AgentDiet LLM Benchmark Papers Lookup 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).
Retrieves distilled, token-compressed benchmark paper data for large language models via a paid per-call API settling in USDC on Base.
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 benchmark paper information, a 'status' field confirming success ('ok'), and an 'roi_proof' object showing the compression ratio achieved (e.g., 91.4% compression ratio), demonstrating the token savings from the distillation process.
GEThttps://rag-diet.agentdiet.dev/v1/llm-benchmark-papers?utm_source=zero.xyzChoose this endpoint when you need token-compressed, distilled LLM benchmark paper data and want to minimize context window usage. It is especially useful for AI agents operating under tight token budgets that need research-grade benchmark information without bloated raw text. The built-in compression (up to 91%+) makes it superior to raw web scraping or uncompressed document retrieval for agents with constrained context windows.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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