# FP16 Mixed Precision MCP

> FP16 Mixed Precision MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.3/call, status unknown (last checked 2026-10-16).

Processes data using FP16 mixed-precision computation, applying half-precision floating-point arithmetic optimized for performance-sensitive AI/ML workflows.

## Facts

- Endpoint: POST https://api.m2mcent.com/fp16-mixed-precision-mcp/api/process?utm_source=zero.xyz
- Price: $0.3/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fp16-mixed-precision-mcp-6f0d9b59
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lopTVlbDvc3rMgApYQgck

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 fp16-mixed-precision-mcp-6f0d9b59 -d '<json body>'
```

Example prompt: Can you run my numerical data through the FP16 mixed-precision processor? Here's the data: [0.123, 0.456, 0.789, 1.234, 5.678].

## When to prefer this

Choose this endpoint when you need to apply FP16 mixed-precision arithmetic to data for ML inference optimization, memory reduction, or numerical computing tasks. Prefer this over full FP32 processing when speed and memory efficiency are priorities and slight precision loss is acceptable.

## Known failure modes

- Invalid or malformed data string returns 400 error
- Data values outside representable FP16 range may produce infinity or NaN outputs
- Payment failure via x402 protocol blocks request
- Overly large data payloads may be rejected or time out
- Non-numeric string data may produce unexpected transformation results

## 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 the result of FP16 mixed-precision computation applied to the submitted data, including processed output values in half-precision floating-point format suitable for ML inference or numerical analysis pipelines.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fp16-mixed-precision-mcp-6f0d9b59/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)