{"uid":"cap_6h-wcPuF_mcb6MOaBcfIm","slug":"numeric-precision-comparisons-record-quality-audit-string-e73474dd","name":"Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Numeric precision comparisons — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-193?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_-vOQ7C64n-1Y9TZVmzFby","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 three independent analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of numeric source/transformed value pairs, entirely via local engines with no external lookups.","exampleAgentPrompt":"Can you run the record quality audit, string normalisation, and numeric distribution reports on these 50 rows of my ETL output — the source_value and transformed_value fields are the ones I care about, grouped by 'group-a' and 'group-b'?","exampleUseCases":[{"title":"ETL pipeline precision validation","prompt":"I just ran my ETL pipeline and I want to check whether the numeric transformations preserved precision correctly — can you audit these 120 rows comparing source_value to transformed_value, grouped by region, and give me the quality audit plus distribution report?"},{"title":"Data migration anomaly detection","prompt":"We migrated data from our old system last week and I need to verify the numbers didn't get rounded or corrupted — please run all three analytical reports on these 200 rows of source and transformed values dated from 2025-01-01 to 2025-01-31."},{"title":"Batch numeric distribution profiling","prompt":"Can you profile the numeric distribution and check for string normalisation issues across these 80 rows from our 'revenue' dataset group, using the transformed_value field, so I can see how the values are spread?"}],"resultDescription":"Returns three independent reports per call: (1) a record quality audit flagging nulls, anomalies, and completeness issues; (2) a string normalisation report on the value fields; and (3) a numeric distribution summary (min, max, mean, percentiles, spread) — all computed locally from the supplied rows with no external data sources.","failureModes":["Exceeding 200 rows causes rejection — batch must be split","Invalid date format (not YYYY-MM-DD) triggers schema validation error","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Missing required fields (row_id, dataset_group, date) cause validation failure","Non-numeric values in source_value or transformed_value fields fail schema checks"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality reports — quality audit, string normalisation, and numeric distribution — on a batch of numeric comparison rows (source vs transformed) at low cost ($0.01 for all three). Ideal for ETL validation, data migration checks, and numeric pipeline auditing where no live external data or predictive models are needed. Prefer this over single-report endpoints when all three report types are relevant to your batch.","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-string-e73474dd"}