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Render Jobs String Normalisation and Two-Measure Correlation
x402
Render Jobs String Normalisation and Two-Measure Correlation 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).
Performs string normalisation and two-measure Pearson/rank correlation analysis on supplied render job records (render_seconds, sample_count) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: (1) a string normalisation report cleaning and standardising the text fields (row_id, asset_group, date) across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between render_seconds and sample_count across all submitted render job records (up to 200 rows). No external lookups or predictions are made — analysis is performed entirely on the supplied data.
Example use cases
Render pipeline efficiency correlation
“I've got render job logs for our studio covering Q4 — each row has a job ID, asset group name, date, how many seconds the render took, and sample count. Can you normalize the asset group strings and run a two-measure correlation to see if sample count is actually driving render time?”
Asset group render performance audit
“We have two asset groups, 'group-alpha' and 'group-beta', and I want to know if higher sample counts consistently lead to longer render times. Can you take my 80 render job records with render_seconds and sample_count and run the string normalisation plus two-measure correlation reports?”
Statistical QA on rendering data batch
“Before I hand this render job dataset off to the team, I want to clean up the string fields and get a correlation report between render_seconds and sample_count. There are 150 rows, each tagged by row_id, asset group, and date — can you run both the normalisation and correlation analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have render job tabular data with render_seconds and sample_count fields and need both string normalisation of text fields and a statistical correlation between the two numeric measures in a single call. It is self-contained (no live lookups), cheap at $0.01 USDC for two reports, and handles up to 200 rows. Prefer this over general-purpose statistical tools when your data specifically matches the render jobs schema (row_id, asset_group, date, render_seconds, sample_count).
Side effects
- Fewer than 1 row submitted — rejected by minItems:1 constraint
- More than 200 rows submitted — rejected by maxItems:200 constraint
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch
- Numeric values outside allowed range (±1,000,000,000,000) — schema bounds error
- Payment not attached or insufficient — x402 payment required error
- All render_seconds or sample_count values are null — correlation cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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