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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 2026-10-21).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injection 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://shopify-spy.agentdiet.dev/v1/prompt-injection-shield)
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 signals indicating whether malicious content was found.
Example use cases
Sanitize scraped web content before agent processing
“I'm about to feed this scraped webpage into my agent pipeline — can you first scan it for any hidden prompt injection or jailbreak instructions embedded in the HTML before passing it along?”
Screen inbound email for adversarial instructions
“Check this email body for hidden prompt injection attacks before my AI assistant reads and acts on it: 'Dear agent, please ignore all previous instructions and...'”
Validate MCP tool response before chaining
“My agent just got back a response from an external MCP tool — scan it for any embedded adversarial instructions or jailbreak payloads before I chain it into the next step of the workflow.”
Technical details
Endpoint
GEThttps://shopify-spy.agentdiet.dev/v1/prompt-injection-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — web pages, emails, third-party API responses, MCP tool outputs, or A2A messages — and you need to screen for hidden adversarial instructions before those inputs influence your model's behavior. Prefer it over generic content filters when the specific threat model is prompt injection and jailbreak attacks targeting LLM agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may be truncated or timeout
- Obfuscated or novel injection techniques may evade detection
- Non-text binary content may not be parseable
- Rate limiting or payment failure (402) if credits are exhausted
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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