{"uid":"cap_4ORKD8Lwx2nz4gwkv65W7","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-800b89a6","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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-20-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_gEOT-iXMhKShc0BOYYEXY","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 independent analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 rows of numeric source/transformed value pairs for data quality and distribution analysis.","exampleAgentPrompt":"Run all three analytics reports — record quality audit, exact row deduplication, and equal-width histogram with 10 bins on the source_value field — on this dataset of up to 200 rows, where each row has a row_id, dataset_group, date, source_value, and transformed_value.","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have 150 rows from my ETL pipeline with source_value and transformed_value columns — can you run a record quality audit, deduplication check, and a 10-bin histogram on the source_value field so I can see if there are any bad records or duplicates?"},{"title":"Numeric distribution profiling","prompt":"Can you generate an equal-width histogram with 8 bins for the transformed_value field across my 80 numeric comparison records, along with a quality audit and duplicate scan, so I can understand the distribution of my transformed data?"},{"title":"Data transformation validation","prompt":"I need to validate my data transformation results — here are 200 rows each with a row_id, group label, date, source_value and transformed_value. Please run the quality audit, find any exact duplicate rows, and show me a 5-bin histogram on source_value."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging null, missing, or out-of-range values per row; (2) an exact row deduplication report identifying which rows are identical; and (3) an equal-width histogram of the selected numeric field (source_value or transformed_value) divided into the specified number of bins (1–30, default 5). All computed locally with no external lookups.","failureModes":["Exceeding 200 rows causes a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, dataset_group, date) cause validation failure","Bins parameter outside 1–30 range causes an error","Empty rows array is rejected","Payment failure results in no report being returned"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality reports — quality audit, deduplication, and histogram — on a batch of up to 200 numeric source/transformed value records for a flat fee of $0.01 USDC. It is ideal for ETL validation, data profiling, and transformation QA workflows where you want local, offline computation with no external API calls, predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:28.557Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-800b89a6"}