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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from x402-audit.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://x402-audit.agentdiet.dev/v1/system-prompt-guard)
Output
Returns a structured object indicating whether prompt injection or jailbreak payloads were detected in the input text, along with a sanitized version of the content safe for downstream LLM or agent consumption.
Example use cases
Protecting agent from malicious web scrape
“I just scraped this webpage to feed into my AI pipeline, but I'm worried it might contain hidden prompt injections — can you scan this HTML for any embedded jailbreak attempts and return the clean version?”
Validating inbound email before LLM processing
“Before my agent reads and summarizes this inbound email, check it for indirect prompt injection attacks or hidden instructions that could hijack the agent's behavior.”
Sanitizing MCP tool response in agentic workflow
“My agent just got back a response from an external MCP tool and I need to make sure it doesn't contain adversarial prompts before passing it downstream — can you run it through the jailbreak firewall?”
Technical details
Endpoint
GEThttps://x402-audit.agentdiet.dev/v1/system-prompt-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, emails, user submissions, MCP tool outputs, or A2A payloads — before passing that content to an LLM, to protect against indirect prompt injection and jailbreak attacks embedded in third-party data. Prefer this over generic content filters when your specific threat model involves adversarial LLM manipulation rather than spam or toxic language.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may time out or be truncated
- Novel or obfuscated injection techniques may evade detection
- Non-English or encoded injection patterns may reduce detection accuracy
- HTTP 402 payment required if x402 payment header is absent or insufficient
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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