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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 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://sec-intel.agentdiet.dev/v1/rag-poison-shield)
Output
Returns a structured object containing the scan result for the submitted text, including whether prompt injection or jailbreak payloads were detected and a sanitized version of the input safe for downstream LLM consumption.
Example use cases
RAG pipeline document sanitization
“I'm building a RAG system that ingests articles from third-party websites. Before I embed this article into my vector store, can you scan it for hidden prompt injections or adversarial instructions that could hijack my agent?”
Incoming email safety screening
“My agent reads customer support emails and drafts replies automatically. Can you check this incoming email for any hidden jailbreak payloads or embedded prompt-injection attacks before my agent processes it?”
MCP tool response validation
“My AI agent just got a response back from an external MCP tool and I want to make sure it's safe before passing it downstream — can you scan it for indirect prompt injection or hidden commands?”
Technical details
Endpoint
GEThttps://sec-intel.agentdiet.dev/v1/rag-poison-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent ingests content from untrusted external sources — scraped web pages, third-party API responses, MCP tool outputs, emails, or user-submitted text — and needs to verify that no hidden adversarial instructions are embedded before passing the content to an LLM. Especially valuable in multi-agent pipelines where one compromised node could cascade malicious instructions.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may exceed request limits or time out
- Obfuscated injections using novel encoding schemes may evade detection
- Non-text binary content may not be processable
- Payment failure (HTTP 402) if x402 micropayment is not properly configured
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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