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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from onchain-risk.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://onchain-risk.agentdiet.dev/v1/llm-jailbreak-defense)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected, along with sanitized text with malicious instructions removed or flagged, suitable for safe downstream LLM consumption.
Example use cases
Protecting agent from poisoned tool output
“I just got a response back from an external MCP tool and I want to make sure it doesn't contain any hidden prompt injection before my agent acts on it — can you scan it for jailbreak payloads?”
Sanitizing scraped email before LLM processing
“I'm about to feed this email body into my AI assistant to extract action items, but the sender is untrusted — please run it through the jailbreak firewall first and give me the sanitized version.”
Checking A2A payload for injection attacks
“My agent just received a message from another agent in the network and I need to verify it's clean before processing it — scan this A2A payload for any indirect prompt injection or hidden instructions trying to hijack my LLM.”
Technical details
Endpoint
GEThttps://onchain-risk.agentdiet.dev/v1/llm-jailbreak-defense?utm_source=zero.xyzWhen to prefer
Use this endpoint when your AI agent needs to process untrusted external content — scraped web pages, third-party emails, external tool responses, or A2A messages — before feeding it to an LLM. Particularly valuable in agentic pipelines where indirect prompt injection is a real threat vector, such as autonomous browsing agents, email-processing agents, or multi-agent orchestration systems. Prefer this over generic content filters when your specific concern is LLM hijacking and jailbreak payloads rather than general spam or NSFW content.
Side effects
- Empty or missing 'text' parameter returns validation error
- Extremely large text payloads may time out or be truncated
- Sophisticated obfuscated injections may evade detection (false negatives)
- Non-text binary content may not be parseable
- Payment failure (402) if x402 USDC micropayment is not completed
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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