlation between the two numeric measures in a single $0.01 call. Prefer this over general analytics APIs when your data is already structured and you want two specific report types (time series + correlation) without setting up infrastructure or sending data to a heavyweight analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:34.832Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-daily-sum-series-two-measure-correlation-b81fbe23"}