# AgentDiet AI Paper Radar

> 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.

## Facts

- Endpoint: GET https://rag-diet.agentdiet.dev/v1/ai-paper-radar?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentdiet-ai-paper-radar-bf3e088e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mnYm5soAJcZX2rKEupnmv

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agentdiet-ai-paper-radar-bf3e088e
```

Example prompt: Pull up the AI paper radar and show me what the latest research papers are on large language model efficiency — give me a compressed, distilled summary I can actually fit in context.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "POST"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "query": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": {},
  "status": "ok",
  "roi_proof": {
   "compression_ratio_pct": 91.4
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentdiet-ai-paper-radar-bf3e088e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from rag-diet.agentdiet.dev](https://www.zero.xyz/host/rag-diet.agentdiet.dev/llms.txt)