{"uid":"cap_px8JOtVvX9o5M-PXMCP4t","slug":"label-review-analytics-category-frequencies-missing-value-fill-ba3afbed","name":"Label Review Analytics: Category Frequencies + Missing-Value Fill","description":"Label review — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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-12-112?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_VVnxYN6B3Xh-UEkR7v3gO","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 fills missing values (zero/mean/median) for label review records containing reviewed_records and changed_labels fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have label review records across two dataset groups — 'group-a' and 'group-b' — with dates and reviewed_records and changed_labels counts; some values are null. Can you give me the category frequency breakdown by group and fill the missing reviewed_records values using median imputation?","exampleUseCases":[{"title":"Annotation audit frequency analysis","prompt":"I've got 150 label review rows from our NLP annotation project with dataset_group, date, reviewed_records, and changed_labels fields. Can you run a category frequency report so I can see how many records fall into each group, and fill any missing reviewed_records values using the mean?"},{"title":"Missing label count imputation","prompt":"Our QA export has some null changed_labels entries scattered across dates in October 2026. Can you analyze the category frequencies across dataset groups and fill those missing changed_labels values with zeros so we can proceed with reporting?"},{"title":"Multi-group label change distribution","prompt":"I have daily label review data for group-a and group-b from last quarter — up to 200 rows — and I need two reports: one showing how many records fall in each category group, and one with median fill for any missing reviewed_records values."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) the specified numeric field (reviewed_records or changed_labels) with missing (null) values filled using the chosen method (zero, mean, or median). No external lookups or predictions are made; all computation is local.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid fill method or field enum value — rejected with enum mismatch error","All values in target field are null — mean/median fill may be undefined or return zero","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data (up to 200 rows) with dataset_group categories and numeric reviewed_records/changed_labels fields, and need both a frequency breakdown of categories AND missing-value imputation in a single paid call. It is ideal for ML/annotation pipeline QA steps where you need lightweight local analytics without sending data to an external prediction or live-lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:22.790Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-category-frequencies-missing-value-fill-ba3afbed"}