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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from llms-generator.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 and returns 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://llms-generator.agentdiet.dev/v1/prompt-injection-shield)
Output
Returns an object containing the sanitized version of the submitted text with any detected prompt-injection or jailbreak payloads removed or flagged, allowing the calling agent to safely consume external content without risk of adversarial instruction hijacking.
Example use cases
Safeguard agent from poisoned web content
“I'm about to have my agent summarize this article it scraped from an unknown website — can you first check the raw HTML for any hidden prompt injections or jailbreak instructions and give me the safe version?”
Screen incoming email before LLM processing
“Before my AI assistant reads and replies to this customer email, scan the body text for any embedded prompt injection or jailbreak payloads and return the sanitized version I can safely pass to it.”
Validate MCP tool response for adversarial content
“My agent just got back a response from an external MCP tool — can you run it through your prompt-injection firewall to make sure there are no hidden instructions or jailbreak attempts before I let my agent act on it?”
Technical details
Endpoint
GEThttps://llms-generator.agentdiet.dev/v1/prompt-injection-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to consume untrusted external content — scraped web pages, emails, MCP/A2A tool responses, or user-supplied text — and you need to screen it for hidden prompt injections or jailbreak attempts before passing it to your LLM. Prefer it over generic content moderation endpoints when the specific threat model is adversarial instructions embedded in otherwise benign-looking content targeting AI agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may hit size limits or timeout
- Ambiguous borderline content may not be flagged (false negatives)
- Payment failure (HTTP 402) if x402 payment is not provided or insufficient
- 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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