{"uid":"cap_26uyTDHa11HVZ5yTgfCj9","slug":"transformation-throughput-analytics-record-quality-audit-exact-row-3788cbe1","name":"Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Transformation throughput — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-210?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"}}},"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_gPVG3a2ZF_KlS_yADf6oM","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 simultaneous analytical reports — record quality audit, exact row deduplication, and numeric distribution — on transformation throughput data (processed_rows, duration_seconds) for up to 200 rows.","exampleAgentPrompt":"Can you run a full quality audit, exact deduplication check, and numeric distribution analysis on my transformation throughput records — here are 50 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and profile the processed_rows field?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have 120 rows of transformation job logs with processed_rows and duration_seconds — can you run a record quality audit, check for exact duplicate rows, and show me the numeric distribution of processed_rows so I know if my ETL pipeline output looks clean?"},{"title":"Deduplication audit for daily pipeline runs","prompt":"My data team suspects there are duplicate entries in our daily transformation throughput records. Run an exact row deduplication check plus a quality audit and numeric distribution on these 80 rows, focusing on the duration_seconds field."},{"title":"Distribution profiling for capacity planning","prompt":"I want to understand the spread of processed_rows across our different dataset groups — can you run a numeric distribution report plus a quality audit and dedup check on these 200 transformation throughput records to help me plan capacity?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) an exact row deduplication report identifying fully identical records; (3) a numeric distribution summary (e.g. min, max, mean, percentiles, count) for the selected numeric field (processed_rows or duration_seconds). All computed locally from the submitted data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) causes row-level rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Selecting a field not in the enum (processed_rows, duration_seconds) returns a parameter error","Empty rows array returns a minItems validation error"],"whenToPreferThis":"Choose this endpoint when you need three combined data quality reports — quality audit, deduplication, and numeric distribution — on transformation throughput records in a single $0.01 call. Ideal for lightweight, offline profiling of ETL pipeline output without any external lookup or prediction. Use it when your dataset is under 200 rows and you want fast, local analytical results on processed_rows or duration_seconds metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:25.111Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-exact-row-3788cbe1"}