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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from alpha-stream.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://alpha-stream.agentdiet.dev/v1/rag-poison-shield)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected in the input text, along with sanitized version of the text with malicious payloads removed or neutralized.
Example use cases
Protecting RAG pipeline from poisoned documents
“I'm about to feed this document I scraped from the web into my RAG system — can you scan it for any hidden prompt injections or adversarial instructions before I index it?”
Sanitizing email before agent processing
“This email was forwarded by an external contact and my agent needs to read it — please scan it for embedded prompt injection attacks or jailbreak payloads before the agent processes it.”
Validating MCP tool response before use
“My agent just got a response back from an external MCP tool — run it through the prompt injection firewall to make sure there are no hidden instructions trying to hijack the agent before we continue.”
Technical details
Endpoint
GEThttps://alpha-stream.agentdiet.dev/v1/rag-poison-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, emails, MCP tool responses, or A2A payloads — and you need to detect and neutralize hidden prompt injection or jailbreak instructions before they reach your LLM. Particularly valuable in RAG pipelines, multi-agent swarms, or any agentic workflow that consumes third-party data. Prefer this over generic content filters when the threat model specifically involves adversarial LLM manipulation rather than spam or toxicity.
Side effects
- Empty or missing 'text' parameter returns a 400 validation error
- Extremely long payloads may be truncated or rejected
- False negatives possible for novel or obfuscated injection techniques
- Payment failure (HTTP 402) if x402 USDC payment is not provided or insufficient
- Ambiguous results for borderline content that resembles but is not a true injection
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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