{"uid":"cap_zN1QAsMlhVQ-8pcBQKlpH","slug":"numeric-precision-comparisons-iqr-outlier-flags-keyed-dataset-c8e2436e","name":"Numeric Precision Comparisons — IQR Outlier Flags + Keyed Dataset Comparison","description":"Numeric precision comparisons — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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-20-179?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":17,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":33,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":0}}},"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_MdY-MxINZhLfK8pagyp5L","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 statistical reports on supplied numeric rows: IQR-based outlier flagging and keyed dataset comparison between a primary and alternate dataset (up to 200 rows each).","exampleAgentPrompt":"Can you run IQR outlier flagging and a keyed dataset comparison on my two numeric datasets — the primary has rows like row-1 on 2026-10-01 with source_value 10 and transformed_value 1, and the alternate has the same row IDs but slightly different values — analyze the source_value field and tell me which rows are outliers and what the key-level differences are?","exampleUseCases":[{"title":"ETL pipeline transformation validation","prompt":"I ran a data transformation on my sales pipeline and want to verify nothing went crazy — here are my 150 rows with original and transformed revenue figures. Can you flag any IQR outliers in source_value and also compare the primary dataset against the alternate version I have from last week's run, keyed by row ID?"},{"title":"Detecting anomalies in financial records","prompt":"I have 80 rows of transaction amounts, each with a source_value and a transformed_value after normalization. Please run the IQR outlier check on source_value and also do a keyed comparison between my current dataset and a prior snapshot to see what changed."},{"title":"QA check on ML feature engineering","prompt":"Before I feed this into my model, can you check my 60 engineered feature rows for outliers using IQR on the transformed_value field, and also compare the primary feature table against the baseline dataset by row ID to highlight any discrepancies?"}],"resultDescription":"Returns two independent analytical reports: (1) an IQR outlier flagging report identifying which rows fall outside the interquartile range for the selected numeric field, and (2) a keyed dataset comparison report highlighting differences between the primary and alternate datasets matched by row_id. Both reports are computed locally with no external lookups.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — request rejected","source_value or transformed_value outside ±1,000,000,000,000 — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","row_id missing or exceeds 80 characters — rejected","field enum value not 'source_value' or 'transformed_value' — validation error","Mismatched row_ids between primary and alternate datasets may result in empty or partial comparison report"],"whenToPreferThis":"Choose this endpoint when you need to run both IQR outlier detection and a keyed dataset comparison in a single low-cost call on up to 200 rows of numeric data. It is ideal for data quality checks on ETL pipelines, before-and-after transformation validation, and statistical anomaly detection without requiring external data sources. It is not suitable for real-time streaming analysis, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:36.331Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-iqr-outlier-flags-keyed-dataset-c8e2436e"}