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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from email-verify.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-21).
Scans untrusted text, HTML, 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://email-verify.agentdiet.dev/v1/indirect-injection-guard)
Output
Returns a structured object containing the sanitized version of the submitted text and indicators of any detected prompt injection or jailbreak patterns found within it, allowing agents to safely consume external content.
Example use cases
Guarding agent from poisoned web pages
“I'm about to feed this scraped article into my summarization agent — can you first check it for any hidden prompt injection instructions or jailbreak attempts embedded in the HTML before we proceed?”
Sanitizing inbound email before processing
“This email came from an unknown sender and I want my agent to process it safely — scan the body for any indirect prompt injection or adversarial instructions hidden in the text first.”
Validating MCP tool response before execution
“My agent just got back a response from an external MCP tool — before I let it act on that output, run it through the prompt-injection firewall to make sure nothing malicious is embedded in it.”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/indirect-injection-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent pipeline ingests untrusted external content — scraped web pages, inbound emails, third-party MCP/A2A responses, or user-supplied text — and you need a real-time firewall check before processing. Prefer this over generic content filtering when the threat model is specifically prompt injection and jailbreak payloads targeting LLM agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Very large payloads may be truncated or rejected
- Highly obfuscated injections (e.g. Unicode steganography) may evade detection
- Service unavailability returns HTTP 402 or 5xx errors
- False positives may flag legitimate instructional content as injections
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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