{"uid":"cap_pZPmYb--4du3e_A5w5tQd","slug":"transformation-throughput-record-quality-audit-numeric-interval-filter-59f3a4fb","name":"Transformation Throughput — Record Quality Audit + Numeric Interval Filter","description":"Transformation throughput — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-13-008?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"},"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_PKsz1_SIoD8BsuLc30F9b","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 record quality and applies a numeric interval filter to transformation throughput data (processed_rows, duration_seconds) for up to 200 rows, producing 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric interval filter on my transformation throughput data? I have 50 rows with processed_rows and duration_seconds fields — filter on processed_rows between 100 and 50000 and flag any quality issues across my dataset_group values.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have logs from last week's ETL runs with processed_rows and duration_seconds per job. Can you audit them for quality issues and filter to only show records where processed_rows is between 500 and 100000? There are about 80 rows across two dataset groups."},{"title":"Flagging anomalous processing durations","prompt":"Can you audit these 120 transformation throughput records and filter the duration_seconds field to only the rows between 1 and 3600 seconds? I want to see which records fail the quality check too."},{"title":"Validating batch job output counts","prompt":"We ran 60 nightly batch jobs this month and I need to validate the processed_rows counts — can you run a quality audit and filter to rows where processed_rows is between 10000 and 5000000, flagging anything outside that range?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data quality issues such as nulls, out-of-range values, or malformed entries across the submitted rows, and (2) a numeric interval filter report listing which rows have the specified field (processed_rows or duration_seconds) within the defined minimum–maximum range. No external lookups or predictions are performed; all analysis is done on the supplied data.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error returned","Invalid date format (not YYYY-MM-DD) — schema validation failure","minimum greater than maximum — filter may return empty set or error","All null values for the filtered field — interval filter report may be empty","Payment not processed — endpoint returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric range filter on transformation throughput records (processed_rows and/or duration_seconds) in a single call for up to 200 rows. It is ideal for data engineers validating ETL pipeline outputs, QA workflows checking batch job metrics, or any scenario where you want two complementary analytical views — quality flags plus interval-bounded filtering — on the same dataset without external dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:42.219Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-numeric-interval-filter-59f3a4fb"}