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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 text.
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/indirect-injection-guard)
Output
Returns a structured object containing the sanitized version of the input text with hidden prompt injection attempts and jailbreak payloads removed or flagged, along with detection metadata indicating whether threats were found.
Example use cases
Sanitizing scraped web content for agent pipelines
“I just scraped this web page to feed into my research agent, but I'm worried it might contain hidden prompt injection instructions — can you scan it and give me the clean version before passing it on?”
Guarding agent inbox from malicious emails
“Before my agent reads and acts on this incoming email, run it through the prompt injection firewall and tell me if there's anything suspicious hiding in the text.”
Validating MCP tool responses before LLM ingestion
“My agent just got a response back from an external MCP tool — can you check that response for any embedded jailbreak payloads or hidden instructions before I let my LLM see it?”
Technical details
Endpoint
GEThttps://company-enrich.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, third-party API responses, MCP tool outputs, A2A payloads, or user-submitted emails — and you need a dedicated security layer to strip hidden prompt injections and jailbreak payloads before those inputs reach your LLM. Prefer it over generic content filtering when you specifically need protection against adversarial instruction injection targeting AI agents.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long inputs may time out or be truncated
- False negatives possible for novel or obfuscated injection techniques not yet in the detection ruleset
- Non-text binary content may not be parseable
- HTTP 402 payment required if USDC micropayment is not included
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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