{"uid":"cap_PsTFYhQoLR4JUdMxP5d-C","slug":"transformation-throughput-record-quality-audit-string-normalisation-785cc928","name":"Transformation Throughput — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Transformation throughput — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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-13-198?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_SjUIB8zWcwF2OIsa-oprR","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 local analytical reports (record quality audit, string normalisation, and daily sum series) on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and daily sum series on my transformation throughput data? Here are up to 200 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — I want the analysis on the processed_rows field.","exampleUseCases":[{"title":"ETL pipeline quality health check","prompt":"I have a batch of 150 transformation job records with dates, dataset group names, processed row counts, and duration in seconds — can you audit them for quality issues, normalise the string fields, and give me a daily sum series for processed_rows?"},{"title":"Daily throughput aggregation for reporting","prompt":"Run a daily sum series on these transformation throughput records so I can see how many rows were processed each day — also flag any quality problems in the data while you're at it."},{"title":"String normalisation for dataset group labels","prompt":"My transformation log has messy dataset_group strings and I want them normalised, plus a full record quality audit and daily sum rollup on duration_seconds across all 200 rows."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report cleaning text fields like dataset_group; and (3) a daily sum series aggregating the selected numeric field (processed_rows or duration_seconds) by date — all computed locally from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, processed_rows, duration_seconds) causing validation failure","Malformed date strings not matching YYYY-MM-DD pattern","Numeric values outside the allowed range (±1,000,000,000,000) causing schema rejection","Empty rows array submitted"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, and daily aggregation) on transformation throughput records in a single low-cost call. It is best for offline, batch-style analysis of up to 200 ETL pipeline records where no live data lookup, prediction, or external action is needed. It is not appropriate for real-time monitoring, large datasets over 200 rows in a single call, or use cases requiring external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:42.031Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-string-normalisation-785cc928"}