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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from email-verify.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 attacks, 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://email-verify.agentdiet.dev/v1/prompt-injection-shield)
Output
Returns an object indicating whether prompt injection or jailbreak content was detected in the submitted text, along with sanitized output that has had any adversarial instructions removed or neutralized, enabling safe downstream processing by AI agents.
Example use cases
Protecting agent from poisoned web pages
“I'm building an agent that browses the web and summarizes pages — before feeding any scraped HTML into the LLM, can you scan it for hidden prompt injections or jailbreak instructions embedded in the page content?”
Sanitizing incoming A2A agent messages
“My orchestration agent is receiving messages from an untrusted third-party agent — can you run each incoming payload through the prompt-injection shield to make sure no adversarial instructions are smuggled in before I let my agent act on them?”
Filtering user-submitted text in a chatbot
“Our customer support bot lets users paste in documents for analysis, but I'm worried about prompt injection attacks — can you scan this user-submitted text for any hidden jailbreak attempts before my LLM processes it?”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/prompt-injection-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to process untrusted external content — scraped web pages, user-submitted text, emails, third-party API responses, or A2A messages — and you need a dedicated security layer to detect and strip prompt injection or jailbreak payloads before they reach your LLM. It is especially valuable in agentic pipelines where indirect prompt injection via the environment (websites, tool outputs, external documents) is a known attack vector.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may time out or be truncated
- Obfuscated or novel injection techniques may evade detection
- Non-English or encoded injections may reduce detection accuracy
- Service unavailability returns a 402 or 5xx error if payment or server issues occur
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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