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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 2026-10-23).
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://shopify-intel.agentdiet.dev/v1/prompt-firewall)
Output
Returns a structured object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads removed or flagged, along with detection metadata indicating whether threats were found.
Example use cases
Sanitize scraped web content for agent
“I'm about to feed this web page's text to my AI agent — can you scan it for hidden prompt injections or jailbreak payloads first and give me the clean version?”
Screen inbound email for injection attacks
“This email came from an unknown sender and my agent is about to summarize it — can you run the body through the prompt injection firewall to make sure it doesn't contain any sneaky instructions trying to hijack my agent?”
Validate MCP tool response before chaining
“My agent just got a response back from an external MCP tool and I want to chain it to the next step — can you check that response for any embedded prompt injections or jailbreak attempts before we proceed?”
Technical details
Endpoint
POSThttps://shopify-intel.agentdiet.dev/v1/prompt-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to process untrusted external content — scraped web pages, inbound emails, third-party API responses, MCP tool outputs, or user-submitted text — and you need to ensure no hidden prompt injection or jailbreak instructions are embedded before your LLM acts on them. Especially valuable in multi-agent (A2A) pipelines where one agent's output feeds into another, creating indirect injection attack surfaces.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely large payloads may time out or be rejected
- Ambiguous or borderline content may produce false positives flagging legitimate instructions
- Service unavailability returns HTTP 402 or 5xx errors
- Highly obfuscated injections using novel encoding techniques may evade detection
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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