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AI Compute GPU Rental Term Structure
x402
AI Compute GPU Rental Term Structure is a paid API for AI agents from ai-compute-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Returns smoothed spot, 1-week, and 1-month GPU rental price marks in USD per GPU-hour, aggregated from public pricing sources.
Price / call$0.01
Success—
StatusUnknown
How this service works
Hourly GPU rental term structure: smoothed spot, 1w, and 1m marks in USD per GPU-hour, collected from public pricing sources. Not a forecast, a traded forward curve, or a recommendation. Trailing tenors are labeled trailing_median. Descriptive GPU rental marks aggregated from public sources. Not a forecast, a traded forward, or a recommendation.
Output
A JSON object containing a timestamp, unit (USD/GPU-hour), and an array of term curves per GPU type. Each curve includes spot, 1w, and 1m tenor entries with bid, ask, mid, and mark prices. Spot prices are observed; trailing tenors are labeled trailing_median. Also includes a confidence object with source names, source count, and observation age metadata, plus a disclaimer.
Example use cases
Budget GPU cluster for ML training
“I'm planning an ML training job and need to know the current spot and 1-month GPU rental marks for H100 SXM GPUs — can you pull the latest term structure so I can estimate my compute budget?”
Monitor GPU price drift over time
“Pull the spot, 1-week, and 1-month GPU rental marks for H100s and A100s right now so I can compare them against what I recorded last week and see how prices are shifting.”
Compare GPU types for cost optimization
“Get me the current rental price marks for all tracked GPU types across spot, 1-week, and 1-month tenors — I want to figure out which GPU gives me the best price per hour for inference workloads.”
Technical details
Endpoint
GEThttps://ai-compute-production.up.railway.app/v1/compute/term?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need aggregated, multi-source GPU rental price marks across multiple time horizons (spot, 1w, 1m) without building your own scraper. Prefer it over manual lookups when you need smoothed marks from multiple public sources with confidence metadata. Not suitable if you need a price forecast, a binding trade quote, or real-time order book data.
Side effects
- Unknown GPU type returns empty curves array
- Invalid tenor string results in default tenors being applied or error
- Service unavailable if upstream pricing sources are unreachable
- Stale data if public pricing sources have not updated recently (indicated by ageSecondsOldest)
- Payment failure (HTTP 402) if USDC payment is not provided correctly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"asOf": "2026-10-16T13:00:00+00:00",
"unit": "USD/GPU-hour",
"curves": [
{
"tenors": [
{
"ask": 4.29,
"bid": 2.1,
"mid": 3.14,
"mark": 3.14,
"basis": "observed",
"tenor": "spot"
},
{
"ask": null,
"bid": null,
"mid": 3.05,
"mark": 3.05,
"basis": "trailing_median",
"tenor": "1w"
},
{
"ask": null,
"bid": null,
"mid": 2.98,
"mark": 2.98,
"basis": "trailing_median",
"tenor": "1m"
}
],
"gpuType": "H100-SXM"
}
],
"confidence": {
"sources": [
"gpurentalprices",
"gputable",
"priceofcompute"
],
"nSources": 3,
"ageSecondsNewest": 120,
"ageSecondsOldest": 3600,
"newestObservationAt": "2026-10-16T13:00:00+00:00",
"oldestObservationAt": "2026-10-16T12:00:00+00:00"
},
"disclaimer": "Descriptive GPU rental marks aggregated from public sources. Not a forecast, a traded forward, or a recommendation."
}
}Tags
x402
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