AgentDiet Preprint Digest — 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 a query's relevant context (e.g. preprint or document content) into a token-reduced digest, returning a high-compression-ratio summary with ROI proof.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
A JSON object containing a compressed data digest ('data'), a success status ('status': 'ok'), and an ROI proof object showing the achieved compression ratio percentage (e.g. 'compression_ratio_pct': 91.4), confirming how much token reduction was achieved.
GEThttps://rag-diet.agentdiet.dev/v1/preprint-digest?utm_source=zero.xyzChoose this endpoint when an AI agent needs to reduce the token footprint of preprint or document content before passing it to an LLM, especially when operating under tight context window constraints or cost budgets. It is well-suited for agentic pipelines that need deterministic, verifiable compression with an ROI proof. Prefer it over generic summarization APIs when you need a quantified compression ratio and x402/USDC micropayment-compatible access.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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