{"uid":"cap_SkdTUrNxjiG8od7p3Tx_M","slug":"transformation-throughput-string-normalisation-numeric-interval-filter-d0f87bf5","name":"Transformation Throughput — String Normalisation + Numeric Interval Filter","description":"Transformation throughput — String normalisation + Numeric interval filter: String normalisation + 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-13-026?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_sE7bnhOZkATOviNjdOW7m","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":"Normalises string fields and filters rows by a numeric interval (min/max range) on processed_rows or duration_seconds for transformation throughput datasets, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 80 rows of ETL throughput logs with dataset_group names that need normalising — can you also filter them to only keep rows where processed_rows is between 100 and 5000? Here's the data with row_id, date, dataset_group, processed_rows, and duration_seconds fields.","exampleUseCases":[{"title":"ETL pipeline row count range filter","prompt":"I've got transformation throughput records for last month and I need to filter out any rows where processed_rows falls outside 500 to 50000 — also clean up the dataset_group strings while you're at it. Data has row_id, date, dataset_group, processed_rows, and duration_seconds."},{"title":"Duration-based interval cleanup for batch jobs","prompt":"Can you take my 150 batch processing records and return only the ones where duration_seconds is between 10 and 3600, and normalise the dataset_group labels too? Each row has row_id, date, dataset_group, processed_rows, and duration_seconds."},{"title":"Data quality check on throughput group labels","prompt":"My pipeline throughput dataset has messy group name strings — can you normalise them and also filter to rows where processed_rows is at least 0 and no more than 200000? I'll send up to 120 rows with the standard fields."}],"resultDescription":"Returns 2 analytical reports: one covering string normalisation of dataset_group and related string fields, and one covering numeric interval filtering of the chosen field (processed_rows or duration_seconds) based on the supplied minimum and maximum bounds. Reports are computed locally against the supplied rows (up to 200) with no external data lookup.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","processed_rows or duration_seconds values outside ±1,000,000,000,000 — schema rejection","minimum greater than maximum — may produce empty filter result set","Missing required row fields (row_id, dataset_group, date) — schema error","Payment of 0.01 USDC not attached — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need a combined string normalisation pass and numeric range filter on transformation throughput records (processed_rows and duration_seconds) in a single paid call, and your dataset fits within 200 rows. It is a local analytical computation with no external lookups, making it deterministic and fast. Prefer it over general-purpose data tools when you specifically want packaged dual-report output (normalisation + interval filter) for ETL/pipeline monitoring data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:36.577Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-string-normalisation-numeric-interval-filter-d0f87bf5"}