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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from preflight.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://preflight.agentdiet.dev/v1/injection-firewall)
Output
Returns a structured object indicating whether prompt injection or jailbreak content was detected, along with sanitized text with malicious instructions removed or flagged, allowing safe downstream consumption by LLMs or agent pipelines.
Example use cases
Sanitize scraped web content for agent pipeline
“I just scraped this webpage to feed into our research agent — can you run it through the injection firewall first to make sure there are no hidden AI instructions embedded in it? Here's the raw HTML.”
Validate MCP tool response before processing
“My agent just got back a response from an external MCP tool. Before I let the LLM act on it, scan it for any prompt injection payloads or jailbreak attempts hiding in the text.”
Filter user-submitted content in multi-agent system
“A user submitted this form input that will be processed by our AI agent — check it for any indirect prompt injection or jailbreak instructions before we pass it downstream.”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — web scrapes, emails, user inputs, third-party MCP/A2A responses — and you need to intercept hidden prompt injection or jailbreak payloads before they reach your LLM. Prefer this over generic content filters when you specifically need AI-instruction-aware scanning that understands LLM attack surfaces, not just traditional XSS or spam filtering.
Side effects
- Missing required 'text' parameter returns validation error
- Empty string input rejected due to minLength:1 constraint
- Payment not provided triggers HTTP 402 response requiring x402 USDC payment
- Very large payloads may time out or exceed input limits
- Novel or highly obfuscated injection techniques may not be detected
- Non-English injection attempts may have lower detection accuracy
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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