{"uid":"cap_ve49Qd8k2j_Q7Osji0Trq","slug":"transformation-throughput-analytics-category-frequencies-missing-8ce7a2e1","name":"Transformation Throughput Analytics: Category Frequencies + Missing-Value Fill","description":"Transformation throughput — Category frequencies + Explicit missing-value fill: Category frequencies + 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-13-112?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_PBvf2wcNV6nJ9l4HAdZiD","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":"Analyzes transformation throughput records to compute category frequencies for dataset_group and explicitly fills missing values in processed_rows or duration_seconds using zero, mean, or median strategies.","exampleAgentPrompt":"Can you analyze my transformation throughput records — here are 4 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and give me both the category frequency breakdown by dataset_group and fill any missing processed_rows values using median imputation?","exampleUseCases":[{"title":"ETL pipeline group distribution audit","prompt":"I have 150 transformation throughput records from last month's pipeline runs with row_id, dataset_group, date, processed_rows, and duration_seconds — can you compute how frequently each dataset_group appears across those records so I can see which groups dominate my workload?"},{"title":"Missing duration imputation before reporting","prompt":"Some of my pipeline records have null duration_seconds values — can you fill those missing values using mean imputation across my 80 transformation throughput rows so I can use the cleaned data in my downstream report?"},{"title":"Combined throughput quality and distribution check","prompt":"I've got 200 rows of transformation throughput data with processed_rows and duration_seconds fields, and I need two things: a frequency count by dataset_group and any missing processed_rows filled with zero — can you run both reports in one go?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a missing-value fill result for the specified numeric field (processed_rows or duration_seconds) using the chosen strategy (zero, mean, or median), with filled values substituted for any nulls in the dataset.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid enum value for 'field' or 'method' parameters","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minimum 1 row required)"],"whenToPreferThis":"Choose this endpoint when you need offline statistical analysis of transformation throughput records — specifically when you want category frequency distributions for dataset groups AND missing-value imputation for numeric throughput fields in a single $0.01 call covering up to 200 rows. Prefer this over general analytics platforms when you need a lightweight, self-contained, no-external-lookup computation on pipeline or ETL job data without the overhead of setting up a full analytics stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:00.250Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-missing-8ce7a2e1"}