{"uid":"cap_DXjNVBjJRkbiCKWFlFNaU","slug":"label-review-numeric-interval-filter-adjacent-row-changes-5c911c83","name":"Label Review — Numeric Interval Filter + Adjacent Row Changes","description":"Label review — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-12-127?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_HFSfpS7naMDIUjhNFWJPQ","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":"Applies a numeric interval filter and detects adjacent row changes on label review data (reviewed_records, changed_labels) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have 120 label review rows with columns row_id, dataset_group, date, reviewed_records, and changed_labels — can you filter on reviewed_records between 10 and 500, and also show me wherever adjacent rows changed in that field?","exampleUseCases":[{"title":"Audit annotation session outliers","prompt":"I've got a batch of label review logs from our annotation team — 80 rows with date, dataset_group, reviewed_records, and changed_labels. Can you filter reviewed_records to only the rows between 20 and 300, and flag where the value shifted between consecutive rows?"},{"title":"Spot label churn in consecutive sessions","prompt":"Here are 150 label review records across two dataset groups. I want to see adjacent row changes in changed_labels and also which rows fall between a minimum of 0 and maximum of 15 changed labels — run both reports for me."},{"title":"Quality check on review throughput range","prompt":"I need to QA our label review throughput data — 60 rows with reviewed_records and changed_labels. Filter reviewed_records to the interval 50 to 250 and show me anywhere the count jumped or dropped between neighboring rows."}],"resultDescription":"Returns two analytical reports: (1) rows from the input dataset whose selected field (reviewed_records or changed_labels) falls within the specified [minimum, maximum] numeric interval, and (2) a list of adjacent row changes identifying where the selected field's value differs between consecutive rows, all computed locally from the supplied data without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error","minimum greater than maximum — may return empty interval filter result","Non-date-formatted string in date field — schema validation failure","Payment not completed via x402 — request blocked"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data and need two specific analytical views — numeric range filtering and consecutive-row change detection — computed together in a single $0.01 call. It is purpose-built for label annotation audit workflows and MLOps quality checks where you want to identify out-of-range records and detect sequential shifts 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":"2026-10-15T12:38:47.112Z","isFirstParty":false,"canonicalSlug":"label-review-numeric-interval-filter-adjacent-row-changes-5c911c83"}