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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from defi-yield.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://defi-yield.agentdiet.dev/v1/prompt-shield)
Output
Returns a structured JSON object indicating whether prompt injection or jailbreak content was detected in the input text, along with sanitized text with malicious instructions removed or flagged, enabling safe downstream processing by AI agents.
Example use cases
Sanitize scraped web content for agent
“I'm about to feed this scraped article HTML to my AI pipeline — can you first scan it for any hidden prompt injection instructions or jailbreak payloads and give me the clean version?”
Screen inbound emails for LLM safety
“Before my AI assistant reads and summarizes this customer email, check it for any embedded prompt-injection attacks or override instructions that could manipulate the model.”
Validate MCP tool response before use
“My agent just got a response back from an external MCP tool — can you run that payload through the prompt-injection firewall to make sure it's not trying to hijack my agent's instructions before I pass it along?”
Technical details
Endpoint
GEThttps://defi-yield.agentdiet.dev/v1/prompt-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent or pipeline needs to safely process untrusted external content — such as scraped web pages, user-submitted text, emails, MCP tool responses, or A2A payloads — before passing them to an LLM. It is specifically designed for the indirect prompt injection threat model (content that tries to hijack agent behavior via malicious instructions hidden in data), making it ideal for agentic workflows that consume third-party or user-supplied content at runtime.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may be rejected or truncated
- False negatives are possible for novel or obfuscated injection techniques
- Service unavailability or HTTP 402 payment failure blocks scanning
- Highly encoded or multi-layer obfuscated injections may evade detection
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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