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Render Farm Usage — String Normalisation + Two-Measure Correlation
x402
Render Farm Usage — String Normalisation + 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 2026-10-24).
Normalises strings and computes two-measure correlation analysis for render farm usage records (node_hours, job_count) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render farm usage — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied render farm usage records (node_hours, job_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: (1) a string normalisation report for asset_group and other string fields, and (2) a two-measure correlation analysis showing the statistical relationship between node_hours and job_count across the supplied rows. No external lookups or predictions — results are computed entirely from the submitted data.
Example use cases
Render farm efficiency correlation
“I have a month of render farm logs — can you normalize the asset group names and tell me how strongly correlated node_hours and job_count are across those rows? I'll paste the data: row-1, group-a, 2026-10-01, 10 node hours, 1 job; row-2, group-b, 2026-10-02, 40 node hours, 5 jobs; row-3, group-c, 2026-10-03, 25 node hours, 3 jobs.”
VFX studio workload analysis
“Our VFX pipeline team needs to understand if job count and node hours move together across different asset groups. Can you run string normalization and a two-measure correlation on this render farm data? Here are 5 rows with row_id, asset_group, date, node_hours, and job_count.”
Render billing data cleanup and stats
“We track render jobs by group and date but the asset group names are inconsistently formatted. Can you normalize those strings and also compute the correlation between node_hours and job_count so we understand the relationship? I have about 50 rows of data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-24-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a two-measure correlation report on render farm usage data (node_hours vs job_count) in a single call for up to 200 rows, with no need for live lookups, predictions, or external integrations. It is cost-effective at $0.01 USDC for two bundled reports and is ideal for offline/batch analytical workflows on already-collected render job logs.
Side effects
- Rows array empty or missing: validation error
- More than 200 rows submitted: request rejected
- Invalid date format (not YYYY-MM-DD): validation error
- node_hours or job_count outside allowed numeric range: validation error
- row_id missing or empty: validation error
- All node_hours or job_count values null: correlation report may be undefined or return NaN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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