# TensorRT Model Compiler MCP

> TensorRT Model Compiler MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-09-15).

Compiles and optimizes neural network models using NVIDIA TensorRT for accelerated inference deployment

## Facts

- Endpoint: POST https://api.m2mcent.com/tensorrt-model-compiler-mcp/api/process
- Price: $0.3/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tensorrt-model-compiler-mcp-f82df85d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sqqt6KtIEU7pDYDG0pmO9

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 tensorrt-model-compiler-mcp-f82df85d -d '<json body>'
```

Example prompt: Can you compile my ONNX model into a TensorRT-optimized engine so I can deploy it for fast GPU inference? Here's the model data: <base64-encoded-model>.

## When to prefer this

Choose this endpoint when you need to compile or optimize a neural network model specifically for NVIDIA GPU-accelerated inference using TensorRT, particularly for production deployment requiring low latency. Prefer this over generic model serving endpoints when GPU inference speed is critical and TensorRT compatibility is required.

## Known failure modes

- Unsupported model architecture or layer types not compatible with TensorRT
- Malformed or invalid model data in the input string
- Model too large to compile within service constraints
- Missing required data field in request body
- Compilation timeout for very large or complex models
- Incompatible precision or hardware target settings

## 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 TensorRT-compiled engine or optimized model artifact suitable for high-performance GPU inference, likely including the compiled binary plan and potentially metadata about optimization results such as layer fusion and precision settings.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tensorrt-model-compiler-mcp-f82df85d/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)