{"uid":"cap_l5O9y5l-ORSn_iqtxzzL0","slug":"numeric-precision-comparisons-record-quality-audit-numeric-distribution-eb1e27bc","name":"Numeric Precision Comparisons — Record Quality Audit + Numeric Distribution","description":"Numeric precision comparisons — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-20-004?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_CEluBYtOPesUx1qIgFKDQ","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 analytical reports (record quality audit and numeric distribution) on up to 200 rows of paired source/transformed numeric values, entirely offline with no external lookups.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on these 50 rows of source and transformed values from my group-a pipeline dated 2025-06-01 through 2025-06-10 — I want to check the source_value field for quality issues and distribution patterns?","exampleUseCases":[{"title":"ETL transformation validation audit","prompt":"I just ran a data transformation pipeline on our sales figures — can you audit these 120 rows of source_value and transformed_value pairs from dataset group 'sales-q2', dated from 2025-04-01 to 2025-06-30, and give me both a record quality report and a numeric distribution breakdown of the source_value field?"},{"title":"Null and outlier detection in sensor data","prompt":"We have 80 sensor readings where source_value is raw and transformed_value is the calibrated output — run a quality audit and distribution profile on the transformed_value field for group 'sensor-batch-7' so I can spot any nulls or outliers introduced during calibration."},{"title":"Pre-publish data quality check","prompt":"Before we publish this dataset, can you check the quality and numeric distribution of the source_value column across these 200 rows from our 'finance-ledger' group — I need to confirm there are no precision issues or skewed distributions before it goes live?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering issues such as null values, out-of-range values, and data completeness across the supplied rows; and (2) a numeric distribution report covering statistical spread (e.g. min, max, mean, percentiles, skew) for the selected field — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint enforces a 200-row maximum","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) on any row causes validation failure","Date field not in YYYY-MM-DD format causes schema rejection","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems: 1 not met) returns error","Payment of 0.01 USDC not included or fails — request is rejected with 402"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline, dual-report analysis of paired numeric values (source vs. transformed) without any live data lookups or external API calls. It is ideal for ETL validation, data quality audits before publishing, or distribution profiling of up to 200 rows. Prefer it over general-purpose analytics when you specifically need both a quality audit and a distribution summary in a single cost-effective call at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:58.249Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-numeric-distribution-eb1e27bc"}