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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from domain-osint.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 content.
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://domain-osint.agentdiet.dev/v1/rag-poison-shield)
Output
Returns a JSON object containing the scan result for the submitted text, including whether hidden prompt injections or jailbreak payloads were detected and a sanitized version of the content safe for further LLM processing.
Example use cases
RAG pipeline poisoning protection
“I'm building a RAG system that fetches documents from the web — can you scan each retrieved chunk through the prompt-injection firewall before it gets added to the context window, so no hidden instructions slip through?”
MCP tool response sanitization
“That MCP server returned a tool response from an external source — scan it for hidden prompt injections or jailbreak payloads before I let it influence the next agent action.”
Email-driven agent attack prevention
“My agent reads and processes incoming emails — before it acts on this email body, run it through the jailbreak firewall to make sure there are no embedded prompt injection attacks hiding in the text.”
Technical details
Endpoint
GEThttps://domain-osint.agentdiet.dev/v1/rag-poison-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — scraped web pages, third-party API responses, MCP tool outputs, A2A agent payloads, or emails — and you need a dedicated security layer to detect and neutralize hidden prompt injection or jailbreak instructions before they can manipulate your LLM. Prefer this over generic content filtering when the specific threat model is indirect prompt injection in agentic or RAG workflows.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long text inputs may be truncated or rejected
- Obfuscated or encoded injection attempts may evade detection
- Non-textual binary content passed as text may produce unexpected results
- Network timeout if the firewall service is under load
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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