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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from whale-momentum.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://whale-momentum.agentdiet.dev/v1/llm-guard)
Output
Returns a JSON object containing the scan result for the submitted text, including whether prompt injection or jailbreak content was detected and a sanitized version of the input safe for use in downstream LLM pipelines.
Example use cases
Agent pipeline web scraping safety
“I'm building an agent that fetches web pages and summarizes them — can you scan this HTML I just scraped for any hidden prompt injection instructions before passing it to the summarizer?”
Email-to-agent intake screening
“This email was submitted by an external user and is about to be processed by my AI assistant — please check it for embedded jailbreak or prompt injection payloads and return the safe version.”
Third-party MCP tool output guard
“My agent just got a response back from an external MCP tool — can you run it through the prompt injection firewall to make sure there's no adversarial instruction hidden in the output before I let the LLM act on it?”
Technical details
Endpoint
GEThttps://whale-momentum.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent must process untrusted text from external sources — scraped web pages, user-submitted emails, third-party MCP/A2A tool responses — before feeding it to an LLM. It is purpose-built for indirect prompt injection and jailbreak detection in agentic pipelines, making it the right choice over generic content moderation APIs when the threat model is adversarial LLM manipulation rather than harmful content categories.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long inputs may time out or be truncated
- False negatives: highly obfuscated injections may evade detection
- False positives: legitimate instructions resembling injection syntax may be flagged
- Non-text binary content may produce unexpected results
- Service unavailability returns HTTP 402 or 5xx errors
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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