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AgentDiet LLM Guard — Context Window Distiller & Token Diet
x402
AgentDiet LLM Guard — Context Window Distiller & Token Diet is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).
Scans and compresses LLM context/text input to strip bloat, achieving up to 85-91% token reduction while preserving semantic content
Price / call$0.005
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with status 'ok', a data field containing the distilled/compressed output, and an roi_proof object showing the compression_ratio_pct (e.g. 91.4%), confirming how much token reduction was achieved.
Example use cases
Cut inference costs before GPT-4 call
“This system prompt and conversation history is huge — can you run it through AgentDiet's token diet before we send it to GPT-4? I want to see how much we can compress it and what the compression ratio ends up being.”
Reduce context for agent memory retrieval
“My agent's memory context has ballooned to thousands of tokens. Run it through the LLM Guard to distill it down to the essentials so I'm not burning tokens on every retrieval step.”
Validate prompt efficiency in CI pipeline
“Before we deploy this new system prompt, can you send it through AgentDiet's LLM Guard and confirm the compression ratio? I want to make sure we're not shipping a bloated prompt into production.”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/llm-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, measurable token compression with a verifiable ROI proof (compression_ratio_pct) before sending context to an LLM. Ideal for cost-sensitive agentic pipelines on x402/USDC pay-per-call infrastructure where you want to minimize inference spend per call. Prefer over generic summarization when you need a compression ratio metric rather than a human-readable summary.
Side effects
- Missing required 'input' field returns validation error
- Invalid HTTP method enum value rejected
- Text too short to compress meaningfully may return low or zero compression ratio
- Payment failure via x402/USDC blocks execution
- Empty or null text query param may return error or no-op result
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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