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Tarnak GPU Procurement Advisor
x402
Tarnak GPU Procurement Advisor is a paid API for AI agents from api.capousd-student-tools.me, paid per call via x402, $5/call, status unknown (last checked 2026-10-31).
Returns a rent-vs-buy decision with recommended GPU configuration, pricing, and cost breakdown for running a specified LLM workload.
Price / call$5
Success—
StatusUnknown
How this service works
Keyless pay-per-call APIs for AI agents on Base: token risk verdict, rug/honeypot report, gas estimate, URL-to-markdown and more. x402 v2, USDC, no API key or signup. 10 free verdicts per IP per day.
Output
A JSON object containing: a rent/buy decision with confidence level, the recommended GPU model and count, price per GPU-hour, total all-in USD cost, cost breakdown (compute + contingency), minimum and recommended VRAM requirements, a human-readable recommendation string, and optionally a list of alternative GPU configurations.
Example use cases
LLM inference cost estimation
“I want to run llama-3-70b for 48 hours with int8 quantization — what GPU should I rent, how many do I need, and what will the all-in cost be?”
Budget-constrained GPU selection
“I have a $50 budget to run a llama-3-70b workload with int4 quantization for up to 24 hours — what's the best GPU option that fits, and is it worth renting vs buying?”
Multi-GPU workload planning
“I need to run llama-3-70b in fp16 for 72 hours across up to 4 GPUs — can you find me the recommended setup with cost breakdown and tell me if renting makes sense?”
Technical details
Endpoint
GEThttps://api.capousd-student-tools.me/v1/gpu/procurement?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent or developer needs a data-driven rent-vs-buy recommendation and cost estimate for running a specific LLM workload on GPU hardware. It is ideal for infrastructure planning, budget estimation, and procurement decisions without requiring account signup or API keys — paying per-call via x402 USDC.
Side effects
- Missing required 'model' query parameter returns validation error
- Unsupported or misspelled model name may yield low-confidence or empty results
- No live GPU offers matching the workload returns empty alternatives array
- Budget too low for any matching offer results in no recommendation
- Invalid quantization value (not int4/int8/fp16) rejected by schema
- GPU count outside 1–16 range returns validation error
- Hours outside 1–720 range rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"decision": "rent",
"workload": {
"hours": 24,
"model": "llama-3-70b",
"quantization": "int4"
},
"confidence": "medium",
"recommended": {
"gpu_model": "H100 SXM",
"all_in_usd": 39.34,
"required_gpus": 1,
"price_usd_per_gpu_hr": 1.49
},
"alternatives": [],
"requirements": {
"min_vram_gb": 40,
"recommended_vram_gb": 48
},
"cost_breakdown": {
"all_in_usd": 39.34,
"compute_usd": 35.76,
"contingency_usd": 3.58
},
"decision_basis": "Live offers matched the workload.",
"recommendation": "Rent 1x H100 for 24h; confirm availability before paying.",
"report_version": 1
}
}Tags
x402
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