AgentDiet AI Paper Radar is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Fetches and distills AI research paper intelligence, returning compressed summaries with token-reduction proof for agent context windows.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing distilled AI paper content, a 'status' field confirming success, and an 'roi_proof' object showing the compression ratio achieved (e.g. 91.4% token reduction), demonstrating how much context was saved relative to raw input.
GEThttps://status.agentdiet.dev/v1/ai-paper-radar?utm_source=zero.xyzChoose this endpoint when you need token-efficient AI research paper intelligence delivered to an agent's context window, especially when context budget is tight and you want provable compression ratios. Useful for agents that need to stay current on AI research without blowing up their token budget. Not ideal for full-text paper retrieval or citation management.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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