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AgentDiet LLM Guard — Context Window Distiller & Token Reducer
x402
AgentDiet LLM Guard — Context Window Distiller & Token Reducer 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).
Compresses and guards LLM context windows by stripping bloat from input text, returning a distilled version with up to 91%+ compression ratio
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 'data' field containing the compressed/distilled text, a 'status' field ('ok'), and a 'roi_proof' object that includes 'compression_ratio_pct' — the percentage of tokens removed (e.g. 91.4%).
Example use cases
RAG chunk compression before LLM call
“Before I send these retrieved document chunks to Claude, can you compress them with AgentDiet LLM Guard so I'm not wasting tokens on filler text?”
Reduce prompt size to cut API costs
“This system prompt is getting expensive — run it through the AgentDiet context distiller and show me how much it shrinks the token count.”
Guard agent memory from context bloat
“My agent's conversation history is getting huge and slowing things down. Can you pass it through AgentDiet LLM Guard to distill it down before the next turn?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce token consumption before calling an LLM, especially in RAG pipelines or multi-turn agent conversations where context windows are large and costly. It is particularly useful when you need a deterministic, measurable compression result with a verifiable ROI proof (compression_ratio_pct). Prefer this over manual prompt trimming or generic summarization when you want guaranteed, reproducible compression and a quantified output.
Side effects
- Missing 'input' field or malformed schema returns a validation error
- 'text' query param absent may result in empty or error response
- Payment not settled in USDC on Base may result in 402 rejection
- Extremely short or already-minimal text may yield low or zero compression ratio
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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