{"uid":"cap_RQ3zsd3tb5GqngZ2leQDS","slug":"numeric-precision-comparisons-record-quality-audit-duplicate-key-report-680369d9","name":"Numeric Precision Comparisons — Record Quality Audit + Duplicate Key Report","description":"Numeric precision comparisons — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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-20-003?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__-wXp-OSadJ2LXeSIexPz","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":"Audits up to 200 rows of numeric source/transformed value pairs for record quality issues and duplicate row IDs, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key check on these 50 rows of source and transformed numeric values? The dataset has fields for row_id, dataset_group, date, source_value, and transformed_value — I want to know which rows have quality issues and whether any row IDs are duplicated.","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I just ran an ETL job that transformed raw financial figures and I need to audit the output — can you check these 120 rows with source_value and transformed_value pairs for record quality problems and flag any duplicate row IDs?"},{"title":"Data migration duplicate detection","prompt":"We migrated 180 records from our old system and I'm worried about duplicate keys sneaking in — please run a duplicate key report and quality audit on these rows, each with a row_id, dataset_group, date, source_value, and transformed_value."},{"title":"Numeric transformation regression check","prompt":"After our latest model update I have 95 rows of before-and-after numeric values I want to sanity-check — can you audit them for record quality issues and tell me if any row IDs are duplicated across the dataset_group and date combinations?"}],"resultDescription":"Two independent reports: (1) a record quality audit highlighting rows with data issues such as null values, out-of-range numbers, or malformed fields; and (2) a duplicate key report identifying any repeated row_id values across the submitted records. Both reports are generated from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, date, source_value, transformed_value, dataset_group) causes row-level validation failure","Dates not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline quality audit of numeric source-to-transformed-value pairs with duplicate key detection — especially for ETL validation, data migration checks, or regression testing of numeric transformations. It processes up to 200 rows and returns two structured reports in a single call for $0.01 USDC, making it ideal for lightweight, repeatable data quality checks without any external lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:45.288Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-duplicate-key-report-680369d9"}