{"uid":"cap_n9r360VZq4bl0wStJ1Ngf","slug":"transformation-throughput-analytics-numeric-distribution-missing-d57c2722","name":"Transformation Throughput Analytics — Numeric Distribution + Missing-Value Fill","description":"Transformation throughput — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-085?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_u28NAYXQwTnbHaO3gdzYQ","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":"Computes numeric distribution statistics and fills missing values (zero/mean/median) for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution analysis and fill in any missing processed_rows values using median imputation on these ETL records — I have about 50 rows with date, dataset_group, processed_rows, and duration_seconds fields?","exampleUseCases":[{"title":"ETL pipeline throughput audit","prompt":"I have 120 rows of daily ETL run logs with processed_rows and duration_seconds — some values are null. Can you compute the numeric distribution of processed_rows and fill in the missing ones using the mean?"},{"title":"Pipeline duration gap analysis","prompt":"Run a distribution report on duration_seconds for my transformation records and use zero-fill to handle any missing duration values — here are 80 rows grouped by dataset_group."},{"title":"Data quality check before reporting","prompt":"Before I hand off these 200 transformation throughput records to the reporting team, can you get me a numeric distribution of processed_rows and median-fill any gaps so the dataset is complete?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the specified field, and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median) — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected at maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation error","Unknown fill method or field enum value causes rejection","All values missing for chosen field — mean/median imputation may be undefined","Numeric values outside allowed range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records (ETL/pipeline data) and need both a numeric distribution summary and missing-value imputation in a single low-cost ($0.01 USDC) call. Ideal for lightweight, local analytical tasks on processed_rows or duration_seconds without needing a full analytics platform or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:46.748Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-distribution-missing-d57c2722"}