{"uid":"cap_UIGpO_QACDQ5q-dHOUeDt","slug":"transformation-throughput-analytics-record-quality-audit-string-68e8b55b","name":"Transformation Throughput Analytics: Record Quality Audit + String Normalisation + Category Frequencies","description":"Transformation throughput — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-195?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_XL1MH_RZGaMUuWalVRpRV","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 (processed_rows, duration_seconds) and returns three reports: a record quality audit, string normalization, and category frequency counts.","exampleAgentPrompt":"Can you run a full quality audit, string normalization, and category frequency breakdown on these transformation throughput records — I have about 50 rows with fields like row_id, dataset_group, date, processed_rows, and duration_seconds?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have 120 rows of ETL job logs with columns for row_id, dataset_group, date, processed_rows, and duration_seconds — can you audit them for quality issues, normalize any inconsistent group name strings, and show me how often each dataset_group appears?"},{"title":"Daily transformation batch audit","prompt":"Every morning I get a batch of transformation throughput records. Can you run all three reports — quality audit, string normalization, and category frequencies — on today's 80 rows so I can spot anomalies before the dashboard refreshes?"},{"title":"Pipeline performance dataset cleanup","prompt":"I'm cleaning up a dataset of 200 transformation run records before loading them into our data warehouse. Can you check record quality, normalize the dataset_group strings, and tell me the frequency breakdown by category?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging nulls, invalid values, and completeness issues across all supplied rows; (2) string normalization results for text fields like dataset_group; (3) category frequency counts showing how often each distinct dataset_group value appears. All computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds the row limit and will be rejected","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) in any row causes validation errors","Malformed date strings not matching YYYY-MM-DD pattern trigger schema validation failure","Empty rows array (minItems: 1 not met) returns an error","Non-numeric values in processed_rows or duration_seconds outside allowed range cause rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalization, and category frequencies — on transformation throughput records in a single $0.01 call. Ideal when you have up to 200 rows of pipeline/ETL batch data and want offline, locally-computed analytics without any external API lookups or predictions. Prefer this over single-report endpoints when you need all three report types simultaneously for cost efficiency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:50.617Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-68e8b55b"}