{"uid":"cap_OGQPzQwDXFYv9vdv8Jbzh","slug":"transformation-throughput-record-quality-audit-numeric-row-ordering-11f502e9","name":"Transformation Throughput — Record Quality Audit + Numeric Row Ordering","description":"Transformation throughput — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-13-007?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_rFZ8l4GCp--s8_Gk0A3gw","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 data quality and orders rows numerically for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you audit the data quality and rank the rows numerically by processed_rows for these transformation throughput records I have — 4 rows with dataset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, processed_rows values of 10, 20, 15, and 30, and duration_seconds of 1, 2, 3, and 4?","exampleUseCases":[{"title":"ETL pipeline run quality check","prompt":"I have 50 nightly ETL job records with processed_rows and duration_seconds — can you audit them for data quality issues and rank them by processed_rows so I can spot outliers?"},{"title":"Throughput anomaly detection across groups","prompt":"Run a quality audit on my transformation throughput data across dataset groups alpha and beta for October — I want to see which rows have bad values and how they rank by duration_seconds."},{"title":"Pre-deployment data validation for pipeline","prompt":"Before I sign off on this pipeline run, can you do a record quality check and numeric ordering report on these 120 throughput records? I need to make sure processed_rows and duration_seconds look clean."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging data issues, nulls, or anomalies in the supplied rows; and (2) a numeric row ordering ranking rows by the specified field (processed_rows or duration_seconds). No external lookups or predictions are made — analysis is performed locally on the supplied data only.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error returned","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not processed_rows or duration_seconds) — rejected","All numeric values are null — quality audit may return degenerate results","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and numeric row ranking on transformation throughput metrics (processed_rows, duration_seconds) in a single call for up to 200 rows. Ideal for data engineers validating ETL pipeline outputs without needing live lookups, ML predictions, or external data enrichment — just local analytical computation on the data you supply.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:51.032Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-numeric-row-ordering-11f502e9"}