{"uid":"cap_Resjra1DZLqLGWhS_X94C","slug":"label-review-analytics-date-by-category-pivot-missing-value-fill-9f86cb24","name":"Label Review Analytics: Date-by-Category Pivot + Missing-Value Fill","description":"Label review — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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-12-189?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_JyMyuDSyCgwBCAWQ2n9nR","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":"Generates two analytical reports from label review data: a date-by-category pivot table and an explicit missing-value fill, for up to 200 rows of reviewed_records and changed_labels data.","exampleAgentPrompt":"Pivot my label review data by date and dataset group, then fill any missing reviewed_records values using median — I have rows like row-1 on 2026-10-01 for group-a with 10 reviewed_records and 1 changed_label, up to about 50 rows total.","exampleUseCases":[{"title":"Annotation QA daily activity breakdown","prompt":"I have 80 rows of annotation review logs with dates, dataset groups, reviewed_records counts, and changed_labels — can you pivot them by date and group and fill any missing reviewed_records values with the median?"},{"title":"Missing changed_labels imputation","prompt":"Some of my label review records are missing changed_labels values. Use zero-fill to plug those gaps and also give me a pivot of changed_labels by date and dataset_group across my 120 rows."},{"title":"ML dataset review summary report","prompt":"We track reviewed_records and changed_labels across multiple dataset groups daily. Can you build a date-by-group pivot table from our 150 review records and replace any null reviewed_records with the mean?"}],"resultDescription":"Two analytical reports: (1) a pivot table cross-tabulating the selected metric (reviewed_records or changed_labels) by date and dataset_group, and (2) the same dataset with missing values in the target field explicitly filled using the chosen method (zero, mean, or median). No external lookups or predictions are made — all computation is local and deterministic.","failureModes":["Input array exceeds 200 rows — request will be rejected","Invalid date format (must match YYYY-MM-DD pattern) — row will error or be rejected","Missing required fields (row_id, date, dataset_group) — schema validation failure","Numeric values outside allowed range (-1T to 1T) — validation error","Empty rows array — minimum 1 item required","Invalid fill method enum value — must be zero, mean, or median","Invalid field enum value — must be reviewed_records or changed_labels"],"whenToPreferThis":"Choose this endpoint when you have label review or annotation quality data organized by date and category group, and need both a cross-tabulated summary (pivot) and missing-value imputation in a single low-cost call. Ideal for ML ops teams tracking reviewed_records and changed_labels across dataset partitions over time. Prefer this over general-purpose analytics tools when you want a deterministic, offline, no-side-effect report that delivers two complementary views of your review data at $0.01 per batch of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:36:51.086Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-date-by-category-pivot-missing-value-fill-9f86cb24"}