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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from preflight.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://preflight.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 downstream LLM consumption. The response includes a detection verdict and cleaned content stripped of malicious injection attempts.
Example use cases
Guarding agent from malicious web pages
“I have an autonomous agent that browses the web and summarizes pages — before it reads any scraped HTML, scan it for hidden prompt injections so the page can't hijack my agent's behavior.”
Filtering untrusted email content
“My AI assistant processes incoming emails and I'm worried about prompt injection attacks hidden in the body text — can you scan this email content and tell me if it contains any jailbreak payloads before my agent acts on it?”
Securing MCP tool response pipeline
“My agent just got back a response from a third-party MCP tool and I want to make sure it's not trying to inject hidden instructions — scan this tool output for prompt injection attempts before I let my agent continue.”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/jailbreak-scan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to consume untrusted external content — web pages, emails, API responses, or MCP/A2A tool outputs — and you need a dedicated security layer to detect and strip prompt injection or jailbreak payloads before they reach your LLM. Prefer it over generic content filters when your threat model specifically involves adversarial prompt injection in agentic pipelines, especially in A2A or MCP architectures.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long inputs may be truncated or rejected
- False negatives are possible for novel or obfuscated injection techniques
- Service unavailability or payment failure (402) if x402 micropayment is not properly handled
- Non-text binary content may not be scanned accurately
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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