{"uid":"cap_KVYH1hAdqJQgPsJEvJPMa","slug":"transformation-throughput-analytics-numeric-row-ordering-explicit-bd2cda01","name":"Transformation Throughput Analytics — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Transformation throughput — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-13-124?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_zyqYBgL81QOLkOXPP8ZYJ","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":"Sorts transformation throughput records by a numeric field and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of ETL transformation records with processed_rows and duration_seconds — can you sort them numerically by processed_rows and fill any missing values using median imputation, then give me two analytical reports on the results?","exampleUseCases":[{"title":"Pipeline throughput ranking by row count","prompt":"Sort these 50 transformation throughput records by processed_rows and fill any nulls with the median — I want to see which pipeline runs processed the most rows, with two summary reports."},{"title":"Missing duration data cleanup","prompt":"I have transformation logs with some missing duration_seconds values — fill them in using mean imputation, order everything by duration_seconds, and give me two analytical reports on the cleaned dataset."},{"title":"Multi-group ETL performance comparison","prompt":"Here are 120 rows of transformation records across group-a and group-b. Sort them by processed_rows, use zero to fill any missing values, and return two analytical reports so I can compare throughput across groups."}],"resultDescription":"Two analytical reports covering the input rows after numeric ordering by the selected field (processed_rows or duration_seconds) and explicit missing-value imputation using the chosen method (zero, mean, or median). Reports summarize the ranked and cleaned dataset using local analytical engines without any external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Invalid field or method enum value — rejected with schema error","Empty rows array — rejected due to minItems constraint","Numeric values outside allowed range — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need to sort ETL or data pipeline records numerically by a throughput metric and simultaneously impute missing values in a single operation, receiving two ready-made analytical reports. It is ideal for lightweight, offline analytics on up to 200 rows without requiring external data access, live predictions, or professional assessment. Prefer this over general-purpose analytics tools when you specifically need combined row ordering and missing-value filling for processed_rows or duration_seconds fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:33:58.865Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-row-ordering-explicit-bd2cda01"}