{"uid":"cap_hf7C8aV_HwfsuwrDVm4o7","slug":"label-review-equal-width-histogram-iqr-outlier-flags-ab93d99b","name":"Label Review — Equal-Width Histogram + IQR Outlier Flags","description":"Label review — Equal-width histogram + IQR outlier flags: Equal-width histogram + 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-12-170?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_yenCedm_uubSXZS8aMr9k","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":"Generates an equal-width histogram and IQR-based outlier flags for label review records (reviewed_records and changed_labels fields), producing 2 independent analytical reports from supplied data up to 200 rows.","exampleAgentPrompt":"Analyze my label review data for outliers and histogram distribution — here are 50 rows with row_id, dataset_group, date, reviewed_records, and changed_labels — run it on the reviewed_records field with 10 bins and flag any IQR outliers.","exampleUseCases":[{"title":"Annotation pipeline quality audit","prompt":"I have 120 rows of daily label review logs with reviewed_records and changed_labels columns — can you bin the reviewed_records field into 8 equal-width buckets and flag any outlier sessions using IQR?"},{"title":"Detecting abnormal label change spikes","prompt":"Flag any days where changed_labels looks like an outlier across my 60-row label review dataset, and give me a 5-bin histogram so I can see the distribution."},{"title":"Comparing review throughput across dataset groups","prompt":"Here's my label review CSV with group-a and group-b entries across 90 rows — run a histogram with 10 bins and IQR outlier detection on the reviewed_records field so I can spot which groups are behaving abnormally."}],"resultDescription":"Two independent analytical reports: (1) an equal-width histogram showing bin ranges and counts for the selected field (reviewed_records or changed_labels), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally from the supplied data with no external lookups.","failureModes":["Rows array empty or missing required fields (row_id, date, reviewed_records, changed_labels) returns validation error","More than 200 rows submitted exceeds max item limit","bins value outside 1–30 range rejected","Invalid date format (non YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect IQR computation accuracy","Field enum value other than reviewed_records or changed_labels rejected"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of label review data — specifically distribution binning and outlier detection — without any external API calls or ML predictions. Ideal for ML ops teams auditing annotation pipelines, data quality engineers reviewing label change rates, or anyone needing a quick statistical snapshot of up to 200 label review records at minimal cost ($0.01 for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:12.020Z","isFirstParty":false,"canonicalSlug":"label-review-equal-width-histogram-iqr-outlier-flags-ab93d99b"}