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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from token-intel.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 attempts, returning sanitized content.
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://token-intel.agentdiet.dev/v1/llm-guard)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected, along with sanitized text stripped of malicious instructions, allowing the agent to safely process the cleaned output.
Example use cases
Sanitizing scraped web content for agent pipelines
“I just scraped a third-party website and I want to feed its content to my AI agent — can you first scan this HTML for hidden prompt injections and return only the sanitized text?”
Screening MCP tool responses before execution
“My agent just got back a response from an external MCP tool — before I act on it, can you check this payload for embedded jailbreak or prompt-override instructions?”
Filtering inbound emails for LLM processing
“I'm building an email-processing agent and I want every incoming email body scanned for indirect prompt injection attacks before my LLM reads it — can you check this email text now?”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent needs to safely ingest content from untrusted external sources — web scrapes, emails, third-party API responses, MCP payloads, or A2A messages — before passing them to an LLM. It is specifically designed for the indirect prompt-injection attack vector where malicious instructions are hidden inside seemingly benign content, rather than injected directly into a user prompt.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Very long payloads may exceed request size limits
- Obfuscated or encoded injections may evade detection
- Payment not processed (402) blocks the request
- False positives may strip legitimate content resembling injection patterns
- Network timeout on large HTML documents
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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