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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 content
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/indirect-injection-guard)
Output
Returns a JSON object indicating whether the input contained prompt injection or jailbreak payloads, along with sanitized text with malicious instructions removed or flagged, enabling safe downstream LLM ingestion.
Example use cases
Shield agent from malicious web content
“I just fetched this article from an untrusted site to feed into my research agent — can you scan it for any hidden prompt injection instructions before I pass it along? Here's the full HTML text.”
Guard email pipeline from jailbreak attacks
“My agent reads customer emails automatically — can you check this incoming email body for embedded jailbreak attempts or hidden instructions trying to hijack the agent before it processes it?”
Sanitize MCP tool response before LLM ingestion
“I got back this MCP tool response from a third-party server and I want to make sure it doesn't contain any injected instructions trying to manipulate my LLM — can you screen it and return a clean version?”
Technical details
Endpoint
GEThttps://serp-extract.agentdiet.dev/v1/indirect-injection-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted third-party content — web pages, emails, MCP/A2A responses, search results — and you need a dedicated firewall layer to detect and strip indirect prompt injection or jailbreak payloads before they reach your LLM. Prefer this over generic content filters when you specifically need agent-aware threat detection tuned for adversarial LLM manipulation patterns.
Side effects
- Empty or missing 'text' parameter returns validation error
- Extremely long text payloads may exceed processing limits
- Sophisticated or novel injection patterns may evade detection
- Response schema is loosely typed (generic object), so field names may vary
- Payment via x402/USDC required — insufficient funds causes 402 rejection
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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