{"uid":"cap_ZM4ISdIMQzyWvrZk3qCTG","slug":"numeric-precision-comparisons-record-quality-audit-numeric-row-ordering-5d74beb6","name":"Numeric Precision Comparisons — Record Quality Audit & Numeric Row Ordering","description":"Numeric precision comparisons — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-20-007?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__dINGMLESWIE-G7XuNgIp","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 data quality and sorts rows numerically for up to 200 records containing source_value and transformed_value fields, producing two independent analytical reports.","exampleAgentPrompt":"I have 4 rows of source and transformed numeric values I want to audit — can you run a record quality audit and numeric row ordering report on them? The rows are: row-1 in group-a on 2026-10-01 with source 10 and transformed 1, row-2 in group-b on 2026-10-02 with source 20 and transformed 2, row-3 in group-a on 2026-10-03 with source 15 and transformed 3, and row-4 in group-b on 2026-10-04 with source 30 and transformed 4, ordering by source_value.","exampleUseCases":[{"title":"ETL pipeline numeric validation","prompt":"I ran an ETL job that transformed a batch of financial figures and I want to audit the output — here are 50 rows with row IDs, dates, dataset groups, source values and transformed values. Can you run a quality audit and numeric ordering report on them, sorting by source_value?"},{"title":"Data quality check before reporting","prompt":"Before I publish my monthly sales report I need to check data quality — I have 120 rows with original and adjusted sales figures across two groups, each tagged with a date and row ID. Can you audit the record quality and give me a ranked ordering by transformed_value?"},{"title":"Detect numeric drift across dataset groups","prompt":"I have two groups of measurement data — group-alpha and group-beta — each with up to 100 rows of before and after numeric readings. Can you run the record quality audit and numeric row ordering on all of them so I can spot which rows have the biggest discrepancies, ordering by source_value?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit assessing the supplied source_value and transformed_value pairs for quality issues such as nulls, outliers, or precision anomalies; and (2) a numeric row ordering report ranking all submitted rows by the specified field (source_value or transformed_value). Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, source_value, transformed_value, dataset_group) causes row rejection","Date strings not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Payment not provided or insufficient USDC results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need a fast, offline analytical double-report on small-to-medium numeric datasets (up to 200 rows) pairing a source value with a transformed value, and you want both a quality audit and a sorted ordering in one call for a flat $0.01 USDC fee. Prefer this over general-purpose analytics APIs when you specifically need side-by-side source vs. transformed numeric comparison without any external data enrichment, live lookups, or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:44.618Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-numeric-row-ordering-5d74beb6"}