{"uid":"cap_8A6YYR8X-dB336S77h-tH","slug":"null-coverage-numeric-interval-filter-iqr-outlier-flags-a5d07453","name":"Null Coverage — Numeric Interval Filter + IQR Outlier Flags","description":"Null coverage — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-03-130?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"},"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_6rhN3vEUqjATTTGPVDDKa","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":"Filters null-coverage records by a numeric interval and flags IQR-based outliers across up to 200 rows, producing two analytical reports per call.","exampleAgentPrompt":"I have 150 rows of null coverage data with missing_values and total_values fields — can you filter them to keep only rows where missing_values is between 0 and 100, and also flag any IQR outliers in that field?","exampleUseCases":[{"title":"Daily data quality audit","prompt":"Run an outlier check on today's null coverage records — I have 80 rows across dataset groups 'sales' and 'inventory', and I want to filter missing_values between 0 and 500 while also flagging any IQR anomalies in that field."},{"title":"Threshold breach investigation","prompt":"I need to see which of my 120 null coverage records have total_values outside the range of 10 to 10000, and get IQR outlier flags on those same rows so I can spot the worst data quality issues."},{"title":"Multi-group coverage comparison","prompt":"Can you analyze null coverage for these 60 records from groups 'group-alpha' and 'group-beta'? Filter on missing_values between 5 and 250 and flag anything that's a statistical outlier by IQR so I know where to focus cleanup."}],"resultDescription":"Two independent analytical reports: (1) a filtered list of rows whose selected field (missing_values or total_values) falls within the specified [minimum, maximum] interval, and (2) IQR outlier flags identifying rows whose values fall beyond 1.5× the interquartile range — both derived from the supplied dataset of up to 200 rows with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds batch limit","Missing required fields (row_id, date, missing_values, total_values) — validation error","Date field not in YYYY-MM-DD format — schema validation failure","Field selector not one of 'missing_values' or 'total_values' — enum error","Minimum greater than maximum — may produce empty interval filter result","All values identical — IQR is zero, outlier detection produces no flags"],"whenToPreferThis":"Choose this endpoint when you have pre-collected null coverage records (missing_values, total_values) and need both interval-based filtering and IQR outlier detection in a single $0.01 call. It is ideal for data quality pipelines that need to identify rows with extreme or out-of-range null counts without requiring any external data sources or live lookups. Prefer it over general-purpose analytics when you specifically need two reports — interval filter and IQR flags — on the same batch of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:28.973Z","isFirstParty":false,"canonicalSlug":"null-coverage-numeric-interval-filter-iqr-outlier-flags-a5d07453"}