{"uid":"cap_d3vFfjZp6BGDiLPCco6ll","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-d9abc54b","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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-20-211?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_u_3XpYR-ov44bRaGGRiBA","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 bundled analytical reports (record quality audit, exact row deduplication, and grouped numeric summary) on user-supplied numeric precision comparison records containing source and transformed values.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and grouped numeric summary on these rows I'm sending — each row has a row_id, dataset_group, date, source_value, and transformed_value — and focus the analysis on the source_value field?","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I have up to 200 rows from my ETL pipeline output, each with a row_id, dataset_group, date, source_value, and transformed_value. Can you run all three reports — record quality audit, deduplication, and grouped numeric summary — focusing on the transformed_value field, so I can catch data quality issues before publishing?"},{"title":"Duplicate detection in financial records","prompt":"I've got a batch of financial records with source and transformed values that I suspect has duplicates. Please run the exact row deduplication report along with the quality audit and grouped numeric summary on the source_value field — my rows include row_id, dataset_group, date, source_value, and transformed_value."},{"title":"Group-level numeric statistics by category","prompt":"Can you give me a grouped numeric summary across dataset groups for my comparison dataset? Each record has a row_id, dataset_group like 'region-north' or 'region-south', a date, and both source_value and transformed_value columns — run all three bundled reports and focus on source_value."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and data completeness issues; (2) an exact row deduplication report identifying fully duplicate records; and (3) a grouped numeric summary with aggregate statistics (e.g. counts, sums, means) broken down by dataset_group — all computed locally on the supplied data without any external lookups.","failureModes":["Exceeds 200-row limit — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — row-level validation failure","Invalid date format (must be YYYY-MM-DD) — schema validation error","Numeric values outside allowed range (-1e12 to 1e12) — validation rejection","Empty rows array — minimum 1 item required","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, deduplication, and grouped summary) in a single low-cost call for up to 200 rows of source/transformed numeric comparison data. It is ideal for ETL validation workflows, data migration QA, and lightweight batch analytics where no external lookup, prediction, or live data is needed. Prefer it over single-report endpoints on this platform when you need all three analyses together for cost efficiency at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:43.251Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-d9abc54b"}