{"uid":"cap_GkdYPnDeV0KMPbqSp2w69","slug":"numeric-precision-comparisons-record-quality-audit-string-7dc940da","name":"Numeric Precision Comparisons — Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Numeric precision comparisons — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-20-203?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_uOIZk5Ey0CzQHWJJ31p56","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 up to 200 rows of numeric source/transformed value pairs across three local analytical reports: record quality audit, string normalisation, and IQR-based outlier detection.","exampleAgentPrompt":"Can you run a full quality audit on my numeric precision comparison data — here are 50 rows each with a row_id, dataset_group, date, source_value, and transformed_value — and flag any outliers using IQR on the source_value field, plus normalize strings and check record quality?","exampleUseCases":[{"title":"ETL pipeline validation audit","prompt":"I just ran my ETL transformation and have 120 rows with source_value and transformed_value columns — can you audit their record quality, normalize any string inconsistencies, and flag which rows look like IQR outliers on the source_value field so I can catch bad transformations?"},{"title":"Outlier detection in financial data","prompt":"Here are 80 financial records with row_id, dataset_group, date, source_value, and transformed_value — please run an IQR outlier check on the transformed_value field, do a record quality audit, and normalize any string issues across the dataset."},{"title":"Data quality check before reporting","prompt":"Before I send this dataset to the reporting team, can you audit all 200 rows for record quality problems, normalize strings, and use IQR to flag any outlier values in the source_value field so I can clean things up first?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying malformed, null, or inconsistent records; (2) a string normalisation report correcting or flagging non-standard string representations; and (3) IQR-based outlier flags identifying statistically anomalous rows in the selected numeric field. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors","Dates not matching YYYY-MM-DD pattern result in schema rejection","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Invalid field enum value (anything other than source_value or transformed_value) causes a bad request"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) triple-report analytics pass on up to 200 rows of numeric precision comparison data — specifically combining record quality auditing, string normalisation, and IQR outlier detection in one call. Ideal for ETL validation, data pipeline QA, or pre-reporting data hygiene checks where no external data enrichment or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:41.732Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-string-7dc940da"}