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Prism Network Batch LLM Inference (GPU Rental, Onchain Settlement)
x402
Prism Network Batch LLM Inference (GPU Rental, Onchain Settlement) is a paid API for AI agents from api.prismnetwork.tech, paid per call via x402, $0.012144/call, status unknown (last checked 2026-10-11).
Runs multiple LLM prompts in a single batch on rented NVIDIA GPU compute, billed per-second in USDG and settled onchain with a Merkle-verified receipt.
Price / call$0.012144
Success—
StatusUnknown
How this service works
GPU compute your agents can rent with a wallet. Lease NVIDIA capacity, pay per second in USDG, and settle every lease onchain with a public receipt.
Output
Returns a JSON object with: an array of per-prompt items each containing the generated response text, token usage (prompt + completion tokens, duration in ms), a lease ID, a sha256 commitment of the prompt and response, and a Merkle proof; plus aggregate token usage across the batch and a signed onchain receipt with the payer address, Merkle root, list of lease IDs, amount paid in micros, and the settlement transaction hash.
Example use cases
Agent pipeline parallel question answering
“I have 10 questions I need answered by llama3.2:3b all at once — run them as a batch on Prism, cap each answer at 128 tokens, and give me the onchain receipt so I can audit the compute spend.”
Onchain audit trail for AI decisions
“My compliance workflow needs proof that these 5 prompts were answered by a specific LLM — send them to llama3.1:8b on Prism with a max of 512 tokens each and return the Merkle-verified receipt with the settlement transaction hash.”
Cost-controlled bulk content generation
“Generate short product descriptions for these 20 item names using llama3.2:3b, limit each to 64 tokens to keep costs down, and pay from my wallet — I want the per-item usage stats back too.”
Technical details
Endpoint
POSThttps://api.prismnetwork.tech/inference/v1/batch?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to process multiple independent prompts in one API call and require a cryptographically verifiable, onchain receipt of the compute spend — ideal for AI agents that must audit their own inference costs, compliance workflows that need tamper-evident proof of LLM outputs, or any pipeline where you want to minimize round-trips while paying trustlessly from a wallet. Prefer over single-inference endpoints when batch size is 2–64 prompts.
Side effects
- Insufficient wallet balance or payment failure — returns 402 Payment Required
- Model name not in enum ('llama3.2:3b' or 'llama3.1:8b') — validation error
- Prompt array empty or exceeds 64 items — returns schema validation error
- Individual prompt exceeds 32 KiB — item rejected or truncated
- num_predict out of range (must be 1–1024) — validation error
- GPU lease unavailable — service temporarily unavailable
- Onchain settlement failure — receipt may not include settlement_tx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Which model answers every prompt. |
| options | object | Generation options, applied to every prompt. The price scales with the output cap. |
| prompts | array | Independent prompts, answered in the order given. |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 2,
"items": [
{
"index": 0,
"usage": {
"duration_ms": 640,
"prompt_tokens": 12,
"completion_tokens": 14
},
"lease_id": 1047,
"response": "Metered GPU compute bills by the second and settles onchain.",
"commitment": {
"index": 0,
"model": "llama3.2:3b",
"prompt": "sha256:9f2c...",
"lease_id": 1047,
"response": "sha256:41ab...",
"prompt_tokens": 12,
"completion_tokens": 14
},
"merkle_proof": [
{
"hash": "sha256:7d10...",
"side": "right"
}
]
}
],
"model": "llama3.2:3b",
"usage": {
"prompt_tokens": 25,
"completion_tokens": 31
},
"receipt": {
"count": 2,
"model": "llama3.2:3b",
"payer": "0x0000000000000000000000000000000000000001",
"version": 1,
"algorithm": "rfc6962-sha256",
"issued_at": "2026-08-24T09:00:00.000Z",
"lease_ids": [
1047,
1048
],
"merkle_root": "sha256:c3e8...",
"paid_micros": "12144",
"settlement_tx": "0x..."
}
}
}Tags
x402
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