{"uid":"cap_6UqeTlwDi-N12NBFa0Gfk","slug":"label-review-analytics-exact-row-deduplication-numeric-row-ordering-e8d62048","name":"Label Review Analytics — Exact Row Deduplication + Numeric Row Ordering","description":"Label review — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-12-042?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_A3-Mn7H3CjDShmXX4W5JR","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":"Deduplicates exact rows and produces a numerically ordered ranking report for label review records (reviewed_records or changed_labels), processing up to 200 rows in two bundled analytical reports.","exampleAgentPrompt":"I have a batch of label review records — up to 50 rows with row IDs, dataset groups, dates, and counts of reviewed_records and changed_labels — can you deduplicate the exact rows and give me a numerically ordered ranking report on the reviewed_records field?","exampleUseCases":[{"title":"Cleaning duplicate annotation review logs","prompt":"I've got my label review dataset with about 80 rows including row_id, dataset_group, date, reviewed_records, and changed_labels — some entries look like exact duplicates. Can you remove the exact duplicate rows and give me a clean deduplicated report?"},{"title":"Ranking datasets by annotation change volume","prompt":"I have 120 label review records across multiple dataset groups with dates and changed_labels counts. Can you sort and rank them numerically by the changed_labels field so I can see which groups had the most label changes?"},{"title":"QA audit of labeling pipeline throughput","prompt":"I need to audit our labeling pipeline — here are 60 rows of review records with reviewed_records and changed_labels values. Run exact deduplication and give me a numeric ordering by reviewed_records so I can spot anomalies."}],"resultDescription":"Two analytical reports are returned: (1) an exact row deduplication report identifying and removing fully identical rows from the input, and (2) a numerically ordered row report ranking the input rows by the chosen numeric field (reviewed_records or changed_labels). Both reports operate solely on the supplied data with no external lookups.","failureModes":["Input array is empty or missing — returns validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not in ['reviewed_records','changed_labels'] — rejected","Numeric values outside ±1,000,000,000,000 range — schema rejection","row_id missing or empty string — required field violation"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical operations on label review data simultaneously — exact duplicate row detection and numeric ordering — delivered as a single low-cost call. It is ideal when your data is self-contained (no external enrichment needed) and fits within 200 rows. Prefer this over general-purpose analytics tools when you specifically work with annotation or label review pipelines tracking reviewed_records and changed_labels metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:31.369Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-exact-row-deduplication-numeric-row-ordering-e8d62048"}