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Transformation Throughput — String Normalisation + Numeric Interval Filter
x402
Transformation Throughput — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
ETL pipeline row count range filter
“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.”
Duration-based interval cleanup for batch jobs
“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.”
Data quality check on throughput group labels
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-026?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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