{"uid":"cap_ePLfGgQSd-NrnHVbDna85","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-5c9b8a0d","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report 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-20-209?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}}},"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_T8GWjEHRCUunw07fl9Ixg","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, exact row deduplication, and duplicate key report) on up to 200 rows of numeric precision comparison data (source_value vs transformed_value).","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication, and duplicate key report on these 5 rows of numeric precision data — each row has a row_id, dataset_group like 'group-a', a date like 2026-10-01, a source_value, and a transformed_value?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I just ran my ETL pipeline and need to verify the output — can you audit these 50 rows for record quality issues, find any exact duplicate rows, and flag any duplicate row_ids? Each row has a row_id, dataset_group, date, source_value, and transformed_value."},{"title":"Numeric transformation validation","prompt":"I have 120 rows comparing source values to their transformed equivalents across two dataset groups, and I need three reports: a quality audit, an exact deduplication check, and a duplicate key report — can you run all three on this data?"},{"title":"Pre-publish deduplication audit","prompt":"Before I publish this dataset, can you check these 80 rows — grouped by 'revenue' and 'cost' — for any exact duplicate records and duplicate row keys, and also give me an overall record quality audit?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit summarizing data completeness and anomalies in the supplied rows, (2) an exact row deduplication report identifying rows that are byte-for-byte identical, and (3) a duplicate key report flagging rows sharing the same row_id. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, date, source_value, transformed_value, dataset_group) cause validation rejection","Values outside ±1,000,000,000,000 are rejected","Invalid date format (not YYYY-MM-DD) causes schema rejection","Empty rows array (minItems: 1 violated) returns an error","Payment of 0.01 USDC required per call via x402 protocol — unpaid requests fail"],"whenToPreferThis":"Choose this endpoint when you need all three of: a record quality audit, exact row deduplication, and a duplicate key report in a single call for up to 200 rows of source/transformed numeric comparison data. It is cost-effective at $0.01 for three reports bundled together. Prefer it over single-report endpoints when you need comprehensive data quality coverage in one request. It is purely analytical — no external lookups or predictions are made, making it safe for sensitive data auditing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:45.845Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-5c9b8a0d"}