{"uid":"cap_ASXwkUJmyAgIMhiUqcNN4","slug":"numeric-precision-comparisons-record-quality-audit-iqr-outlier-flags-0ad293ee","name":"Numeric Precision Comparisons — Record Quality Audit + IQR Outlier Flags","description":"Numeric precision comparisons — Record quality audit + IQR outlier flags: Record quality audit + 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-20-014?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"}}},"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_fL4Y74eFX2wBcKJGvQPai","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":"Runs two local analytical reports on up to 200 rows of numeric source/transformed value pairs: a record quality audit and IQR-based outlier flagging.","exampleAgentPrompt":"Can you run a record quality audit and IQR outlier check on these 50 rows of source and transformed numeric values from my 'revenue' dataset group, using source_value as the field to analyze? Here are the rows with their row IDs and dates.","exampleUseCases":[{"title":"ETL pipeline numeric validation","prompt":"I just ran my nightly ETL job and want to check whether any of the transformed values look statistically suspicious compared to the source values — can you run a quality audit and IQR outlier flag on these 120 rows from the 'sales_totals' group for October?"},{"title":"Data migration integrity check","prompt":"We migrated a batch of financial records and I need to verify the transformed values didn't drift — please audit these 80 source_value/transformed_value pairs from group 'accounts_payable' dated 2025-01-15 and flag any IQR outliers in source_value."},{"title":"Anomaly detection before dashboard publish","prompt":"Before I publish this week's KPI dashboard, can you do a quick quality audit and outlier scan on these 35 rows of metric readings — group 'kpi_weekly', dates ranging 2025-03-01 to 2025-03-07 — and tell me which rows look like data quality problems?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, format problems, or inconsistencies across the supplied rows, and (2) IQR-based outlier flags marking which rows contain statistically extreme values in the selected numeric field. All analysis is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) in any row","Date field does not match YYYY-MM-DD pattern — validation error","Numeric values outside ±1,000,000,000,000 range — schema violation","Empty rows array submitted — minItems constraint violated","Payment not included or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline statistical quality audit of numeric source-to-transformed value pairs without any external data access or predictions. Ideal for ETL validation, data migration checks, and pre-publish anomaly detection on batches of up to 200 rows. The fixed $0.01 USDC price covers two full reports (quality audit + IQR outlier flags) simultaneously, making it cost-efficient compared to calling separate auditing and outlier-detection services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:39.889Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-iqr-outlier-flags-0ad293ee"}