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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from token-intel.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://token-intel.agentdiet.dev/v1/mcp-injection-firewall)
Output
Returns a structured 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 malicious content was found.
Example use cases
Guard agent from malicious website content
“I need you to scan this HTML I just scraped from that third-party site before you summarize it — check it for any hidden prompt injections or jailbreak instructions embedded in the text.”
Screen incoming emails for injected instructions
“Can you run this email body through the injection firewall before your email-agent processes it? I don't trust the sender and want to make sure there are no adversarial prompt manipulation attempts hiding in it.”
Validate MCP tool response before execution
“Before my agent acts on that MCP tool response, pass the raw output through the prompt-injection scanner so we can strip out any hidden instructions an attacker might have embedded in it.”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/mcp-injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to process untrusted external content — web pages, emails, MCP tool responses, or A2A payloads — and you need to detect and strip hidden prompt injections or jailbreak attempts before they can influence agent behavior. Ideal for multi-agent pipelines where intermediary tool outputs cannot be fully trusted, or when scraping adversarial web content. Prefer this over generic content filters when you specifically need LLM-aware injection detection rather than simple spam or malware scanning.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long input text may exceed processing limits
- Ambiguous or benign-looking injections may evade detection (false negatives)
- Network timeout for very large payloads
- Rate limiting or payment failure via x402 if USDC balance is insufficient
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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