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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 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://email-verify.agentdiet.dev/v1/injection-firewall)
Output
Returns a JSON object containing the sanitized version of the input text with hidden prompt injections and jailbreak payloads removed or flagged, along with detection signals indicating whether malicious content was found.
Example use cases
Sanitize scraped web content for agent pipeline
“I'm about to feed this scraped article HTML into my agent pipeline — can you scan it for any hidden prompt injection instructions first and give me back the clean version?”
Validate MCP tool response before agent action
“Before my agent acts on that MCP tool response, check the raw payload for any embedded jailbreak or prompt hijacking attempts — flag anything suspicious and return the sanitized text.”
Screen inbound email for agent manipulation
“This email is going to be read and summarized by my AI agent — scan the body text for any hidden prompt injection or jailbreak payloads before it gets processed.”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — web pages, emails, third-party API responses, MCP tool outputs, or A2A agent messages — and you need to detect and strip hidden prompt injections or jailbreak payloads before they can manipulate downstream agent behavior. Prefer this over generic content filters when you specifically need LLM-aware injection pattern detection rather than spam or malware scanning.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long text inputs may be truncated or rejected
- False negatives possible for novel or highly obfuscated injection techniques
- Payment failure (402) if x402 USDC balance is insufficient
- Network timeout on very large HTML payloads
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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