Paper Search

// 1) Search
{
  "method": "tools/call",
  "params": {
    "name": "paper_search",
    "arguments": { "query": "momentum crash", "limit": 5 }
  }
}

// 2) Read targeted sections from the top hit
{
  "method": "tools/call",
  "params": {
    "name": "paper_read",
    "arguments": {
      "paperCardId": "card_abc123",
      "sections": ["introduction", "methodology"]
    }
  }
}

import os, requests

base = "https://api.llmquantdata.com"
headers = {
    "Authorization": f"Bearer {os.environ['LLMQUANT_API_KEY']}",
    "Content-Type": "application/json",
}

# 1) Search
hits = requests.post(
    f"{base}/api/paper/search",
    headers=headers,
    json={"query": "momentum crash", "limit": 5},
).json()["data"]

# 2) Read targeted sections from the top hit
top = hits[0]
paper = requests.post(
    f"{base}/api/paper/read",
    headers=headers,
    json={
        "paperCardId": top["paperCardId"],
        "sections": ["introduction", "methodology"],
    },
).json()["data"]

for section in paper["sections"]:
    print(f"## {section['title']} ({section['char_count']} chars)")
    print(section["content"][:500])

# 1) Search
curl -X POST "https://api.llmquantdata.com/api/paper/search" \
  -H "Authorization: Bearer $LLMQUANT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "momentum crash", "limit": 5}'

# 2) Read targeted sections
curl -X POST "https://api.llmquantdata.com/api/paper/read" \
  -H "Authorization: Bearer $LLMQUANT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"paperCardId": "card_abc123", "sections": ["introduction", "methodology"]}'