{"uid":"cap_CnDY7U8D3WNzJ0Cf-f9Ua","slug":"sampling-observations-numeric-interval-filter-iqr-outlier-flags-1864f533","name":"Sampling Observations — Numeric Interval Filter + IQR Outlier Flags","description":"Sampling observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied sampling observations records (sample_value, sample_weight). 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-15-130?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"},"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_YVAUXLzKnTTbyPfqwu9ju","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 sampling observation rows to a numeric interval and flags IQR-based outliers for sample_value or sample_weight fields, producing two analytical reports per call.","exampleAgentPrompt":"I have up to 200 sampling observation rows with sample_value and sample_weight columns — can you filter sample_value between 0 and 100 and flag any IQR outliers across all rows, giving me both the interval filter report and the outlier flags report?","exampleUseCases":[{"title":"Survey response outlier detection","prompt":"I have 150 survey response rows with sample_value scores — filter them to values between 0 and 500 and flag any IQR outliers in the sample_value field so I can see which responses are anomalous."},{"title":"Weighted sample quality audit","prompt":"Can you run an IQR outlier check on the sample_weight field for my 80 observation records, filtering to weights between 1 and 1000, so I know which rows have extreme weighting before I run my analysis?"},{"title":"Lab measurement range validation","prompt":"I've got 60 lab measurement rows grouped by experiment — filter sample_value to the range -50 to 50 and give me both the interval filter report and IQR outlier flags so I can spot any bad readings."}],"resultDescription":"Two analytical reports: (1) rows that fall within the specified numeric interval for the chosen field, and (2) IQR-based outlier flags identifying which rows have extreme values relative to the interquartile range — both computed locally on the supplied data, up to 200 rows.","failureModes":["Fewer than 1 row supplied — minItems violation returns validation error","More than 200 rows supplied — maxItems violation returns error","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","minimum greater than maximum may produce empty interval filter result","Null values in sample_value or sample_weight may affect IQR computation","Field enum value other than 'sample_value' or 'sample_weight' causes rejection","Payment failure (insufficient USDC) results in 402 response before processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation rows and need both a numeric interval filter and IQR outlier detection in a single call without sending data to external services — ideal for lightweight statistical QA on survey, lab, or weighted sample data where privacy or cost matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:59.123Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-interval-filter-iqr-outlier-flags-1864f533"}