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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from mesh.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-23).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injections 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://mesh.agentdiet.dev/v1/llm-jailbreak-defense)
Output
Returns a JSON object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads removed or flagged, allowing agents to safely use the cleaned content downstream.
Example use cases
Securing agent web scraping pipeline
“I'm about to feed this scraped webpage content to my reasoning model — can you first check it for any hidden prompt injection attacks or adversarial instructions embedded in the HTML?”
Filtering untrusted email before LLM processing
“This email was submitted by an external user and I need to pass it to my AI assistant — scan it for any jailbreak attempts or embedded instructions that could hijack the model before I do.”
Validating MCP tool response before use
“My agent just got back a response from an external MCP tool — can you run it through the prompt injection firewall to make sure there are no hidden instructions before I let my pipeline act on it?”
Technical details
Endpoint
POSThttps://mesh.agentdiet.dev/v1/llm-jailbreak-defense?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, inbound emails, MCP tool responses, or A2A messages — and you need to sanitize it before passing it to an LLM. It is especially valuable in autonomous agent workflows where adversarial actors could embed hidden instructions in content the agent will read and act on.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely long inputs may be truncated or rejected
- Obfuscated or novel injection techniques may not be detected
- Service unavailable or payment required (402) if USDC balance is insufficient
- Non-text binary content may not be parsed correctly
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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