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Render Jobs String Normalisation + Secondary-Measure Weighted Mean
x402
Render Jobs String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Applies string normalisation and secondary-measure weighted mean analysis to up to 200 render job records containing render_seconds and sample_count fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Returns two independent analytical reports: one covering string normalisation of the supplied render job records and one covering the secondary-measure weighted mean for the selected field (render_seconds or sample_count), computed locally against up to 200 input rows without any external lookups or predictions.
Example use cases
Render farm performance summary
“I have 50 render job records from last week across two asset groups — can you normalise the render_seconds values and give me the weighted mean using sample_count as the secondary measure, with render_seconds as the target field?”
Asset group render time comparison
“Run a string normalisation and sample-count-weighted mean analysis on these render jobs for group-a and group-b from October — I want to see how render_seconds average out when weighted by sample_count.”
Pipeline QA for animation studio
“We're auditing our animation render pipeline and need two independent analytical reports: normalise the job names and compute a secondary-measure weighted mean for render_seconds across 120 render records. Can you do that with our submitted rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have render job tabular data (up to 200 rows) and need both string normalisation and a secondary-measure weighted mean in a single low-cost call. It is ideal for creative/media pipeline analytics where render duration and sample count are the core metrics, and no live data, external lookup, or predictive modelling is required.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, date, asset_group, render_seconds, sample_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Empty rows array not accepted (minItems: 1)
- Invalid field enum value (must be 'render_seconds' or 'sample_count') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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