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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from sec-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 injection 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://sec-intel.agentdiet.dev/v1/prompt-injection-shield)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected in the input, along with sanitized text stripped of adversarial instructions, enabling safe downstream processing by AI agents.
Example use cases
Protecting agent from malicious websites
“I need you to scan this HTML I just scraped from an untrusted site — check it for any hidden prompt injections or jailbreak payloads before you summarize it for me.”
Validating MCP tool output safety
“Before you feed that MCP tool response into the next step of the workflow, run it through the prompt injection shield to make sure it doesn't contain any adversarial instructions.”
Screening user-submitted email content
“A user just forwarded us this email and I want to process it with our AI — can you first scan the email body for any hidden prompt injections or jailbreak attempts so we know it's safe?”
Technical details
Endpoint
GEThttps://sec-intel.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, user-submitted emails, third-party API responses, MCP tool outputs, or A2A messages — and you need a dedicated firewall check for indirect prompt injections and jailbreak payloads before that content reaches the LLM context. Prefer this over generic content moderation when the specific threat model is adversarial AI manipulation rather than hate speech or policy violations.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large text inputs may be truncated or rejected
- False negatives possible for novel or obfuscated injection techniques
- Service unavailable if payment (x402) is not properly handled
- Non-UTF-8 or binary content may cause parsing 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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