{"uid":"cap_a2tkziMa69zlsw3QezUXZ","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-099beb4a","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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-20-214?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_nnzbEAV9jpptKjXQNrJUH","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 on supplied numeric precision comparison rows: a record quality audit, exact row deduplication, and a numeric interval filter — all against user-supplied source_value/transformed_value data, no external lookups.","exampleAgentPrompt":"Can you run the three-report numeric analytics bundle on my dataset — record quality audit, exact row deduplication, and filter for source_value between 0 and 100? Here are up to 200 rows with row_id, dataset_group, date, source_value, and transformed_value fields.","exampleUseCases":[{"title":"ETL pipeline numeric transformation audit","prompt":"I've got a batch of 150 ETL output rows with source_value and transformed_value columns — can you run a record quality audit and exact deduplication on them, and also filter rows where source_value is between 50 and 500? The rows are tagged with dataset_group and dates from 2026-10-01 onward."},{"title":"Duplicate detection in financial data","prompt":"I need to find exact duplicate rows in my financial dataset — it has about 80 records with row_id, date, dataset_group, source_value, and transformed_value. Also give me a quality audit and filter transformed_value between -1000 and 1000."},{"title":"Interval outlier filtering for sensor readings","prompt":"Can you filter my sensor reading rows to only those where source_value falls between 10 and 999, and also run a quality audit and deduplication pass? I have around 60 rows with row_id, date, dataset_group, source_value, and transformed_value ready to upload."}],"resultDescription":"Three independent reports returned in a single response: (1) a record quality audit flagging issues like nulls or malformed fields, (2) an exact row deduplication report identifying duplicate records, and (3) a numeric interval filter report listing rows where the chosen field (source_value or transformed_value) falls within the specified minimum-maximum range. All computation is performed locally on the supplied data with no external data access.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, source_value, transformed_value, dataset_group) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema error","Minimum value greater than maximum value may return an empty interval filter result","Numeric values outside ±1,000,000,000,000 are rejected by schema constraints"],"whenToPreferThis":"Choose this endpoint when you need all three operations — quality audit, deduplication, and interval filtering — bundled into a single call against your own supplied numeric data (up to 200 rows), with no need for external data enrichment, live lookups, or predictions. It is cost-effective at $0.01 USDC for the three-report bundle and is ideal for ETL validation, data cleaning pipelines, or pre-analysis data hygiene checks on source-versus-transformed numeric pairs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:55.145Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-099beb4a"}