{"uid":"cap_QNrW1vQhgJpguSVQwSYxP","slug":"label-review-analytics-duplicate-key-report-adjacent-row-changes-3079b874","name":"Label Review Analytics — Duplicate Key Report + Adjacent Row Changes","description":"Label review — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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-12-062?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_OQxflOCCyx5eA50_ps-UX","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":"Runs two local analytical reports on supplied label review data: a duplicate key report and adjacent row change detection, for up to 200 rows.","exampleAgentPrompt":"I have label review records for October 2026 across groups A and B — can you run a duplicate key report and adjacent row change detection on them? The rows have row_id, date, dataset_group, reviewed_records, and changed_labels fields, and I want to check the reviewed_records field.","exampleUseCases":[{"title":"Spotting duplicate keys in annotation batches","prompt":"I've got up to 80 label review records from our annotation pipeline with row IDs, dates, and dataset groups — can you run a duplicate key report on them and also show me where adjacent rows changed their reviewed_records values?"},{"title":"QA check on changed label sequences","prompt":"Here are 150 rows from our label review export for November 2026. Can you check for any duplicate row IDs and flag where the changed_labels values shift between consecutive rows?"},{"title":"Pre-merge data integrity check","prompt":"Before I merge these label review CSVs, can you run a duplicate key report and adjacent row change analysis on the combined 200 rows using the reviewed_records field so I can catch any data issues?"}],"resultDescription":"Two independent analytical reports: (1) a duplicate key report identifying rows sharing the same key combinations (row_id, date, dataset_group), and (2) an adjacent row changes report showing where the selected field (reviewed_records or changed_labels) changes between consecutive rows. No external lookups or predictions — entirely computed from the supplied data.","failureModes":["More than 200 rows submitted — exceeds the maximum row limit","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Empty rows array — minItems constraint violation","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid field selector value — must be reviewed_records or changed_labels"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data (up to 200 rows) and need two specific analytical reports — duplicate key detection and adjacent row change tracking — computed locally from your supplied data without any external API calls, predictions, or live lookups. It is cost-effective at $0.01 for both reports together and is ideal for data quality checks before merging annotation datasets or auditing label review pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:18.396Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-adjacent-row-changes-3079b874"}