{"uid":"cap_FH7hLTW4vnMps4Jaj9gTf","slug":"transformation-throughput-analytics-record-quality-audit-date-by-d88eef40","name":"Transformation Throughput Analytics — Record Quality Audit & Date-by-Category Pivot","description":"Transformation throughput — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-13-017?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_RNOpbzDeG7_ASh5D_78j4","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":"Analyzes up to 200 transformation throughput records by producing two offline analytical reports: a record quality audit and a date-by-category pivot on processed_rows or duration_seconds.","exampleAgentPrompt":"Can you run a record quality audit and date-by-category pivot on my transformation throughput logs? I've got these rows with row_id, dataset_group, date, processed_rows, and duration_seconds — pivot on processed_rows — and I want both reports in one shot.","exampleUseCases":[{"title":"ETL pipeline quality audit","prompt":"I have 150 rows of ETL job records with row IDs, dataset groups, dates, processed row counts, and duration in seconds. Can you run a record quality audit on them and also pivot processed_rows by date and dataset group so I can see which groups are performing well?"},{"title":"Duration anomaly review by team","prompt":"Here are 80 transformation throughput records from last month, split across three dataset groups. Can you do a quality audit to flag any bad or missing values, and pivot duration_seconds by date and category so I can spot which teams had unusually long runs?"},{"title":"Daily throughput summary for reporting","prompt":"I need to report on our data pipeline performance. I have 200 records with dates, group names, and processed row counts. Please run a quality audit and give me a date-by-category pivot on processed_rows so I can build a summary for the team."}],"resultDescription":"Returns two analytical reports: (1) a record quality audit flagging missing, null, or anomalous values in the supplied rows, and (2) a date-by-category pivot table aggregating the chosen metric (processed_rows or duration_seconds) grouped by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, date, dataset_group) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","No rows provided (empty array) — minimum 1 row required","Null values in processed_rows or duration_seconds — handled in quality audit but may affect pivot aggregations","Invalid field enum value (not processed_rows or duration_seconds) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous offline analytical reports — a quality audit plus a date-by-category pivot — on transformation throughput data (processed_rows, duration_seconds) with up to 200 rows, all for a flat $0.01 USDC. Prefer it over single-report endpoints when you want both data quality diagnostics and grouped time-series aggregation in one API call without any external lookups or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:59.401Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-date-by-d88eef40"}