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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from sec-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 injections and jailbreak attempts, returning sanitized text.
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://sec-intel.agentdiet.dev/v1/prompt-firewall)
Output
Returns a sanitized version of the input text with hidden prompt injection or jailbreak payloads removed or flagged, along with detection metadata indicating whether an injection attempt was found.
Example use cases
Sanitize scraped web content for agent
“I'm about to feed this web page's raw HTML into my AI pipeline — can you first scan it for any hidden prompt injections or embedded jailbreak instructions so it's safe to process?”
Filter suspicious MCP tool response
“My agent just got back a response from an MCP server I don't fully trust. Can you check this payload for any hidden instructions trying to hijack my agent before I let it act on the result?”
Screen inbound email for AI hijacking
“This customer email is going to be read and summarized by my AI assistant — scan it first to make sure there are no sneaky prompt injection attacks hiding in the text that could manipulate my agent.”
Technical details
Endpoint
GEThttps://sec-intel.agentdiet.dev/v1/prompt-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to process untrusted external content — scraped web pages, inbound emails, third-party API responses, MCP tool outputs, or A2A payloads — and you need to detect and strip hidden prompt injection or jailbreak attempts before that content influences agent behavior. Prefer this over generic content filters when the specific threat model is LLM prompt hijacking rather than spam or toxicity.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Excessively large payloads may be rejected or truncated
- Payment failure (HTTP 402) if x402 USDC micropayment is not completed
- Network timeout for very large HTML documents
- False negatives: sophisticated obfuscated injections may not be detected
- False positives: legitimate instructional content may be flagged as injection
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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