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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from domain-osint.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-23).
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://domain-osint.agentdiet.dev/v1/prompt-shield)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected in the input, along with sanitized text that has been stripped of adversarial instructions, enabling safe downstream use by the agent.
Example use cases
Sanitize scraped web content for agent
“I'm about to feed this webpage's text into my agent pipeline — can you scan it for any hidden prompt injection or jailbreak instructions first and return a clean version I can safely use?”
Shield agent from malicious email content
“This email was forwarded by a user and I need to pass its body to my AI assistant — please check it for any embedded prompt injection payloads or adversarial instructions before I do.”
Validate MCP tool response before chaining
“My agent just got a response back from an external MCP tool and I want to make sure it doesn't contain any hidden instructions trying to hijack the agent — can you scan the response text and tell me if it's safe?”
Technical details
Endpoint
POSThttps://domain-osint.agentdiet.dev/v1/prompt-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent pipeline ingests content from untrusted external sources — scraped web pages, user-submitted emails, third-party MCP tool responses, or A2A agent payloads — and you need a dedicated security layer to detect and neutralize hidden prompt injection or jailbreak attempts before that content reaches your LLM. Prefer this over general-purpose text analysis endpoints when the specific threat model is adversarial instruction injection targeting AI agents.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely large payloads may be truncated or rejected
- False negatives possible for novel obfuscated injection techniques
- Payment failure (HTTP 402) if x402 micropayment is not properly handled
- Timeout for very large HTML documents
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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