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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from company-enrich.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 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://company-enrich.agentdiet.dev/v1/injection-guard)
Output
Returns a structured object containing the sanitized version of the input text with any detected prompt injection or jailbreak content neutralized, along with detection metadata indicating whether threats were found.
Example use cases
Guarding agent from malicious web scrapes
“I just scraped this webpage to feed into my research agent, but I'm worried it might contain hidden prompt injection instructions — can you scan it for injection attacks and return the cleaned text before I pass it along?”
Sanitizing third-party email before LLM processing
“This customer email is about to be processed by my AI support agent. Can you run it through the prompt injection firewall first to make sure there are no embedded jailbreak instructions hiding in it?”
Validating MCP tool response before pipeline use
“My agent just got back a response from an external MCP tool and I don't fully trust the source — can you check this payload for any indirect prompt injection or manipulation attempts before I let my pipeline act on it?”
Technical details
Endpoint
GEThttps://company-enrich.agentdiet.dev/v1/injection-guard?utm_source=zero.xyzWhen to prefer
Use this endpoint when your AI agent or pipeline is about to consume untrusted external content — scraped web pages, user-submitted text, third-party API responses, MCP tool outputs, or A2A agent messages — and you need to strip hidden prompt injections or jailbreak payloads before they reach your LLM. Prefer this over generic input validation when the threat model specifically involves adversarial text crafted to manipulate AI behavior rather than standard data quality issues.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long payloads may exceed request size limits
- False negatives possible for novel or obfuscated injection techniques
- Service unavailability returns 402 or 5xx if payment or server issues occur
- Non-text binary content may not be correctly parsed or scanned
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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