{"uid":"cap_s9Yuwr9L8w1V-t8Kn9MIj","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-6dc4e0c3","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + 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-20-210?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_3IFyfje4wBfMLYEhuwHTF","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 numeric distribution) on supplied source_value/transformed_value numeric comparison data for up to 200 rows.","exampleAgentPrompt":"Can you run the three-report analytics bundle on these 50 rows of source vs. transformed sales figures — I need the record quality audit, exact duplicate check, and numeric distribution for source_value — here's the data in the format with row_id, dataset_group, date, source_value, and transformed_value?","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I just ran a numeric ETL pipeline and have 120 rows with source_value and transformed_value fields. Can you run the record quality audit, deduplication check, and distribution summary on the source_value column so I can see if the transformation introduced any issues?"},{"title":"Duplicate transaction record detection","prompt":"We have 80 financial transaction rows with original and adjusted amounts — please check them for exact duplicate rows and also give me the numeric distribution of the transformed_value column alongside a quality audit."},{"title":"Data reconciliation spot-check","prompt":"Here are 35 rows from our reconciliation table with dataset_group 'Q3-sales', each with a source_value and transformed_value. Run all three reports — quality audit, deduplication, and distribution — on the source_value field so we can sign off on this batch."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, missing values, and anomalies across the supplied rows; (2) an exact row deduplication report identifying fully duplicate records; (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected field (source_value or transformed_value). All computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds max batch size","Invalid date format (not YYYY-MM-DD) — schema validation error","source_value or transformed_value outside ±1,000,000,000,000 — rejected","Missing required fields (row_id, dataset_group, date) — validation failure","Invalid field enum value (not 'source_value' or 'transformed_value') — error"],"whenToPreferThis":"Choose this endpoint when you need a bundled three-in-one local analytics pass (quality audit + deduplication + distribution) on a small-to-medium numeric comparison dataset (up to 200 rows) with source and transformed value pairs. It is ideal for ETL validation, data reconciliation spot-checks, and pipeline QA where no external data lookup or prediction is needed and cost efficiency (one $0.01 call for all three reports) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:24.681Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-6dc4e0c3"}