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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from prompt-guard.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 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://prompt-guard.agentdiet.dev/v1/mcp-injection-firewall)
Output
Returns a JSON object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads removed or flagged, along with detection signals indicating whether malicious content was found.
Example use cases
Securing RAG pipeline from poisoned pages
“Before my agent processes this scraped webpage, check it for any embedded prompt injections or hidden instructions that could hijack my LLM — here's the raw HTML content.”
Validating inbound MCP tool responses
“My agent just received this MCP tool response from an external server — can you scan it for any jailbreak payloads or adversarial instructions hidden inside before we act on it?”
Filtering malicious email before agent ingestion
“I'm about to feed this email body into my AI assistant to summarize and reply — first scan it for any indirect prompt injection attempts or hidden commands trying to override my agent's behavior.”
Technical details
Endpoint
POSThttps://prompt-guard.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 tool responses, or A2A payloads — and you need to sanitize it before passing it to an LLM. Ideal for agentic workflows where indirect prompt injection is a real attack vector. Prefer this over general-purpose content filters when the specific threat model is adversarial LLM instruction injection rather than spam or hate speech.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Extremely large payloads may time out or be truncated
- Obfuscated or novel injection techniques may evade detection
- Payment failure via x402 returns 402 Payment Required
- Non-text binary content may not be properly parsed
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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