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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from token-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 injection and jailbreak attacks, 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://token-intel.agentdiet.dev/v1/jailbreak-scan)
Output
Returns a structured object indicating whether the input text contains prompt injection or jailbreak payloads, along with sanitized text safe for the agent to process.
Example use cases
Protecting agent from malicious web content
“I'm having my agent browse the web to research competitors, but I'm worried about prompt injection attacks hidden in web pages — can you scan each page's text through the jailbreak firewall before my agent reads it?”
Sanitizing user-submitted email before LLM processing
“Our support bot reads incoming customer emails and I want to make sure none of them contain hidden jailbreak instructions — scan this email body for prompt injection payloads before passing it to the model.”
Validating MCP tool response before agent consumption
“My agent just got a response back from a third-party MCP tool and I don't fully trust it — can you run the response text through the prompt-injection scanner to make sure there are no hidden instructions trying to hijack my agent?”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/jailbreak-scan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent needs to safely process untrusted external content — such as scraped web pages, user-submitted text, third-party API responses, MCP tool outputs, or A2A payloads — before passing them into an LLM context. It is especially valuable in agentic pipelines where indirect prompt injection is a real attack surface. Prefer this over general-purpose content moderation APIs when the threat model is specifically adversarial LLM manipulation rather than hate speech or NSFW content.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Very long payloads may hit query string length limits since text is passed as a GET query parameter
- Ambiguous or novel injection techniques may not be detected (false negatives)
- Non-English or heavily encoded payloads may reduce detection accuracy
- Payment required error (402) if USDC micropayment is not provided
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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