{"uid":"cap_TIYxKdXsU4-tZlVIB-T7K","slug":"numeric-precision-comparisons-record-quality-audit-daily-sum-series-fb2e1d68","name":"Numeric Precision Comparisons — Record Quality Audit + Daily Sum Series","description":"Numeric precision comparisons — Record quality audit + Daily sum series: Record quality audit + Daily sum 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-20-009?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_bD4XXBV4p-AfyyGn9zhui","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 two analytical reports (record quality audit and daily sum series) on supplied numeric source/transformed value pairs, up to 200 rows, using local analytical engines.","exampleAgentPrompt":"Run a record quality audit and daily sum series on these 10 rows of source and transformed values — row IDs row-1 through row-10, dates from 2025-01-01 to 2025-01-10, dataset group 'sales-etl', and analyze the source_value field. I want both reports in one shot.","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I have 50 rows from our nightly ETL job with source_value and transformed_value for dataset group 'orders-pipeline', dated from 2025-06-01 to 2025-06-20. Run a record quality audit and daily sum series on the source_value field so I can see where the transformation introduced errors."},{"title":"Daily revenue aggregation check","prompt":"Can you run a daily sum series and record quality audit on these 120 rows of revenue data? They're from dataset group 'revenue-daily', dates spanning 2025-03-01 to 2025-06-30, and I want to audit the transformed_value field to make sure the totals add up correctly each day."},{"title":"Data quality review before reporting","prompt":"Before I send this dataset to the finance team, run both the record quality audit and the daily sum series on these 80 rows — dataset group 'finance-q2', covering 2025-04-01 to 2025-06-30 — focusing on source_value so I can flag any precision issues."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit that assesses each supplied row for precision discrepancies between source and transformed values, and (2) a daily sum series that aggregates the specified numeric field by date across all supplied rows. Both reports are computed locally without external lookups or predictions.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","source_value or transformed_value outside ±1,000,000,000,000 range rejected","Invalid field enum value (not 'source_value' or 'transformed_value') causes error","row_id missing or empty string fails minLength validation","Payment of 0.01 USDC not supplied or rejected causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a record-level quality audit and a daily aggregation series computed together in a single call for up to 200 rows of numeric source/transformed value pairs. It is ideal for ETL validation, data transformation QA, and daily summation checks where no external data lookup or prediction is needed. Prefer it over manual computation when you want a structured two-report output at low cost ($0.01 USDC for both).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:51.748Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-daily-sum-series-fb2e1d68"}