{"uid":"cap_X8clWoWY_zSL4iKPvo_Ke","slug":"transformation-throughput-analytics-numeric-interval-filter-adjacent-da440617","name":"Transformation Throughput Analytics — Numeric Interval Filter + Adjacent Row Changes","description":"Transformation throughput — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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-13-127?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_oC9gVsdvIm0o74G8L5qgG","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":"Filters transformation throughput records by a numeric interval and detects adjacent row changes in processed_rows or duration_seconds, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric interval filter and adjacent row change report on my transformation throughput data? I have records with processed_rows and duration_seconds — filter for processed_rows between 10 and 500, and flag wherever the value changes between consecutive rows.","exampleUseCases":[{"title":"ETL pipeline throughput audit","prompt":"I have 150 daily ETL run records with processed_rows and duration_seconds. Can you filter to rows where processed_rows is between 100 and 50000, and also tell me wherever the processed_rows count changed from one row to the next?"},{"title":"Slow transformation run detection","prompt":"Here are my transformation job logs — I want to see which runs had a duration_seconds between 30 and 300, and also flag every time the duration changed compared to the adjacent row. Use duration_seconds as the field."},{"title":"Dataset group change monitoring","prompt":"I've got records from two dataset groups across the last month. Can you filter for processed_rows in the range 0 to 1000 and show me a report of where consecutive rows differ in processed_rows value?"}],"resultDescription":"Two analytical reports: (1) rows from the input dataset where the specified field (processed_rows or duration_seconds) falls within the given numeric interval [minimum, maximum]; (2) a row-by-row comparison highlighting where the value of the specified field changed between adjacent records. Up to 200 input rows supported per call.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Missing required fields (row_id, processed_rows, duration_seconds) cause schema rejection","minimum greater than maximum results in an empty interval filter report","Null values in the numeric field may be excluded from interval filtering or change detection","Invalid field enum value (not processed_rows or duration_seconds) causes a schema error"],"whenToPreferThis":"Choose this endpoint when you need two specific local analytical reports — numeric interval filtering and adjacent row change detection — on transformation throughput records (processed_rows, duration_seconds) without any external data lookup, prediction, or side effects. It is ideal for lightweight, low-cost ($0.01 USDC) batch analysis of up to 200 ETL or pipeline run records in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:41.398Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-interval-filter-adjacent-da440617"}