{"uid":"cap_cDAT3C2Wjs_M6nxVU3Pi-","slug":"transformation-throughput-analytics-category-frequencies-numeric-6154aca6","name":"Transformation Throughput Analytics — Category Frequencies + Numeric Interval Filter","description":"Transformation throughput — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-13-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_bbQv0rEVOJmYaD5ot0-d1","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 by computing category frequency distributions and filtering numeric fields (processed_rows or duration_seconds) within a specified interval range, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze my transformation throughput records — I have about 50 rows with dataset_group categories and I want to see the frequency of each group, plus filter on processed_rows between 100 and 5000. Here are my records: [row-1, group-a, 2026-10-01, 500, 12], [row-2, group-b, 2026-10-02, 8000, 5], etc.","exampleUseCases":[{"title":"ETL job group distribution audit","prompt":"I have 80 transformation throughput records from my ETL pipeline with dataset_group labels like 'bronze', 'silver', and 'gold'. Can you give me the frequency counts for each group and also filter the processed_rows field to only show records between 1000 and 50000?"},{"title":"Pipeline duration range analysis","prompt":"Here are 120 rows from my data pipeline runs — each has a dataset_group, date, processed_rows, and duration_seconds. I want to see how often each dataset_group appears, and filter duration_seconds to records between 5 and 120 seconds only."},{"title":"Throughput outlier scoping by category","prompt":"Can you analyze these 45 transformation job records? I need category frequencies for the dataset_group field and a numeric filter on processed_rows where minimum is 0 and maximum is 10000, so I can scope out the normal-volume jobs from the outliers."}],"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 filtered subset of records where the selected numeric field (processed_rows or duration_seconds) falls within the specified minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncates input","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes validation failure","Minimum value greater than maximum value may return empty interval filter results","Null numeric values in the selected field are excluded or cause partial results","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected by schema constraints"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical views on transformation throughput data: a categorical breakdown of dataset groups and a numeric range filter on processed_rows or duration_seconds. It is ideal for small-to-medium batch analytics (up to 200 rows) where no live data lookup or external enrichment is needed — just fast, cheap ($0.01 USDC) local computation on data you supply directly. Prefer alternatives if you need more than 200 rows, time-series trending, outlier detection, or reports beyond frequency counts and interval filtering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:09.384Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-numeric-6154aca6"}