{"uid":"cap_3FJldDuQ5kSxAeKTtnmcX","slug":"numeric-precision-comparisons-interval-filter-iqr-outlier-flags-bfe6a32f","name":"Numeric Precision Comparisons — Interval Filter + IQR Outlier Flags","description":"Numeric precision comparisons — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied numeric precision comparisons records (source_value, transformed_value). 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-20-130?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_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_R_P-DJ1g3FHRP1nvLvnAc","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 user-supplied source_value/transformed_value pairs, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 50 rows of source and transformed values from my ETL pipeline — can you run an interval filter keeping values between 0 and 500, and also flag any IQR outliers in the source_value field across these records?","exampleUseCases":[{"title":"ETL pipeline transformation validation","prompt":"I just ran a data transformation on our sales figures and I want to check for outliers. Here are 120 rows with row_id, dataset_group, date, source_value, and transformed_value — please filter to values between 10 and 10000 and flag any IQR outliers in the transformed_value field."},{"title":"Sensor reading anomaly detection","prompt":"I've got 80 rows of sensor readings where source_value is the raw reading and transformed_value is the calibrated output. Can you filter for values between -50 and 200 and identify which readings are IQR outliers in the source_value column?"},{"title":"Financial data precision audit","prompt":"We have 150 rows of financial records with original and rounded values. Please run an interval filter between 0 and 1000000 and flag any IQR outliers in source_value so we can catch precision issues before the report goes out."}],"resultDescription":"Two analytical reports per call: (1) a numeric interval filter report listing which rows fall within or outside the specified [minimum, maximum] range for the chosen field, and (2) an IQR outlier flag report identifying which rows are statistical outliers based on interquartile range analysis — both computed locally on the supplied data, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors","Values outside ±1,000,000,000,000 are rejected by schema","Invalid date format (not YYYY-MM-DD) causes rejection","minimum greater than maximum produces undefined or empty interval filter results","Payment of 0.01 USDC not provided or rejected blocks the call"],"whenToPreferThis":"Choose this endpoint when you need both interval-range filtering and IQR outlier detection on numeric source/transformed value pairs in a single call, especially for ETL validation, data transformation auditing, or numeric precision checks on datasets up to 200 rows. It is a low-cost ($0.01 USDC), self-contained analytical service requiring no external data sources or live lookups, making it ideal for offline or batch data quality checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:35.004Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-interval-filter-iqr-outlier-flags-bfe6a32f"}