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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from preflight.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 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://preflight.agentdiet.dev/v1/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 threat detection signals indicating whether malicious content was found.
Example use cases
Safe web scraping for agent pipelines
“I'm about to feed this scraped webpage content into my agent — can you run it through the prompt injection firewall first to check for any hidden instructions trying to hijack the agent?”
Email body security check before LLM processing
“Before my AI assistant reads and summarizes this incoming email, scan the email body for any indirect prompt injection attacks or jailbreak attempts embedded in it.”
MCP tool response sanitization
“My agent just got back a response from an external MCP tool — can you run that payload through the injection firewall to strip out any malicious prompt injection content before I pass it to the next step?”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent pipeline processes untrusted external content — scraped web pages, user-submitted text, external API responses, MCP tool outputs, or A2A payloads — before passing that content to an LLM. It is especially valuable in multi-agent architectures where one agent's output feeds into another, creating indirect prompt injection attack surfaces. Prefer this over generic content filters when the specific threat model is prompt hijacking or jailbreaking of AI agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long inputs may be truncated or rejected
- False negatives: sophisticated obfuscated injections may not be detected
- False positives: legitimate instructions in benign text may be flagged as injections
- Service unavailability returns HTTP 402 or 5xx if payment or infrastructure fails
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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