{"uid":"cap_IlRAlZ9Csb_fEZQYQ3x31","slug":"label-review-analytics-numeric-distribution-missing-value-fill-5ad3e96e","name":"Label Review Analytics — Numeric Distribution + Missing-Value Fill","description":"Label review — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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-12-085?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_rk1gKMj_qA1ZMJR9QOWw7","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 numeric distribution statistics and fills missing values (zero, mean, or median) for label review records containing reviewed_records and changed_labels fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze the numeric distribution of reviewed_records and fill any missing values using the median for my label review dataset — here are the rows: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"reviewed_records\":10,\"changed_labels\":1},{\"row_id\":\"r2\",\"dataset_group\":\"group-b\",\"date\":\"2026-10-02\",\"reviewed_records\":null,\"changed_labels\":2}].","exampleUseCases":[{"title":"Audit label review completeness","prompt":"I have 50 label review records from two dataset groups and want to see the numeric distribution of changed_labels and fill any nulls with the mean — can you run both reports on this data?"},{"title":"Impute missing reviewed record counts","prompt":"Some rows in my label review export have null reviewed_records values. Can you fill those using zero-fill and also show me the distribution of reviewed_records across all rows?"},{"title":"QA check on annotation pipeline output","prompt":"Here's a batch of 120 label review entries from our annotation pipeline. I need a numeric distribution report for changed_labels and a median-based missing-value fill — please run both analyses."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, counts) for the specified field across up to 200 input rows, and (2) a missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median).","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, reviewed_records, or changed_labels) cause row-level errors","Unsupported fill method enum value causes a bad request error","All values in the target field are null, making mean/median undefined","Empty rows array returns an error response"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data (with reviewed_records and changed_labels columns) and need both a numeric distribution summary and missing-value imputation in a single low-cost call. It is ideal for ML data quality workflows, annotation pipeline QA, and preprocessing steps before model training — especially when you want two reports (distribution + fill) for up to 200 rows at a flat $0.01 USDC cost without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:11.688Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-missing-value-fill-5ad3e96e"}