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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from email-verify.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 injections and jailbreak attempts, 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://email-verify.agentdiet.dev/v1/prompt-firewall)
Output
Returns a JSON object containing the scan result for the submitted text, including detection of any hidden prompt injection payloads or jailbreak attempts and a sanitized version of the input text safe for further LLM processing.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this webpage's text into my AI pipeline — can you scan it for hidden prompt injections or jailbreak payloads first and give me the sanitized version?”
Checking third-party API responses
“My agent just got a response from an external MCP tool and I want to make sure it doesn't contain any sneaky embedded instructions — can you run it through the prompt firewall before I process it?”
Filtering user-submitted email content
“A user forwarded me this email and I need to pass its content to my AI assistant, but I'm worried it might have hidden prompt injection text — please scan it and return the cleaned version.”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/prompt-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent needs to process content from untrusted external sources — scraped web pages, forwarded emails, third-party API or MCP tool responses, or A2A payloads — before passing them to an LLM. It is specifically designed for the indirect prompt injection threat vector where malicious instructions are hidden inside external content rather than typed directly by a user. Prefer this over generic content filters when the threat model is LLM manipulation rather than spam or NSFW content.
Side effects
- Missing or empty 'text' parameter returns a 400 validation error
- Extremely long text inputs may be truncated or time out
- Novel or obfuscated injection patterns may evade detection
- Non-text binary content may not be parsed correctly
- Payment not completed (x402) results in 402 Payment Required response
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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