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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from mcp-security.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-21).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injection and jailbreak attacks, returning sanitized output.
Price / call$0.005
Success—
StatusUnknown
How this service works
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections and returns sanitized text. (Live x402 v2, IETF MPP & MCP endpoint at https://mcp-security.agentdiet.dev/v1/tool-poisoning-shield)
Output
Returns a structured object indicating whether the input text contains prompt injection or jailbreak content, along with sanitized text safe for downstream LLM consumption.
Example use cases
Securing agent web browsing pipeline
“I'm building an agent that browses the web and I'm worried about prompt injection attacks hidden in pages. Can you scan this HTML I just scraped from an untrusted site before passing it to the LLM?”
Filtering inbound emails for AI helpdesk
“My AI support agent reads incoming customer emails — can you check this email body for hidden prompt injections or jailbreak payloads before the agent acts on it?”
Validating MCP tool responses
“My agent just got back a response from an external MCP tool and I want to make sure it's safe. Can you run this tool output through the prompt-injection firewall before I let the agent use it?”
Technical details
Endpoint
GEThttps://mcp-security.agentdiet.dev/v1/tool-poisoning-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — web pages, emails, MCP/A2A payloads, or user-submitted text — and you need a dedicated firewall step to detect and neutralize hidden prompt injection or jailbreak attempts before the content reaches your LLM. Prefer it over generic content filters when you specifically need LLM-oriented adversarial attack detection in an agent-to-agent or agentic workflow context.
Side effects
- Missing required 'text' parameter returns a 400 error
- Empty string input rejected due to minLength:1 constraint
- Very large payloads may timeout or be truncated
- Obfuscated or encoded injections may evade detection
- Payment failure (402) if x402 micropayment is not completed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads |
Output
Schema · Response
{
"type": "object"
}Reviews
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