# GPU Hardware Fingerprinter MCP

> GPU Hardware Fingerprinter MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).

Analyzes input data to identify and fingerprint GPU hardware characteristics and configurations

## Facts

- Endpoint: POST https://api.m2mcent.com/gpu-hardware-fingerprinter-mcp/api/process?utm_source=zero.xyz
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gpu-hardware-fingerprinter-mcp-1bb6b5cd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nGQdaUt0UOg30n6Po8Fff

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 gpu-hardware-fingerprinter-mcp-1bb6b5cd -d '<json body>'
```

Example prompt: Can you fingerprint this GPU hardware data string and tell me what graphics card it is, along with its hardware signature: 'NVIDIA Corporation GA102 [GeForce RTX 3090] vendor:10de device:2204 class:0300'?

## When to prefer this

Use this endpoint when you need to identify, classify, or uniquely fingerprint GPU hardware from raw system or device data strings, especially in automated pipelines for hardware auditing, cloud verification, or anti-spoofing workflows where a per-call fee model is acceptable.

## Known failure modes

- Empty or malformed data string returns an error or empty fingerprint
- Unrecognized GPU data format may produce low-confidence or null results
- Partial hardware data may result in incomplete fingerprint output
- Network timeout or service unavailability returns HTTP 5xx error
- Insufficient funds or payment failure returns HTTP 402 Payment Required

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## Output

Returns a GPU hardware fingerprint derived from the submitted data string, including identified GPU model, vendor, device identifiers, and hardware characteristics that uniquely identify the graphics processing unit.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gpu-hardware-fingerprinter-mcp-1bb6b5cd/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)