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falcon.sol GPU Compute Pricing Comps
x402
falcon.sol GPU Compute Pricing Comps is a paid API for AI agents from falcon-comps.falcon-sol.workers.dev, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-31).
Returns real-time GPU rental pricing comps across cloud providers for specified GPU models and tiers, with optional percentile benchmarking against a quoted price.
Price / call$0.04
Success—
StatusUnknown
How this service works
Standardized financials and trading comps from SEC EDGAR, paid per call with x402.
Output
A JSON object with per-GPU breakdowns including individual offers (SKU, tier, provider, price, fetch timestamp, source URL), summary statistics (min, max, median, offer count, cheapest provider, on-demand median), data freshness info (cache TTL, oldest source age, stale flags), and optionally a percentile rank for a target price. Covers up to 12 GPU models per call with a 60-minute cache TTL.
Example use cases
Negotiate GPU contract with market data
“I'm about to sign a GPU rental contract at $4.50/hr for H100 SXM — can you pull the latest market comps for H100 across all tiers and tell me what percentile that price lands at?”
Find cheapest on-demand GPU for training run
“I need to kick off a training run and want the cheapest on-demand options — pull comps for H100, A100-80GB, and L40S filtered to community_cloud and serverless tiers and show me the cheapest provider for each.”
Monitor B200 pricing across cloud providers
“What are the current rental prices for B200 and H200 GPUs across all available tiers? Show me the min, median, and max, and which providers are offering them.”
Technical details
Endpoint
POSThttps://falcon-comps.falcon-sol.workers.dev/v1/gpu-comps?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need real-time, aggregated GPU rental pricing from multiple cloud providers in a single call, especially when you want to benchmark a quoted price against market comps or filter by specific GPU models and tiers. Prefer this over scraping individual provider pages manually or using static pricing tables, as it provides normalized, structured data with freshness metadata and supports percentile benchmarking.
Side effects
- Invalid GPU model enum value returns validation error
- Requesting more than 12 GPU models exceeds maxItems limit
- Stale data if upstream provider pages are unavailable (flagged in freshness.any_stale)
- Payment failure via x402 protocol blocks request
- Empty offers array if no providers currently list the requested GPU/tier combination
- Network timeout reaching upstream provider pricing pages
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| gpus | array | GPU models; default h100,h200,b200,a100-80gb,l40s. h100 matches SXM/PCIe/NVL. |
| tiers | array | Optional filter, e.g. ["community_cloud","secure_cloud","serverless"] for on-demand only |
| target_usd_per_gpu_hr | number | Optional: your quoted price; returns its percentile vs the comps |
Output
Schema · Response
{
"type": "json",
"example": {
"gpus": [
{
"gpu": "h100",
"offers": [
{
"sku": "H100 PCIe",
"tier": "community_cloud",
"provider": "runpod",
"fetched_at": "2026-10-28T17:37:00Z",
"source_url": "https://www.runpod.io/pricing",
"usd_per_gpu_hr": 1.99
}
],
"summary": {
"max": 6.16,
"min": 1.99,
"median": 3.95,
"offers": 11,
"cheapest": {
"sku": "H100 PCIe",
"tier": "community_cloud",
"provider": "runpod"
},
"providers": 4,
"on_demand_median": 3.04
}
}
],
"unit": "USD per GPU-hour, listed (not transacted) prices",
"sources": [
{
"ok": true,
"url": "https://www.runpod.io/pricing",
"stale": false,
"offers": 38,
"provider": "runpod",
"fetched_at": "2026-10-28T17:37:00Z"
}
],
"freshness": {
"any_stale": false,
"cache_ttl_minutes": 60,
"oldest_source_age_minutes": 12
},
"generated_at": "2026-10-28T17:49:04Z"
}
}Tags
x402
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