{"uid":"cap_cew8-tjBiVGzbbWs-ajTV","slug":"transformation-throughput-analytics-record-quality-audit-string-875fdbba","name":"Transformation Throughput Analytics — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Transformation throughput — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-13-205?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_pEWDE1MhewU6vegHsb8pP","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 secondary-measure weighted mean) on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.","exampleAgentPrompt":"Can you audit and normalise my transformation throughput data and compute a weighted mean for processed_rows? I have 4 records: row-1 on 2026-10-01 for group-a with 10 processed rows and 1 second, row-2 on 2026-10-02 for group-b with 20 rows and 2 seconds, row-3 on 2026-10-03 for group-a with 15 rows and 3 seconds, and row-4 on 2026-10-04 for group-b with 30 rows and 4 seconds.","exampleUseCases":[{"title":"ETL pipeline quality audit","prompt":"Run a quality audit, string normalisation, and weighted mean on my ETL pipeline throughput logs — I have 10 records with row IDs, dataset groups, dates, processed row counts, and durations in seconds, and I want to analyse processed_rows."},{"title":"Data engineering batch report","prompt":"I have 50 transformation throughput records from last month across several dataset groups. Can you check their data quality, normalise the string fields, and give me a duration-weighted mean for processed_rows?"},{"title":"Pipeline performance summary","prompt":"Analyse these 200 transformation throughput rows for me — I need a record quality audit, string normalisation of the group labels, and a secondary-measure weighted mean on duration_seconds."}],"resultDescription":"Three analytical reports covering: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) a string normalisation report cleaning dataset_group and other string fields; and (3) a secondary-measure weighted mean of the selected field (processed_rows or duration_seconds) weighted by the other numeric measure. All computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — minItems validation failure","More than 200 rows supplied — maxItems validation failure","Missing required fields (row_id, date, processed_rows, duration_seconds) — schema validation error","Invalid date format not matching YYYY-MM-DD pattern — pattern validation failure","All numeric values null — weighted mean cannot be computed","Invalid field enum value — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need three specific local analytical operations — record quality audit, string normalisation, and secondary-measure weighted mean — applied together in a single call to transformation throughput data (processed_rows and duration_seconds). It is ideal for data engineers who want a bundled quality-check-plus-normalisation-plus-weighted-average report on up to 200 pipeline records without triggering any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.601Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-875fdbba"}