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AI Compute GPU Rental Price History
x402
AI Compute GPU Rental Price History is a paid API for AI agents from ai-compute-production.up.railway.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-17).
Returns historical hourly GPU rental price marks (spot, 1-week, 1-month tenors) in USD per GPU-hour, aggregated from multiple public pricing sources.
Price / call$0.02
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
Returns a time-series of hourly GPU rental price points for the requested GPU type and tenor, each with bid, ask, mid, and mark prices in USD/GPU-hour, plus a confidence object listing the number of public sources, their names, and the age of the newest and oldest observations. Also includes the query window (from/to), the GPU type, and a disclaimer noting these are descriptive marks, not forecasts or traded forwards.
Example use cases
GPU cost benchmarking for AI workloads
“What's the current spot mark for renting an H100-SXM GPU, and what sources is that price pulled from? I want to know what the market rate looks like right now.”
Multi-tenor GPU price trend analysis
“Show me the 1-week mark for A100 GPU rentals from October 1st to October 16th 2026 — I want to see how the price has moved over that window.”
Compute budget forecasting
“Pull the 1-month tenor price history for H100-SXM GPUs so I can understand the longer-term rental cost trend for planning our training budget.”
Technical details
Endpoint
GEThttps://ai-compute-production.up.railway.app/v1/compute/history?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need historical or current descriptive price marks for GPU rental costs aggregated from multiple public sources, particularly when you want bid/ask/mid/mark granularity across different tenors (spot, 1-week, 1-month). Prefer this over general cloud pricing APIs when you specifically need GPU-hour rental market data with source confidence metadata. Not suitable if you need a price forecast, a traded forward curve, or real-time streaming quotes.
Side effects
- Missing required 'gpu' parameter returns a validation error
- Invalid or unrecognized GPU type may return empty results or an error
- Date range with no available data returns an empty points array
- Invalid ISO-8601 date format causes a parsing error
- Requesting a future date range returns no data points
- Service unavailability returns a 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"to": "2026-10-16T13:00:00+00:00",
"asOf": "2026-10-16T13:00:00+00:00",
"from": "2026-10-09T13:00:00+00:00",
"unit": "USD/GPU-hour",
"tenor": "spot",
"points": [
{
"t": "2026-10-16T12:00:00+00:00",
"ask": 4.2,
"bid": 2.05,
"mid": 3.1,
"mark": 3.1
}
],
"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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