{"uid":"cap_NSUt9jk7QgO6whLUxEjQz","slug":"transformation-throughput-analytics-record-quality-audit-string-3c0de002","name":"Transformation Throughput Analytics — Record Quality Audit, String Normalisation & Missing-Value Fill","description":"Transformation throughput — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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-13-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_8y7JdKxgGiHU0GHt3s6_F","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":"Audits data quality, normalises strings, and fills missing values for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you audit the data quality, normalise the strings, and fill in any missing processed_rows values using median imputation for these transformation throughput records — I have 4 rows covering group-a and group-b from October 2026?","exampleUseCases":[{"title":"Pipeline run quality check","prompt":"I've got a batch of 50 transformation throughput records from last week — can you run a quality audit on them, normalise the dataset_group strings, and fill any null processed_rows values using median? Here are the rows with row_id, date, dataset_group, processed_rows, and duration_seconds."},{"title":"Missing duration imputation for ETL logs","prompt":"Some of my ETL job logs are missing duration_seconds — can you fill those gaps using mean imputation and also give me a quality audit and string normalisation report on the 120 records I'm passing in?"},{"title":"Data cleaning before analytics pipeline","prompt":"Before I load these transformation throughput records into my dashboard, I want to clean them up — please audit quality, normalise the string fields, and zero-fill any missing processed_rows across these 80 rows."}],"resultDescription":"Returns 3 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report showing standardised versions of string fields like dataset_group; and (3) a missing-value fill report showing imputed values for the selected numeric field (processed_rows or duration_seconds) using the chosen method (zero, mean, or median). All processing is local with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid enum value for field or method parameter — request rejected","All values already present — missing-value fill report returns no imputations","Payment not included or insufficient USDC — 402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a combined, low-cost ($0.01 USDC) pass of quality auditing, string normalisation, and missing-value imputation specifically on transformation throughput data (processed_rows, duration_seconds) for up to 200 rows. It is ideal for pre-processing ETL logs or pipeline run records before downstream analytics, when no external data lookup or prediction is needed and all analysis can be done locally against the supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:59.968Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-3c0de002"}