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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 2026-10-23).
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://serp-extract.agentdiet.dev/v1/mcp-injection-firewall)
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 detection metadata indicating whether an attack was found.
Example use cases
Securing web scrape before LLM ingestion
“I just scraped this webpage to summarize it with my agent, but I want to make sure it doesn't contain any hidden prompt injections or jailbreak instructions — can you run it through the firewall first and give me the sanitized version?”
Screening incoming A2A agent messages
“My agent just received this payload from an external A2A tool and I'm worried it might contain adversarial instructions trying to override my agent's behavior — please scan it for hidden prompt injections and return the safe version.”
Filtering email content for AI processing
“I'm piping customer emails into my LLM pipeline to generate replies, but I want to protect against anyone embedding malicious prompt-injection instructions in their emails — can you scan this email body and sanitize it before I feed it to the model?”
Technical details
Endpoint
POSThttps://serp-extract.agentdiet.dev/v1/mcp-injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, user emails, third-party MCP/A2A tool responses, or any text that could contain adversarial prompt-injection payloads — and you need a dedicated firewall layer before passing content to your LLM. Prefer this over generic content filters when you specifically need injection-aware sanitization tailored to agent and MCP/A2A threat models.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely long inputs may timeout or be truncated
- False negatives possible for novel or highly obfuscated injection techniques
- Payment failure (HTTP 402) if x402 USDC balance is insufficient
- Non-text binary content may not be correctly parsed
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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