{"uid":"cap_TF7Yp60lI5rOrbNMMBEjf","slug":"label-review-analytics-numeric-row-ordering-numeric-interval-filter-a6a61eff","name":"Label Review Analytics — Numeric Row Ordering + Numeric Interval Filter","description":"Label review — Numeric row ordering + Numeric interval filter: Numeric row ordering + 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-12-113?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_pDCc-3JigCkUf5qh6_orr","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":"Sorts label review records by a numeric field and filters rows within a specified numeric interval, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Sort my label review records by reviewed_records and also filter to only show rows where reviewed_records is between 10 and 50 — here are my rows: row-1 on 2026-10-01 in group-a with 10 reviewed_records and 1 changed_labels, row-2 on 2026-10-02 in group-b with 20 reviewed_records and 2 changed_labels.","exampleUseCases":[{"title":"Prioritize high-activity annotation batches","prompt":"I have 80 label review records across multiple dataset groups and I want to rank them by reviewed_records from highest to lowest, and also filter down to only the rows where reviewed_records falls between 15 and 75 — can you run both analyses?"},{"title":"Audit changed labels within acceptable range","prompt":"Run a numeric sort on my label review data by changed_labels, and also filter to only rows where changed_labels is between 0 and 5, so I can spot any anomalies — I'll paste in my 40 rows."},{"title":"Slice annotation review data for a date range report","prompt":"I've got label review records for group-a and group-b for October 2026 and I need them sorted by reviewed_records, plus a filtered view showing only rows with reviewed_records between 20 and 100."}],"resultDescription":"Returns two reports: one with rows numerically ordered by the selected field (reviewed_records or changed_labels), and one with rows filtered to only those where the selected field value falls within the specified minimum–maximum interval. Up to 200 input rows are supported per call.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format in row data — must match YYYY-MM-DD pattern","Minimum value greater than maximum value — may return empty interval filter result","Null numeric values in the target field — rows may be excluded or handled as missing","Missing required row fields (row_id, reviewed_records, changed_labels) — validation error"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ordering and interval-based filtering on label review data (reviewed_records or changed_labels) in a single call. It is ideal for ML annotation workflows, data quality audits, and label change monitoring where you want ranked and range-bounded views of the same dataset without building custom sort/filter logic. Best for datasets up to 200 rows where no live lookup or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:15.398Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-row-ordering-numeric-interval-filter-a6a61eff"}