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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from shopify-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 attacks, 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://shopify-intel.agentdiet.dev/v1/rag-poison-shield)
Output
Returns a JSON object containing the analysis of the submitted text, including whether prompt injection or jailbreak payloads were detected and a sanitized version of the input text with adversarial instructions removed or flagged.
Example use cases
RAG pipeline content sanitization
“I'm building a RAG system that ingests web pages — can you scan this HTML I just fetched for any hidden prompt injections or adversarial instructions before I add it to the knowledge base?”
Email-to-agent workflow protection
“My agent reads incoming emails and takes actions on them — can you check this email body for embedded jailbreak attempts or hidden prompt injections before my agent acts on it?”
MCP tool response safety check
“My agent just got back a response from an external MCP tool and I don't fully trust the source — can you run this tool output through the prompt-injection firewall and give me the sanitized version?”
Technical details
Endpoint
GEThttps://shopify-intel.agentdiet.dev/v1/rag-poison-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent or pipeline is consuming untrusted external content — scraped web pages, emails, third-party MCP responses, or A2A tool outputs — and you need a dedicated security layer to detect and strip hidden prompt-injection or jailbreak payloads before they reach your LLM. Prefer this over general-purpose content filtering when the specific threat model is adversarial prompt injection targeting language models.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Very long inputs may be truncated or rejected
- False negatives are possible for novel/obfuscated injection techniques
- Payment required (HTTP 402) if x402 USDC payment header is missing or insufficient
- Service unavailability returns 5xx 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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