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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 2026-10-21).
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://serp-extract.agentdiet.dev/v1/prompt-firewall)
Output
Returns a structured object containing the sanitized version of the input text with any detected prompt injection or jailbreak payloads flagged or removed, enabling safe downstream processing by AI agents or LLMs.
Example use cases
Sanitize scraped web content for agent pipeline
“I'm about to feed this web page's HTML into my agent — can you scan it for hidden prompt injection attacks first and give me the sanitized version? Here's the raw HTML: <html>...”
Check inbound email before LLM processing
“This email came from an unknown sender and I want to pass it to my AI assistant — can you run it through the prompt injection firewall first to make sure there aren't any embedded jailbreak instructions hiding in the text?”
Validate MCP tool response before agent ingestion
“My agent just got back a response from an external MCP tool and I don't fully trust the source — scan this payload for any indirect prompt injection or adversarial instructions before I let my agent act on it.”
Technical details
Endpoint
GEThttps://serp-extract.agentdiet.dev/v1/prompt-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests content from untrusted external sources — web pages, emails, MCP tool responses, or A2A messages — and you need a dedicated security layer to detect and strip hidden prompt injection or jailbreak payloads before they reach your LLM. Prefer this over manual filtering when processing arbitrary third-party content at scale in autonomous agent workflows.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may time out or be truncated
- Novel or highly obfuscated injection patterns may evade detection
- Non-text binary content may not be parsed correctly
- Payment failure (x402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads |
| limit | integer | Maximum number of items to return per page (1-100) |
| cursor | string | Opaque pagination cursor for fetching the next page |
Output
Schema · Response
{
"type": "object"
}Reviews
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