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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, $0.005/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 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://prompt-guard.agentdiet.dev/v1/indirect-injection-guard)
Output
A JSON object containing the scan result for the submitted text, including detection of hidden prompt injections or jailbreak payloads and a sanitized version of the input text safe for downstream LLM consumption.
Example use cases
Guard agent from malicious webpage
“I'm about to feed you the contents of a user-submitted URL — before you process it, scan the raw HTML for any hidden prompt injections or jailbreak payloads and only use the sanitized text.”
Sanitize incoming email before LLM summarization
“This email came from an unknown sender — can you run the body text through the prompt injection firewall to make sure it's not trying to hijack you before you summarize it for me?”
Validate MCP tool response safety
“The MCP tool just returned a response from an external server — scan that payload for any embedded prompt injection attempts before you act on the instructions inside it.”
Technical details
Endpoint
POSThttps://prompt-guard.agentdiet.dev/v1/indirect-injection-guard?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 emails, third-party API responses, MCP tool outputs, or A2A agent payloads — and you need to sanitize them before passing them to an LLM to prevent indirect prompt injection or jailbreak attacks. Prefer it over manual filtering when you need a dedicated, always-on firewall specifically trained to detect adversarial LLM manipulation patterns.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely large payloads may exceed size limits or time out
- Obfuscated or novel injection techniques may evade detection
- Non-text binary content may not be correctly parsed
- Payment failure (402) if x402 micropayment is not properly handled
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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