AgentDiet AI Paper Radar is a paid API for AI agents from mcp-gateway.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Fetches a compressed radar feed of recent AI research papers, surfacing high-signal academic findings for agents and researchers.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://mcp-gateway.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a status field, a data object containing AI paper radar results (summaries or listings of recent AI papers matching the query), and an roi_proof object showing the compression ratio (e.g. 91.4%) achieved versus raw source material.
GEThttps://mcp-gateway.agentdiet.dev/v1/ai-paper-radar?utm_source=zero.xyzChoose this endpoint when you need a low-cost ($0.01 USDC), compressed, high-signal radar view of recent AI research papers — especially when you want to avoid manually scraping arXiv or similar sources. It is particularly useful for agents that need to monitor AI literature continuously or search a broad corpus of 31,000+ indexed sources with a single call. Prefer alternatives if you need full paper PDFs, citation graphs, or peer-reviewed filtering that this gateway does not explicitly surface.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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