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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from alpha-stream.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 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://alpha-stream.agentdiet.dev/v1/indirect-injection-guard)
Output
Returns an object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads removed or flagged, enabling the calling agent to safely consume the cleaned content.
Example use cases
Guarding agent against malicious web pages
“I need you to scan this web page text I just scraped before you summarize it — check it for any hidden prompt injections or adversarial instructions that could hijack your behavior.”
Sanitizing MCP tool responses
“Before acting on this MCP tool response, run it through the injection firewall and only use the sanitized version — I don't trust the source.”
Screening emails for jailbreak attempts
“This email came from an unknown sender and my agent is about to process it — can you check the email body for any embedded prompt injection or jailbreak instructions first?”
Technical details
Endpoint
GEThttps://alpha-stream.agentdiet.dev/v1/indirect-injection-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to process content from untrusted external sources — scraped web pages, third-party API responses, MCP tool outputs, A2A payloads, or user-submitted emails — and you need a dedicated firewall check for indirect prompt injection or jailbreak payloads before feeding that content into your LLM pipeline. Prefer it over generic content filters when the threat model is specifically adversarial LLM manipulation rather than spam or toxicity.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long payloads may be truncated or rejected
- False negatives possible if novel injection techniques are not in the detection model
- Payment failure via x402 returns 402 status blocking the scan
- Network timeout if the scanning backend is under load
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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