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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/llm-guard)
Output
Returns a structured object indicating whether prompt injection or jailbreak payloads were detected in the submitted text, along with sanitized/cleaned text safe for LLM consumption.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this scraped webpage text into my LLM pipeline — can you scan it for any hidden prompt injections or jailbreak payloads first and give me the cleaned version?”
Screening inbound emails before processing
“Before my agent reads and acts on this customer email, check it for any embedded prompt injection attacks that might try to override my agent's instructions.”
Validating MCP tool responses in agentic workflows
“My agent just got back a response from an external MCP tool — can you run it through the LLM guard firewall to detect any hidden instructions before I let the agent use that output?”
Technical details
Endpoint
GEThttps://x402-audit.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — web pages, emails, third-party tool outputs, or A2A payloads — and you need a fast, per-call firewall check before passing that content to an LLM. Especially valuable in autonomous agent workflows where indirect prompt injection is a real attack surface. Prefer this over generic content filters when you specifically need injection/jailbreak detection tailored to LLM attack vectors rather than spam or toxicity filtering.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long inputs may be truncated or rejected
- False negatives: sophisticated obfuscated injections may not be caught
- False positives: legitimate instructional content may be flagged
- Payment failure (HTTP 402) if x402 USDC micropayment is not properly attached
- Service unavailability returns 5xx errors
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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