AgentDiet MCP Compiler — Context Window Distiller is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Compresses and distills AI agent context windows by compiling MCP-formatted inputs, returning de-bloated output with up to 91% token compression ratio.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing the compressed output, a 'status' field indicating success, and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%) achieved by the distillation process.
GEThttps://rag-diet.agentdiet.dev/v1/mcp-compiler?utm_source=zero.xyzChoose this endpoint when an AI agent needs to reduce its context window size before passing data to a downstream LLM or agent node, especially when token costs are a concern or context limits are at risk of being exceeded. It is particularly useful in RAG pipelines, MCP tool chains, or multi-agent orchestration where intermediate outputs are verbose. Prefer this over manual summarization when deterministic, measurable compression with a provable ratio is required.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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