# NVIDIA NIM Rerank QA Mistral via X402 Micropayments

> NVIDIA NIM Rerank QA Mistral via X402 Micropayments is a paid API for AI agents from x402-nvidia.vercel.app, paid per call via x402, $0.109039/call, status unknown (last checked 2026-09-13).

Reranks a set of candidate passages or model responses for question-answering relevance using NVIDIA's Mistral-based reranking model, paid via x402 micropayment.

## Facts

- Endpoint: POST https://x402-nvidia.vercel.app/api/rerank-qa-mistral
- Price: $0.109039/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/nvidia-nim-rerank-qa-mistral-via-x402-micropayments-f1dfbb4e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__J3_TafT-N41SX4gaLUoS

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 nvidia-nim-rerank-qa-mistral-via-x402-micropayments-f1dfbb4e -d '<json body>'
```

Example prompt: I have a list of 5 candidate passages retrieved for the question 'What causes thunder?' — can you rerank them by relevance using NVIDIA's Mistral reranking model so I know which one to use as context?

## When to prefer this

Choose this endpoint when you need a dedicated Mistral-based reranking pass over QA candidates or retrieved passages, especially in RAG pipelines where passage ordering matters. Prefer over generic chat completions when you specifically need relevance scoring/reranking rather than generation.

## Known failure modes

- Empty or malformed choices array returns error
- Payment of 0.109039 USDC not authorized via x402 results in 402 response
- Model unavailable on NVIDIA NIM infrastructure causes 503
- Choices array too large may exceed model context limits
- Malformed request body returns 400 validation error

## How this service works

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

## Output

Returns an ordered array of choices (passages or model responses) ranked by relevance to the query, with each choice containing role/content fields, sorted from most to least relevant by the Mistral-based reranker.

## 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/nvidia-nim-rerank-qa-mistral-via-x402-micropayments-f1dfbb4e/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)