{"uid":"cap_X9FKNl_mzzWn9FiQxYgyT","slug":"transformation-throughput-analytics-record-quality-audit-string-8f54837c","name":"Transformation Throughput Analytics: Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Transformation throughput — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-13-203?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_wFnsTDAyWMHUhAzCyB4k7","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":"Runs three analytical reports on transformation throughput records — record quality audit, string normalisation, and IQR-based outlier detection — for up to 200 rows of processed_rows and duration_seconds data.","exampleAgentPrompt":"Can you audit the quality, normalise the strings, and flag IQR outliers in my transformation throughput records? I have 50 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — I want the analysis focused on the processed_rows field.","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have 120 rows of ETL job logs with row_id, dataset_group, date, processed_rows and duration_seconds — can you run a full record quality audit, string normalisation, and IQR outlier flagging on the processed_rows field so I can spot bad records before loading to the warehouse?"},{"title":"Outlier detection in job durations","prompt":"My transformation pipeline has been running slow lately — can you take these 80 throughput records and flag any IQR outliers in the duration_seconds field, plus audit overall record quality and normalise the dataset_group strings?"},{"title":"Pre-reporting data validation","prompt":"Before I generate my monthly pipeline report, I need to validate 150 transformation throughput records — please run a quality audit, normalise any inconsistent string fields, and flag outliers in processed_rows using IQR so I know which rows to investigate."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit detailing completeness, consistency, and issues per row; (2) a string normalisation report showing standardised dataset_group and other string fields; (3) an IQR outlier flag report identifying which rows have anomalous values in the selected numeric field (processed_rows or duration_seconds). All computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Numeric fields outside allowed range (-1e12 to 1e12)","Invalid field selector (must be 'processed_rows' or 'duration_seconds')","Payment not fulfilled — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, IQR outlier detection) on transformation throughput data (processed_rows and duration_seconds) in a single low-cost call. Ideal for data engineering pipelines that need pre-load validation or anomaly detection without external API calls or live data lookups. Best suited for batches up to 200 rows where a flat $0.01 USDC fee is acceptable for three reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:13.206Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-8f54837c"}