# Thermal Throttle Predictor MCP

> Thermal Throttle Predictor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Predicts thermal throttling conditions for hardware or systems based on provided data input

## Facts

- Endpoint: POST https://api.m2mcent.com/thermal-throttle-predictor-mcp/api/process
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/thermal-throttle-predictor-mcp-6c1dffc3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Fv91iQbv8zmWsgSpzPsIz

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 thermal-throttle-predictor-mcp-6c1dffc3 -d '<json body>'
```

Example prompt: Can you predict whether my CPU will thermally throttle given these system specs and workload data: a 12-core processor running at 95% utilization with ambient temperature at 35°C and a TDP of 125W?

## When to prefer this

Choose this endpoint when you need to proactively assess thermal throttling risk before running intensive workloads on specific hardware, or when optimizing system configurations to avoid performance degradation due to heat. Prefer this over generic hardware benchmarking tools when you specifically need throttle prediction rather than historical performance data.

## Known failure modes

- Missing or malformed 'data' field in request body returns an error
- Ambiguous or insufficiently detailed input data may produce low-confidence predictions
- Payment failure via x402 protocol results in 402 response and no prediction
- Unsupported hardware profiles may yield generic or unavailable predictions

## 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 prediction indicating the likelihood or conditions under which thermal throttling will occur, potentially including a risk score, expected throttle onset conditions, and performance impact estimates based on the submitted system and workload data.

## 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/thermal-throttle-predictor-mcp-6c1dffc3/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)