{"uid":"cap_UDnHo8cqa-A3fZfTdyZ2i","slug":"transformation-throughput-weighted-mean-missing-value-fill-a1f48731","name":"Transformation Throughput — Weighted Mean + Missing-Value Fill","description":"Transformation throughput — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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-13-187?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_VsxNZ7TBIj7no89Q2X4O_","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 a secondary-measure weighted mean and fills missing values for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have 4 throughput records for my ETL pipeline — row-1 on 2026-10-01 in group-a processed 10 rows in 1 second, row-2 on 2026-10-02 in group-b processed 20 rows in 2 seconds, row-3 on 2026-10-03 in group-a processed 15 rows in 3 seconds, and row-4 on 2026-10-04 in group-b processed 30 rows in 4 seconds — can you compute the weighted mean of processed_rows using duration_seconds as the weight, filling any missing values using the median?","exampleUseCases":[{"title":"ETL pipeline throughput analysis","prompt":"Here are 50 daily ETL job records with processed_rows and duration_seconds — some rows have null processed_rows values. Can you fill the missing processed_rows using the median, then compute the weighted mean of processed_rows weighted by duration_seconds across all dataset groups?"},{"title":"Batch processing performance summary","prompt":"I have throughput logs from our batch processing system across two dataset groups — can you calculate the weighted mean of duration_seconds, using processed_rows as the secondary-measure weight, and fill any nulls with zero? I have about 120 records to send."},{"title":"Data pipeline QA reporting","prompt":"We're doing a QA review of our data transformation pipeline — I have 80 rows of processed_rows and duration_seconds data with some gaps. Please fill missing duration_seconds using the mean and then give me the weighted mean report for processed_rows weighted by duration_seconds."}],"resultDescription":"Returns 2 analytical reports containing the secondary-measure weighted mean of the selected field (processed_rows or duration_seconds), computed after filling any null values using the specified method (zero, mean, or median), across the supplied transformation throughput records.","failureModes":["More than 200 rows submitted — exceeds the maxItems limit, request rejected","Missing required fields (row_id, date, dataset_group) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field or method enum values outside allowed options — schema rejection","All values for selected field are null and fill method cannot produce a valid mean — undefined result"],"whenToPreferThis":"Choose this endpoint when you need both a secondary-measure weighted mean and explicit missing-value filling for transformation throughput data (processed_rows or duration_seconds) in a single call, with up to 200 rows and 2 bundled reports, at low cost ($0.01 USDC). Prefer this over generic analytics services when your data is ETL/pipeline throughput in nature and you need local offline computation with no external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:47.583Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-weighted-mean-missing-value-fill-a1f48731"}