{"uid":"cap_FabUn5FC_5ZWH97j8xd_L","slug":"transformation-throughput-analytics-category-frequencies-keyed-a3839572","name":"Transformation Throughput Analytics — Category Frequencies + Keyed Dataset Comparison","description":"Transformation throughput — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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-13-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":17,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":33,"duration_seconds":4}],"maxItems":200,"minItems":0}}},"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__sEYMpYDbTi3Q-Fx0H4sl","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 (processed_rows, duration_seconds) to produce category frequency distributions and a keyed comparison between two supplied datasets, using local analytical engines with no external lookups.","exampleAgentPrompt":"I have two sets of transformation job records — each with row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a category frequency breakdown on the first set and a keyed comparison between the two sets to see how throughput differs by group? Here's the primary batch: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2024-01-01\",\"processed_rows\":500,\"duration_seconds\":10}] and the comparison batch: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2024-01-01\",\"processed_rows\":450,\"duration_seconds\":12}].","exampleUseCases":[{"title":"ETL pipeline run comparison","prompt":"I ran our nightly ETL pipeline twice this week with slightly different configs — here are the throughput records for both runs with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you give me a category frequency breakdown and a keyed comparison to see where the two runs diverge by group?"},{"title":"Throughput group frequency audit","prompt":"I have 150 transformation job records across dataset groups like 'finance', 'orders', and 'inventory' — each with a date, processed_rows count, and duration_seconds. Can you show me the frequency distribution of jobs per group and compare them against last month's baseline records using keyed matching?"},{"title":"Data engineering performance review","prompt":"We're reviewing pipeline performance across two environments — staging and production. I have up to 200 rows per environment with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you compute category frequencies for staging and run a keyed dataset comparison against production so I can spot throughput discrepancies?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency report showing how often each dataset_group appears and aggregated throughput metrics (processed_rows, duration_seconds) per category, and (2) a keyed dataset comparison that aligns rows from the two supplied datasets by row_id/dataset_group and highlights differences in processed_rows and duration_seconds between them. All computation is local with no external data access.","failureModes":["Input array exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — row-level validation failure","Invalid date format (not YYYY-MM-DD) — schema validation error","Numeric values outside allowed range (±1,000,000,000,000) — validation rejection","Empty rows array — minimum item constraint violated","Mismatched row_ids between primary and secondary datasets — keyed comparison may return unmatched rows"],"whenToPreferThis":"Choose this endpoint when you have transformation/ETL throughput data (processed_rows, duration_seconds) organized by dataset_group and date, and you need both a categorical frequency breakdown AND a side-by-side keyed comparison of two dataset versions in a single $0.01 call. Prefer this over single-report endpoints when you need both analyses simultaneously on the same data. Not suitable for live data fetching, real-time monitoring, prediction, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:07.255Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-keyed-a3839572"}