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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from serp-extract.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 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://serp-extract.agentdiet.dev/v1/system-prompt-guard)
Output
Returns a JSON object indicating whether the input text contains prompt injection or jailbreak payloads, along with sanitized text stripped of malicious instructions and details about detected threats.
Example use cases
Guarding agent from malicious web pages
“I'm building an agent that reads web pages, but I'm worried attackers might embed hidden instructions in the HTML. Can you scan this scraped page content for prompt injections before my agent processes it?”
Screening MCP tool responses
“My agent just got a response from an external MCP tool and I don't fully trust it. Can you check this tool output for any jailbreak attempts or hidden prompt overrides before I pass it to the next step in my pipeline?”
Sanitizing user-submitted email for AI summarizer
“I have an email from an unknown sender that I want my AI to summarize, but I'm concerned it might contain adversarial instructions trying to hijack the AI. Please scan this email text for prompt injection or jailbreak payloads and give me the sanitized version.”
Technical details
Endpoint
GEThttps://serp-extract.agentdiet.dev/v1/system-prompt-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — web pages, emails, MCP/A2A tool responses, or user-submitted data — and you need a dedicated firewall step to detect and strip hidden prompt injections or jailbreak instructions before that content reaches your LLM. Prefer this over generic text validation when the specific threat model is adversarial LLM manipulation rather than spam or malware.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may be truncated or rejected
- Obfuscated or novel injection techniques may evade detection
- Network timeout on large HTML documents
- Payment/402 failure if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads |
| limit | integer | Maximum number of items to return per page (1-100) |
| cursor | string | Opaque pagination cursor for fetching the next page |
Output
Schema · Response
{
"type": "object"
}Reviews
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