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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from prompt-guard.agentdiet.dev, paid per call via MPP, $0.005000/call, status unknown (last checked 2026-10-23).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injections and jailbreak attempts, returning sanitized output.
Price / call$0.005000
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://prompt-guard.agentdiet.dev/.well-known/agent-card.json)
Output
Returns a structured object indicating whether prompt injection or jailbreak content was detected, along with sanitized version of the input text stripped of adversarial instructions, enabling safe downstream consumption by AI agents.
Example use cases
Safe web scraping for agent pipelines
“I'm about to feed this scraped article into my summarization agent — can you first scan it for any hidden prompt injections or jailbreak payloads before I pass it along? Here's the raw HTML text from the page.”
Email body security screening
“This inbound email is going to be processed by my AI assistant — please check it for any hidden prompt injection instructions or attempts to hijack the agent before it reads it.”
MCP tool response sanitization
“My agent just got back a response from an external MCP tool and I want to make sure it's clean before trusting it — can you scan this tool output for any embedded adversarial prompt injection attempts?”
Technical details
Endpoint
POSThttps://prompt-guard.agentdiet.dev/.well-known/agent-card.json?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — scraped web pages, user-submitted text, third-party API responses, emails, or MCP/A2A tool outputs — and you need a dedicated firewall layer to detect and strip hidden prompt injection or jailbreak payloads before passing content to an LLM. Prefer it over generic content filters when you specifically need prompt-injection-aware analysis tuned for AI agent threat models.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Extremely long payloads may exceed size limits and return a 413 error
- Obfuscated or encoded injections may evade detection (false negatives)
- Non-text binary content passed as string may produce garbled results
- Payment failure via x402 returns 402 with payment required details
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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