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Render Jobs Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Render Jobs Numeric Row Ordering + 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 2026-10-22).
Ranks render job rows by a numeric field and computes a secondary-measure weighted mean for up to 200 supplied render job records (render_seconds, sample_count).
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 analytical reports computed locally from the supplied data: (1) the input rows ordered numerically by the specified field (render_seconds or sample_count), and (2) a weighted mean of the secondary measure using the primary measure as weights. No external lookups or predictions are included.
Example use cases
Rank render jobs by render time
“I have 150 render job records with render_seconds and sample_count values. Can you sort them numerically by render_seconds and also give me the sample_count-weighted mean of render_seconds so I know the weighted average render time across the whole batch?”
Identify slow asset groups by weighted render cost
“Here are our render job logs for October — each row has an asset_group, date, render_seconds, and sample_count. Please order the rows by sample_count and compute the render_seconds weighted mean using sample_count as the weight, so I can see which jobs are most expensive on average.”
Audit render pipeline performance across two metrics
“I need two reports on this set of render job records: first, rank all rows numerically by render_seconds, and second, give me the weighted mean of sample_count using render_seconds as the weight. There are about 80 rows covering multiple asset groups and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 render job records and need both a numeric row ordering and a weighted mean computed from the same dataset in a single call. It is ideal for render pipeline analytics where you want to rank jobs by one metric and compute a weighted average of a secondary metric without setting up your own analytics infrastructure. Prefer this over general-purpose data tools when you want a fast, cheap ($0.01 USDC), self-contained computation on supplied data with no external dependencies.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, date, asset_group, render_seconds, or sample_count) on any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in both render_seconds and sample_count may produce undefined weighted mean results
- Invalid field enum value (must be 'render_seconds' or 'sample_count') — rejected request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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