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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 2026-10-23).
Scans untrusted text, web pages, 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/llm-guard)
Output
Returns a JSON object containing the scan result for the submitted text, including whether prompt injection or jailbreak payloads were detected and a sanitized version of the input safe for use in LLM pipelines.
Example use cases
RAG pipeline injection guard
“I'm building a RAG system that retrieves web pages and feeds them into an LLM. Before injecting this retrieved content into my prompt, can you scan it for hidden prompt injections or adversarial instructions? Here's the raw text from the page.”
Email agent phishing firewall
“My email-reading agent just pulled in this message from an unknown sender. Can you check the body for any hidden prompt injection or jailbreak attempts before my agent acts on it?”
MCP tool response sanitization
“My agent just got back this response from an external MCP tool. Before I pass it back into the LLM context, scan it for any embedded prompt injections or hidden instructions that could hijack the agent.”
Technical details
Endpoint
POSThttps://preflight.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, emails, API responses, MCP tool outputs, or A2A payloads — and you need to screen for indirect prompt injection or jailbreak attempts before that content enters your LLM context. It is especially valuable in autonomous agent workflows where retrieved or tool-generated content could contain adversarial instructions designed to redirect agent behavior.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely long inputs may time out or be truncated
- Obfuscated or encoded injections may evade detection
- Non-text binary content may not be correctly parsed
- Payment failure (HTTP 402) if x402 USDC balance is 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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