{"uid":"cap_Fs6ln2UQgUa5yp5vfHNUp","slug":"transformation-throughput-record-quality-audit-duplicate-key-report-88323781","name":"Transformation Throughput — Record Quality Audit + Duplicate Key Report","description":"Transformation throughput — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-003?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}}},"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_mQsKP5eUNw7ADgHQMbPxh","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 transformation throughput records (processed_rows, duration_seconds) for data quality issues and duplicate row IDs, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key check on these 50 transformation throughput records I have — they include row IDs, dataset groups, dates, processed_rows counts, and duration_seconds values — and give me both reports?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I've got a batch of 120 transformation throughput records from our ETL jobs this month, each with a row ID, dataset group, date, processed_rows, and duration_seconds — can you audit them for quality issues and flag any duplicate row IDs?"},{"title":"Data engineering team daily validation","prompt":"Before we load today's pipeline metrics into the warehouse, run a quality audit and duplicate key report on these 85 records covering our processed_rows and duration_seconds fields — I need to catch any bad data or repeated row IDs first."},{"title":"Post-migration transformation audit","prompt":"We just migrated our transformation logs and I have 200 records with row IDs, dataset groups, dates, processed_rows, and duration_seconds — please check them for record quality problems and any duplicate keys so we know the migration is clean."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and malformed fields across the processed_rows and duration_seconds metrics; and (2) a duplicate key report identifying any repeated row_id values within the submitted dataset. Both reports are generated from the supplied data using local analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — validation error","Invalid date format (not YYYY-MM-DD pattern) — schema validation failure","row_id empty or exceeds 80 characters — rejected","Numeric values outside allowed range (±1,000,000,000,000) — schema error","Empty rows array — rejected due to minItems constraint"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a duplicate key check on transformation throughput data (processed_rows, duration_seconds) in a single call for up to 200 rows. It is ideal for data engineers validating ETL pipeline outputs before loading, performing post-migration checks, or routine data quality monitoring of batch processing metrics. Prefer it over generic validation tools when your data specifically follows the transformation throughput schema with row_id, dataset_group, date, processed_rows, and duration_seconds fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:00.955Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-duplicate-key-report-88323781"}