{"uid":"cap__3PC8B6ztIK8TPywcRFvo","slug":"numeric-precision-comparisons-analytics-record-quality-audit-exact-3834ac5a","name":"Numeric Precision Comparisons Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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-20-212?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}}},"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_ArFTZrgs-B4CrTXeLPA3x","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 local analytical reports (record quality audit, exact row deduplication, and category frequencies) on up to 200 rows of numeric source/transformed value pairs, all for $0.01 USDC.","exampleAgentPrompt":"Can you run the three-report analytics bundle on my numeric transformation records — record quality audit, exact deduplication, and category frequencies — for these rows: row-1 in group-a on 2026-10-01 with source_value 10 and transformed_value 1, row-2 in group-b on 2026-10-02 with source 20 and transformed 2, and row-3 in group-a on 2026-10-03 with source 15 and transformed 3?","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I've got 150 rows from my ETL pipeline with source and transformed numeric values — can you run the record quality audit, exact row deduplication, and category frequency reports on them so I can see if any rows are malformed, duplicated, or unevenly distributed across groups?"},{"title":"Data migration deduplication check","prompt":"We migrated data from our old system and I suspect there are duplicate rows. Can you run the exact row deduplication report along with the record quality audit on these 80 records, each with a row_id, dataset_group, date, source_value, and transformed_value?"},{"title":"Category distribution analysis for numeric groups","prompt":"I have numeric precision comparison records across four dataset groups and I need to see how many records fall into each category — can you run the category frequencies report plus the record quality audit on my 200 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging malformed, null, or out-of-range values in the source_value and transformed_value fields; (2) an exact row deduplication report identifying fully matching duplicate rows; and (3) a category frequencies report counting record occurrences per dataset_group. All computed locally with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","Rows array exceeding 200 items is rejected at schema level","Invalid date format (not YYYY-MM-DD) causes schema validation failure","source_value or transformed_value outside ±1,000,000,000,000 is rejected","row_id missing or empty string causes schema validation failure","Payment not included or insufficient USDC results in 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need all three analytics (quality audit, deduplication, and category frequencies) on a small-to-medium dataset of numeric transformation records (up to 200 rows) in a single low-cost call. It is ideal for ETL validation, data migration checks, or transformation pipeline QA where no external data lookups or predictions are needed and you want deterministic, locally-computed results.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:42.900Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-analytics-record-quality-audit-exact-3834ac5a"}