# X402-NVIDIA DeepSeek V4 Pro via NIM

> X402-NVIDIA DeepSeek V4 Pro via NIM is a paid API for AI agents from x402-nvidia.vercel.app, paid per call via x402, $0.142844/call, status unknown (last checked 2026-09-15).

Run DeepSeek V4 Pro chat completions through NVIDIA NIM infrastructure, paid per-call via x402 micropayments in USDC.

## Facts

- Endpoint: POST https://x402-nvidia.vercel.app/api/deepseek-v4-pro
- Price: $0.142844/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-nvidia-deepseek-v4-pro-via-nim-ec31dfac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8fqttajLNEOZzdElT3-z5

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability x402-nvidia-deepseek-v4-pro-via-nim-ec31dfac -d '<json body>'
```

Example prompt: Use DeepSeek V4 Pro on NVIDIA NIM to answer this: 'Explain the key differences between transformer and state-space models in language modeling, with concrete examples.'

## When to prefer this

Choose this endpoint when you need DeepSeek V4 Pro's reasoning capabilities hosted on NVIDIA NIM infrastructure and want to pay only per call via x402 USDC micropayments, without managing API subscriptions or API keys for NVIDIA or DeepSeek directly.

## Known failure modes

- Payment failure or insufficient USDC balance causes 402 error and no response
- Invalid or missing message array results in a 400 bad request
- Model overload or NVIDIA NIM backend unavailability causes 503 or timeout
- Malformed JSON body returns a parse error
- Rate limiting if too many concurrent requests are made

## How this service works

Access 48+ NVIDIA NIM AI models via x402 micropayments. Chat completions, vision, safety, translation, and more.

## Output

A chat completion object with a choices array containing the assistant's generated message, mirroring the OpenAI-compatible response format with role and content fields.

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "example": {
  "choices": [
   {
    "message": {
     "role": "assistant",
     "content": "Hello!"
    }
   }
  ]
 },
 "properties": {
  "choices": {
   "type": "array",
   "description": "Model responses"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-nvidia-deepseek-v4-pro-via-nim-ec31dfac/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-nvidia.vercel.app](https://www.zero.xyz/host/x402-nvidia.vercel.app/llms.txt)