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AgentDiet AI Paper Radar
x402
AgentDiet AI Paper Radar 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).
Fetches and distills a curated radar of recent AI research papers, compressing context for agent consumption.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with status 'ok', a data payload containing AI paper metadata or distilled paper content, and an roi_proof field showing the compression ratio achieved (e.g. 91.4% compression), confirming how much token bloat was removed.
Example use cases
Daily AI research briefing
“What are the most important new AI papers published recently? Give me a distilled radar so I can stay on top of the field without reading everything myself.”
Topic-specific paper discovery
“Search the AI paper radar for recent publications on retrieval-augmented generation — I want a compressed list of what's new in RAG research.”
Agent knowledge grounding
“Before I respond to this question about diffusion models, pull the latest AI paper radar filtered to diffusion model research so I have up-to-date grounding.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/ai-paper-radar?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs up-to-date AI research paper intelligence in a token-efficient, compressed format — especially when context window real estate is scarce. Ideal for agents that need to ground responses in recent academic work without consuming excessive tokens on raw paper text. Prefer over generic web search when you specifically need curated AI/ML papers with guaranteed compression.
Side effects
- Missing or malformed 'input' object returns validation error
- Invalid HTTP method enum value causes rejection
- Payment not settled in USDC on Base results in 402 response
- Query parameter missing returns default or empty paper set
- Service unavailable returns non-200 status with error body
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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