{"uid":"cap_DuE4TOX71aw677r7hbfCs","slug":"numeric-precision-comparisons-record-quality-audit-trailing-mean-series-5dbcc81a","name":"Numeric Precision Comparisons — Record Quality Audit + Trailing Mean Series","description":"Numeric precision comparisons — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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-20-010?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_SBsBrgMYkYW5gkaCjmRkK","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":"Performs two analytical reports on supplied numeric pairs (source_value, transformed_value): a record quality audit and a trailing mean series, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and trailing mean series (window size 5) on my dataset — I'll provide up to 50 rows with source_value and transformed_value pairs, grouped by category, dated daily, and I want the analysis on the source_value field?","exampleUseCases":[{"title":"ETL pipeline transformation validation","prompt":"I have 80 rows from our ETL pipeline with original and transformed sales figures — can you run a record quality audit and a trailing mean series with a window of 7 on the source_value to check if our transformation is introducing precision errors?"},{"title":"Rolling average for financial data review","prompt":"We have 150 daily records of source and transformed revenue values across two business units — please compute the trailing mean series with a window of 10 on the transformed_value field and include the record quality audit so we can spot any bad rows."},{"title":"Data quality check before model training","prompt":"Before we train our model, can you audit these 40 rows of source_value and transformed_value pairs for record quality and also give me a trailing mean series with window size 3 on source_value? The rows span October 2026 and are grouped under 'group-a' and 'group-b'."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues at the row level for each source_value/transformed_value pair, and (2) a trailing mean series for the selected field (source_value or transformed_value) over the specified rolling window — both computed locally with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied causes rejection","Missing required fields (row_id, date, dataset_group, source_value, transformed_value) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Window size outside 2–200 range is rejected","Numeric values outside ±1,000,000,000,000 are rejected","Payment of 0.01 USDC not included causes authorization failure"],"whenToPreferThis":"Choose this endpoint when you need both a record-level data quality audit and a rolling mean time series computed together on a batch of up to 200 numeric comparison rows — especially for validating ETL transformations or numeric precision pipelines without any external data lookups or live predictions. It is cost-effective at $0.01 USDC for both reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:43.748Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-trailing-mean-series-5dbcc81a"}