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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from serp-extract.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://serp-extract.agentdiet.dev/v1/system-prompt-guard)
Output
Returns an object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads identified and removed or flagged, along with detection metadata indicating whether a threat was found.
Example use cases
Securing web-scraped content for agent pipelines
“I just scraped this webpage to feed into my AI research agent, but I'm worried it might contain hidden prompt injection instructions — can you scan it and return only the safe, sanitized text?”
Filtering untrusted email before LLM summarization
“Before I send this email to my summarizer agent, please check it for any embedded jailbreak or prompt injection payloads and strip them out — here's the raw email body.”
Validating MCP tool responses in agent workflows
“My agent just got a response back from an external MCP tool and I don't want it to blindly trust the output — can you run it through the prompt-injection firewall and tell me if anything suspicious was detected?”
Technical details
Endpoint
POSThttps://serp-extract.agentdiet.dev/v1/system-prompt-guard?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent pipeline must process text from untrusted external sources — web scrapes, user emails, third-party MCP tool responses, or A2A messages — and you need a dedicated firewall step to prevent prompt hijacking or jailbreaks before the content reaches a downstream LLM. Prefer this over general content moderation APIs when the threat model is specifically indirect prompt injection targeting AI agent behavior rather than harmful user-generated content.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely long payloads may exceed size limits or timeout
- False negatives: novel injection techniques not yet in detection rules may pass through
- False positives: legitimate instructional text may be flagged as injection
- Payment/402 failure if USDC balance is insufficient
- Network 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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