{"uid":"cap_uvpEdvaqtvieouslfLGSq","slug":"label-review-analytics-numeric-row-ordering-date-by-category-pivot-bd81fa93","name":"Label Review Analytics: Numeric Row Ordering + Date by Category Pivot","description":"Label review — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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-12-122?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_dh1f-Cqkldoa5_fltkgb2","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 for label review data: numeric row ordering and a date-by-category pivot, for up to 200 rows of reviewed_records and changed_labels data.","exampleAgentPrompt":"Can you rank my label review rows by reviewed_records and also pivot them by date and dataset group? I have 4 rows: row-1 on 2026-10-01 group-a with 10 reviewed and 1 changed, row-2 on 2026-10-02 group-b with 20 reviewed and 2 changed, row-3 on 2026-10-03 group-a with 15 reviewed and 3 changed, row-4 on 2026-10-04 group-b with 30 reviewed and 4 changed.","exampleUseCases":[{"title":"Weekly annotation quality review","prompt":"I have this week's label review data across two dataset groups — can you rank the rows by reviewed_records and pivot the counts by date and group so I can see which days had the most activity? Here are my rows: row-1, 2026-10-01, group-a, 10 reviewed, 1 changed; row-2, 2026-10-02, group-b, 20 reviewed, 2 changed; row-3, 2026-10-03, group-a, 15 reviewed, 3 changed."},{"title":"Comparing label change rates across groups","prompt":"Run me a numeric ordering and a date-by-category pivot on my changed_labels data — I want to see which rows rank highest and how the label changes break down by group per day. My data: row-1 2026-11-01 group-x 5 changed 100 reviewed, row-2 2026-11-01 group-y 12 changed 80 reviewed, row-3 2026-11-02 group-x 3 changed 90 reviewed, row-4 2026-11-02 group-y 8 changed 110 reviewed."},{"title":"Monthly dataset audit summary","prompt":"I need two reports on my monthly label audit records — one that orders the rows numerically by reviewed_records and one that pivots them by date and dataset group. Can you run both? Data: row-A 2026-12-01 finance-group 500 reviewed 20 changed, row-B 2026-12-02 legal-group 300 reviewed 45 changed, row-C 2026-12-03 finance-group 450 reviewed 10 changed, row-D 2026-12-04 legal-group 280 reviewed 60 changed."}],"resultDescription":"Two analytical reports: (1) a numeric row ordering that ranks the supplied label review rows by the chosen metric (reviewed_records or changed_labels), and (2) a date-by-category pivot table showing the selected metric broken down by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, reviewed_records, changed_labels) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in both numeric fields may produce incomplete or empty report sections","Invalid field enum value (anything other than reviewed_records or changed_labels) causes a schema error"],"whenToPreferThis":"Choose this endpoint when you need both a ranked row ordering and a date-by-category pivot on label review data in a single low-cost call. It is purpose-built for annotation quality workflows tracking reviewed_records and changed_labels across dataset groups over time. Prefer it over general analytics tools when your dataset fits within 200 rows and you want two specific reports bundled for $0.01 USDC without any external data lookups or ML predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:15.468Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-row-ordering-date-by-category-pivot-bd81fa93"}