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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-spy.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 injection and jailbreak attacks, 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://shopify-spy.agentdiet.dev/v1/prompt-shield)
Output
Returns a sanitized version of the input text with hidden prompt injection or jailbreak content removed or flagged, along with detection metadata indicating whether malicious instructions were found.
Example use cases
Sanitizing scraped web pages for agent pipelines
“I'm about to feed this scraped webpage content into my research agent — can you first scan it for any hidden prompt injection or jailbreak payloads so we know it's safe to process?”
Screening incoming emails for AI hijacking
“Before my email-processing agent reads this incoming message, run it through your prompt-injection firewall to make sure nobody has embedded adversarial instructions trying to hijack the agent.”
Validating MCP tool responses before use
“My agent just got a response back from an external MCP tool. Can you check the raw response text for any indirect prompt injection attempts before I let the agent act on it?”
Technical details
Endpoint
POSThttps://shopify-spy.agentdiet.dev/v1/prompt-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline consumes untrusted external content — scraped web pages, user emails, third-party API responses, MCP tool outputs, or A2A agent payloads — and you need to detect and strip hidden prompt injection or jailbreak instructions before they reach your LLM. Prefer this over general-purpose content filters when the specific threat model is adversarial manipulation of agent behavior through indirect injection.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Payment not provided or insufficient triggers an HTTP 402 response requiring x402 USDC payment
- Extremely large payloads may exceed processing limits or timeout
- Ambiguous or novel injection techniques may evade detection (false negatives)
- Non-UTF8 or malformed encoding in text input may cause parse 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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