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AgentDiet RAG Poison Shield
x402
AgentDiet RAG Poison Shield is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).
Detects and filters prompt injection and RAG poisoning attacks from text before it enters an agent's context window
Price / call$0.005
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a status field ('ok' or otherwise), a data payload containing the analysis result, and an roi_proof object showing the compression_ratio_pct (e.g. 91.4%) demonstrating how much bloat was removed alongside the safety verdict.
Example use cases
RAG pipeline injection screening
“I'm building a RAG app that pulls from external websites — can you scan this retrieved chunk for any hidden prompt injection or adversarial instructions before I put it in the context window?”
Agent tool output sanitization
“My agent just got back a response from a third-party API and I'm worried it might contain embedded jailbreak instructions — can you run it through the poison shield to verify it's safe before proceeding?”
Document corpus security audit
“I'm loading user-uploaded PDFs into my vector database and want to make sure none of them contain adversarial payloads that could hijack my AI — can you screen this document text for RAG poisoning attacks?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/rag-poison-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, per-call security check on text entering an agent's context window or RAG pipeline — especially when sourcing content from untrusted external websites, user uploads, or third-party APIs. Prefer it over generic content moderation APIs when the threat model is specifically prompt injection, context hijacking, or adversarial RAG poisoning rather than general harmful content.
Side effects
- Missing required 'input' object returns validation error
- Invalid HTTP method enum value causes rejection
- Text parameter absent results in empty or default scan
- Payment not settled in USDC on Base causes 402 response
- Malformed JSON input schema causes 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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