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corpusAI GPU Capacity Stress Score
x402
corpusAI GPU Capacity Stress Score is a paid API for AI agents from cloud.trycorpus.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Returns a composite GPU supply-tightness (stress) score for a given GPU model and date, indicating how constrained availability is across neo-cloud and marketplace providers.
Price / call$0.01
Success—
StatusUnknown
How this service works
corpusAI Cloud Pricing: Capacity stress score, 0 (slack) to 100 (tight), for one GPU model on one day, with every component.
Output
A JSON object containing the GPU model name, date, a composite stress score from 0 (slack/abundant supply) to 100 (tight/scarce), a breakdown of individual stress components with sub-scores and notes, a methodology description, and the number of components used in the calculation.
Example use cases
GPU procurement timing decision
“Is now a good time to lock in H100 SXM rentals, or is the market too stressed? Give me today's capacity stress score so I can decide whether to commit.”
Historical GPU scarcity analysis
“What was the GPU stress score for H100 SXM on 2025-06-01? I want to understand how tight supply was that day and what components drove the score.”
Automated GPU market monitoring
“Check the H100 SXM stress score daily and alert me whenever it goes above 80 — I need to know when the GPU rental market is getting critically constrained.”
Technical details
Endpoint
GEThttps://cloud.trycorpus.ai/v1/capacity/stress?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quantified, composite signal of GPU supply tightness for a specific model on a specific date — particularly useful for procurement timing, market monitoring, or infrastructure cost forecasting. Unlike raw price endpoints, this provides an aggregated stress index rather than spot prices, making it better for trend detection and alerting workflows.
Side effects
- Missing or unrecognized GPU model name returns an error or empty result
- Future dates may return no data if not yet computed
- Malformed date format (not YYYY-MM-DD) causes a validation error
- Obscure or non-normalized GPU name strings may not match known models
- Payment failure (insufficient USDC) blocks request with 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"day": "2026-01-01",
"gpu": "string",
"score": 0,
"components": {}
}
}Tags
x402
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