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Render Jobs String Normalisation and Numeric Row Ordering
x402
Render Jobs String Normalisation and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Normalises string fields and orders rows numerically for up to 200 render job records across two analytical reports covering render_seconds and sample_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied render jobs records (render_seconds, sample_count). 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
Two analytical reports: one applying string normalisation to the asset_group and related string fields across the supplied rows, and one ordering all rows numerically by the specified numeric field (render_seconds or sample_count), covering up to 200 input records.
Example use cases
Render farm job duration ranking
“I've got a list of 20 render farm jobs with their render times and sample counts — can you normalize the asset group names and sort all the rows numerically by render_seconds so I can see which jobs took longest?”
Animation pipeline sample count ordering
“Here are 50 render job records across two asset groups from last month — please normalize the string fields and give me a numeric ordering report based on sample_count.”
Weekly render audit report
“I want to audit this week's render jobs: I'll supply 80 rows with row IDs, asset groups, dates, render seconds, and sample counts — can you normalize the strings and produce the numeric row ordering report sorted by render_seconds?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 render job records and need both string normalisation of categorical/string fields and numeric ordering of render_seconds or sample_count in a single paid call. Ideal for offline batch analysis of creative render pipeline data where no live lookup or prediction is required.
Side effects
- More than 200 rows submitted — request exceeds the row limit
- Missing required fields (row_id, date, render_seconds, sample_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch
- Numeric values outside allowed range cause schema rejection
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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