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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 text.
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 a sanitized version of the submitted text with prompt injections and jailbreak payloads removed or flagged, along with detection metadata indicating whether malicious content was found.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this scraped web page into my agent — can you run it through the prompt injection firewall first to strip out any hidden instructions before it processes the content?”
Protecting agent from malicious MCP responses
“This MCP tool just returned a response and I'm worried it might contain embedded adversarial instructions — scan the payload for any prompt injections or jailbreak attempts before I let my agent act on it.”
Screening user-submitted text in multi-agent pipeline
“A user submitted this message to our multi-agent system and I need to make sure it doesn't contain any hidden prompt injection or jailbreak payloads before it reaches the orchestrator — can you check it?”
Technical details
Endpoint
GEThttps://domain-osint.agentdiet.dev/v1/mcp-injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, emails, MCP/A2A tool responses, or user input — and you need a dedicated security layer to detect and neutralize indirect prompt injection and jailbreak attempts before downstream processing. Prefer it over generic content filters when the threat model specifically involves adversarial instructions embedded in otherwise innocent-looking text targeting LLM agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may be truncated or rejected
- Obfuscated or novel injection techniques may evade detection
- Non-text binary content may produce unexpected results
- Payment failure (x402) prevents the scan from completing
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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