{"uid":"cap_GN3wWmGF08YHE6z3psXXM","slug":"transformation-throughput-record-quality-audit-numeric-distribution-370a0e6c","name":"Transformation Throughput — Record Quality Audit + Numeric Distribution","description":"Transformation throughput — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-13-004?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_jdBbKR1m7DoOqROQPS9_5","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 computes numeric distribution statistics for transformation throughput data (processed_rows, duration_seconds) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution analysis on my transformation throughput data — I have about 50 rows with processed_rows and duration_seconds fields across two dataset groups — and focus the numeric analysis on processed_rows?","exampleUseCases":[{"title":"ETL pipeline throughput quality check","prompt":"I have 120 rows of transformation logs with row IDs, dates, dataset groups, processed_rows counts, and duration_seconds — can you audit their record quality and show me the numeric distribution for processed_rows so I can spot any anomalies?"},{"title":"Duration distribution analysis for batch jobs","prompt":"Run a record quality audit plus numeric distribution on my 80 batch job records — each has a date, dataset_group, processed_rows, and duration_seconds — and focus the distribution report on duration_seconds."},{"title":"Data quality review before pipeline reporting","prompt":"Before I send our weekly pipeline report, can you check data quality and compute the numeric distribution for these 40 transformation throughput records grouped by dataset group? I want to flag any bad records and understand the spread of processed_rows."}],"resultDescription":"Returns two independent reports: (1) a record quality audit covering completeness, nulls, anomalies, and validity issues across the supplied rows; and (2) a numeric distribution report summarizing statistical properties (e.g. min, max, mean, percentiles, spread) for the selected numeric field (processed_rows or duration_seconds). No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum, request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error","Invalid date format (non-YYYY-MM-DD) — schema validation failure","Numeric fields out of allowed range — rejection","Invalid field enum value (must be processed_rows or duration_seconds) — error"],"whenToPreferThis":"Choose this endpoint when you have transformation throughput records with processed_rows and duration_seconds fields and need both a data quality audit and numeric distribution analysis in a single cost-effective call (0.01 USDC for two reports, up to 200 rows). Prefer it over generic analytics tools when you want offline, deterministic statistical analysis without external API calls or ML-based predictions. Ideal for data engineers validating ETL pipeline logs before reporting or escalation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:29.353Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-numeric-distribution-370a0e6c"}