{"uid":"cap_6sQMJFLwYx05iHcBY87V3","slug":"label-review-numeric-interval-filter-iqr-outlier-flags-49a5b977","name":"Label Review — Numeric Interval Filter + IQR Outlier Flags","description":"Label review — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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-12-130?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_jvQVNUVJJrfq1JlukMmfL","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 IQR-based outlier detection to label review records (reviewed_records, changed_labels), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run the numeric interval filter and IQR outlier check on my label review data? Filter the reviewed_records field to the range 0–100, and flag any outliers across these rows: row-1 (group-a, 2026-10-01, reviewed=10, changed=1), row-2 (group-b, 2026-10-02, reviewed=20, changed=2), row-3 (group-a, 2026-10-03, reviewed=15, changed=3).","exampleUseCases":[{"title":"Flag annotation pipeline anomalies","prompt":"I've got 150 rows of daily label review records across two dataset groups — can you run the IQR outlier detection and interval filter on the changed_labels field with a minimum of 0 and maximum of 500 to find anything suspicious?"},{"title":"Validate reviewed record counts before reporting","prompt":"Before I send my weekly QA report, can you check these label review rows for out-of-range reviewed_records values between 5 and 200, and also flag any IQR outliers? Here's the data for the last 30 days across groups A and B."},{"title":"Spot skewed labeling days in annotation audit","prompt":"I'm auditing our annotation team's output — can you apply the numeric interval filter (minimum 0, maximum 1000) and IQR outlier flags on the reviewed_records column for all 80 rows I'm sending, grouped by dataset_group?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric interval filter report identifying which rows fall within or outside the specified [minimum, maximum] range for the chosen field, and (2) an IQR outlier flagging report identifying statistically extreme rows based on interquartile range analysis — all computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation error","Non-numeric values in reviewed_records or changed_labels fields when numbers expected — parsing error","minimum greater than maximum — may produce empty interval filter result","Insufficient data spread for meaningful IQR calculation (e.g. all identical values) — outlier report may show no flags"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous statistical reports — numeric range filtering AND IQR-based outlier detection — on label review data (reviewed_records, changed_labels) for up to 200 rows at minimal cost ($0.01 USDC). Prefer it over general-purpose analytics when your data conforms to the label review schema with date, row_id, and dataset_group identifiers. It is a local computation engine with no external dependencies, making it fast and deterministic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:50.731Z","isFirstParty":false,"canonicalSlug":"label-review-numeric-interval-filter-iqr-outlier-flags-49a5b977"}