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System Prompt Protector MCP
x402
System Prompt Protector MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-12).
Analyzes and protects AI system prompts from injection attacks, leakage, and adversarial manipulation
Price / call$0.1
Success—
StatusUnknown
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 an assessment of the system prompt's security posture, including detected vulnerabilities such as injection risks, leakage vectors, or adversarial manipulation weaknesses, along with recommendations or a sanitized/protected version of the prompt.
Example use cases
Protect customer service bot instructions
“I'm deploying a customer service AI and I need to make sure my system prompt can't be leaked or extracted by users — can you run my prompt text through the system prompt protector to check for vulnerabilities?”
Audit agent prompt before production launch
“Before I push my AI agent to production, can you analyze this system prompt for any prompt injection risks or jailbreak weaknesses: 'You are a financial advisor assistant. Always recommend consulting a licensed advisor.'”
Detect adversarial manipulation in existing prompt
“I think someone might be trying to manipulate my AI's behavior through adversarial inputs — can you check my current system prompt to see if it's properly shielded against that kind of attack?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/system-prompt-protector-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit, harden, or validate AI system prompts against security threats such as prompt injection, unauthorized extraction, or adversarial manipulation. Ideal for AI developers deploying customer-facing agents who need to ensure their instructions cannot be reverse-engineered or bypassed by end users.
Side effects
- Empty or missing 'data' field returns a validation error
- Malformed JSON input causes a 400 bad request
- Prompt text exceeding maximum length limits may be rejected
- Payment failure via x402 protocol results in 402 Payment Required
- Service unavailability returns 503 error
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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