{"uid":"cap_5mlGg_C63RhPVTCixxa7l","slug":"null-coverage-analytics-equal-width-histogram-iqr-outlier-flags-8b0a0d39","name":"Null Coverage Analytics: Equal-Width Histogram + IQR Outlier Flags","description":"Null coverage — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags for supplied null coverage records (missing_values, total_values). 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-03-170?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","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"}}},"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_EkU911wBCKv__BggVsSAe","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 null coverage data (missing_values or total_values) across up to 200 supplied rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Analyze the distribution of missing_values across these 5 dataset groups and flag any IQR outliers using 10 histogram bins: [row-1, group-a, 2024-01-01, missing_values=50, total_values=500], [row-2, group-b, 2024-01-02, missing_values=5, total_values=300], [row-3, group-a, 2024-01-03, missing_values=200, total_values=400], [row-4, group-c, 2024-01-04, missing_values=12, total_values=350], [row-5, group-b, 2024-01-05, missing_values=180, total_values=600].","exampleUseCases":[{"title":"Daily data quality audit","prompt":"I have 150 rows of daily null coverage records across 8 dataset groups from last month — can you build a 10-bin histogram and flag any IQR outliers in the missing_values field so I can see which days had abnormal null rates?"},{"title":"Comparing total values distribution","prompt":"Run a histogram with 8 bins on the total_values field for these 50 dataset records and highlight any rows that fall outside the IQR bounds — I want to spot datasets that are unusually large or small."},{"title":"Weekly missing data anomaly detection","prompt":"Here are 200 rows of null coverage data across groups A, B, and C for the past quarter — use 15 bins and flag IQR outliers on missing_values so I can identify which dataset groups consistently have data quality problems."}],"resultDescription":"Returns 2 independent analytical reports: (1) an equal-width histogram dividing the chosen field (missing_values or total_values) into the specified number of bins with row counts per bin, and (2) an IQR-based outlier report flagging rows whose values fall below Q1-1.5*IQR or above Q3+1.5*IQR. All analysis is performed locally on supplied data with no external lookups.","failureModes":["rows array exceeds 200 items — request rejected","missing required fields (row_id, missing_values, total_values, date, dataset_group) in any row — validation error","bins value outside 1-30 range — validation error","invalid date format (not YYYY-MM-DD) — schema rejection","null values in the target field may affect IQR computation","field enum value not 'missing_values' or 'total_values' — rejected"],"whenToPreferThis":"Choose this endpoint when you have pre-collected null coverage records (missing_values and total_values per row) and need fast, local statistical profiling — specifically an equal-width histogram plus IQR outlier detection — without any external data lookups, predictions, or live data sources. Best suited for batch data quality audits of up to 200 rows where you want two complementary views (distribution shape + anomaly flags) in a single call at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:09.794Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-equal-width-histogram-iqr-outlier-flags-8b0a0d39"}