{"uid":"cap_sVTxP2-3DcnU0PvJROtyG","slug":"transformation-throughput-analytics-two-measure-correlation-missing-79df4e4b","name":"Transformation Throughput Analytics — Two-Measure Correlation + Missing-Value Fill","description":"Transformation throughput — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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-13-184?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_91IwCplSt8tWuDBagd_jt","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 Pearson correlation between processed_rows and duration_seconds, and fills missing values in a chosen field using zero, mean, or median imputation, for up to 200 transformation throughput records.","exampleAgentPrompt":"I have up to 200 rows of ETL throughput records with processed_rows and duration_seconds — can you compute the correlation between those two measures and fill any missing processed_rows values using the median?","exampleUseCases":[{"title":"ETL pipeline speed vs volume check","prompt":"Here are 150 rows of our nightly ETL job logs with processed_rows and duration_seconds — compute the correlation between them and fill any missing duration_seconds using the mean so I can see how throughput scales with time."},{"title":"Data quality fix before reporting","prompt":"I have transformation throughput records for several dataset groups and some processed_rows values are null — fill them with zeros and also give me the correlation between processed_rows and duration_seconds across all 80 rows."},{"title":"Batch job performance analysis","prompt":"Can you analyze these 60 pipeline run records across group-a and group-b, correlate processed_rows against duration_seconds, and impute any missing duration_seconds with the median? I want to understand if longer jobs process more rows."}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation value between processed_rows and duration_seconds across all supplied rows, and (2) the dataset with missing values in the specified field filled using the chosen imputation method (zero, mean, or median). Results are computed locally with no external calls.","failureModes":["Input array is empty or exceeds 200 rows — validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — schema rejection","Date field does not match YYYY-MM-DD pattern — validation error","All values in target field are null — imputation may return default or error","Invalid method enum value other than zero/mean/median — schema rejection","Insufficient non-null pairs to compute meaningful correlation — may return NaN or null correlation"],"whenToPreferThis":"Choose this endpoint when you need both a missing-value imputation pass and a correlation measurement between processed_rows and duration_seconds in a single paid call on up to 200 transformation throughput records. Ideal for lightweight, offline ETL diagnostics where no external data, predictions, or live lookups are needed and cost must be kept to $0.01 USDC for two bundled reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:09.576Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-two-measure-correlation-missing-79df4e4b"}