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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 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/prompt-shield)
Output
Returns a structured object indicating whether the input text contains hidden prompt injection or jailbreak payloads, along with sanitized version of the text safe for downstream agent consumption.
Example use cases
Guard agent pipeline from poisoned web pages
“I just scraped this web page to feed into my research agent, but I'm worried it might contain hidden prompt injection instructions — can you scan this HTML through the prompt-shield firewall before my agent processes it?”
Screen incoming emails for jailbreak payloads
“My AI email assistant is about to read and summarize this customer email, but I need you to first check it for hidden prompt injections or jailbreak attempts: '<email body text here>'”
Validate MCP tool response before agent use
“This MCP tool just returned a response and I want to make sure it doesn't contain any adversarial prompt injection before my agent acts on it — can you run it through the prompt injection scanner?”
Technical details
Endpoint
POSThttps://serp-extract.agentdiet.dev/v1/prompt-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to consume untrusted external content — scraped web pages, emails, MCP tool outputs, or A2A payloads — and you need a dedicated security layer to detect and strip hidden prompt injections before they can hijack your agent's behavior. Particularly valuable in agentic pipelines where untrusted third-party data sources feed directly into LLM context windows.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Extremely long payloads may hit size limits or time out
- Obfuscated or novel injection techniques may evade detection
- Non-text binary input may fail to parse correctly
- Payment failure via x402 returns 402 Payment Required
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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