{"uid":"cap_jef1XK3jjk15LCsOk40dA","slug":"label-review-analytics-duplicate-key-report-numeric-interval-filter-e34ec127","name":"Label Review Analytics — Duplicate Key Report + Numeric Interval Filter","description":"Label review — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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-12-059?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ysmiS7pE_lJFadnfwAvSN","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 label review data: a duplicate key detection report and a numeric interval filter on reviewed_records or changed_labels, for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and a numeric interval filter on my label review data? I have 4 rows across groups 'group-a' and 'group-b', dated 2026-10-01 through 2026-10-04, with reviewed_records values ranging from 10 to 30 and changed_labels from 1 to 4 — filter the reviewed_records field between 0 and 25.","exampleUseCases":[{"title":"Audit annotation batch for duplicate IDs","prompt":"I have a batch of 150 label review records with row IDs, dataset groups, dates, reviewed record counts, and changed label counts — can you run a duplicate key report to find any repeated row IDs, and also filter the reviewed_records field to only show rows between 5 and 100?"},{"title":"QA filter on changed labels range","prompt":"Run two reports on my label review CSV data: first, flag any duplicate row keys; second, filter the changed_labels field to only include rows where the value is between 1 and 50. I have about 80 rows across three dataset groups."},{"title":"Weekly review data integrity check","prompt":"Every week I export label review records with row IDs, dates, and both reviewed_records and changed_labels counts — can you check for duplicate row_id keys in this week's 60 rows, and also give me only the rows where reviewed_records falls between 10 and 200?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values across the submitted dataset, and (2) a numeric interval filter listing rows where the chosen field (reviewed_records or changed_labels) falls within the specified minimum and maximum bounds. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the row limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum produces an empty or invalid interval filter result","Null values in the selected numeric field may be excluded from interval filter results","Invalid field enum value (not reviewed_records or changed_labels) causes a validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit a label review dataset for duplicate row identifiers and filter rows by a numeric range on either the reviewed_records or changed_labels field, all within a single $0.01 call covering up to 200 rows. It is ideal for data quality checks on annotation or ML labeling pipelines where no external lookup or live data is needed — just local, deterministic analysis of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:02.330Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-duplicate-key-report-numeric-interval-filter-e34ec127"}