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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 2026-10-28).
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://domain-osint.agentdiet.dev/v1/mcp-injection-firewall)
Output
Returns an object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads removed or flagged, along with detection metadata indicating whether threats were found.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this webpage content into my AI pipeline — can you first scan it for any hidden prompt injections or jailbreak payloads embedded in the HTML and return a clean version I can safely use?”
Protecting agent from malicious email body
“Before my agent processes this email that came in from an unknown sender, scan the body text for any indirect prompt injection attempts or hidden instructions trying to hijack the agent's behavior.”
Validating MCP tool response before chaining
“My agent just got a response back from an external MCP tool and I want to make sure it's safe — can you run that tool output through the injection firewall to detect any prompt injection or jailbreak content before I pass it to the next step?”
Technical details
Endpoint
POSThttps://domain-osint.agentdiet.dev/v1/mcp-injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — scraped web pages, user emails, third-party MCP/A2A tool responses, or any user-submitted text — and you need a dedicated firewall step before passing that content to downstream LLM reasoning. Prefer this over general-purpose text classifiers when you specifically need prompt-injection and jailbreak detection rather than generic content moderation, and when operating in agentic workflows where indirect prompt injection is a meaningful attack surface.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Extremely large payloads may time out or be truncated
- Payment not included or insufficient funds returns HTTP 402
- Ambiguous injections near legitimate instructions may produce false positives or false negatives
- Non-text binary content may not be properly scanned
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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