{"uid":"cap_t6iVSmu9lZeq05Vj0RwKJ","slug":"transformation-throughput-analytics-numeric-distribution-interval-3ca1e23a","name":"Transformation Throughput Analytics — Numeric Distribution + Interval Filter","description":"Transformation throughput — Numeric distribution + Numeric interval filter: Numeric distribution + 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-13-074?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_EjqL4nuctzjwPw36AeE1G","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 numeric distribution and applies a numeric interval filter on transformation throughput records (processed_rows, duration_seconds) for up to 200 supplied rows.","exampleAgentPrompt":"Can you run a numeric distribution and interval filter on my transformation throughput data? I have 150 records with processed_rows and duration_seconds, and I want to filter processed_rows between 0 and 5000.","exampleUseCases":[{"title":"ETL pipeline row count distribution","prompt":"I have logs from 120 ETL jobs — each has a date, group name, processed_rows, and duration_seconds. Can you compute the numeric distribution of processed_rows and show me which jobs fall between 1000 and 50000 rows?"},{"title":"Duration outlier detection in batch jobs","prompt":"Here are 80 transformation records from last month. Analyze the distribution of duration_seconds and filter to only show records where duration is between 30 and 300 seconds so I can spot slow outliers."},{"title":"Dataset group throughput comparison","prompt":"I've got 200 pipeline run records split between two dataset groups. Run a numeric distribution on duration_seconds with a filter from 0 to 120, so I can see how each group's throughput is spread and which runs fall in that range."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected metric field (processed_rows or duration_seconds) across all supplied rows, and (2) a numeric interval filter report showing which records fall within the specified minimum–maximum range — both computed locally from up to 200 supplied rows with no external data lookup.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds max row limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Field value out of allowed range (±1 trillion) — validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) — schema error","minimum greater than maximum — may return empty interval filter result"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records and need both a numeric distribution and an interval filter on either processed_rows or duration_seconds in a single low-cost call. Ideal for data engineers auditing ETL performance, pipeline monitoring, or batch job analytics where no external data, prediction, or real-time lookup is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:08.264Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-distribution-interval-3ca1e23a"}