Gelt AI API

import geltai

client = geltai.Client(api_key="your_api_key")

# Academic research
papers = client.academic.search(
    query="quantum computing applications",
    filters={"year": {"gte": 2020}},
    limit=20
)

for paper in papers:
    print(f"{paper.title} ({paper.year})")
    print(f"Citations: {paper.citation_count}")
    print("---")

const GeltAI = require('geltai');

const client = new GeltAI({
  apiKey: 'your_api_key'
});

// Stock analysis
async function analyzeStock() {
  const analysis = await client.stocks.analyze({
    symbol: 'AAPL',
    metrics: ['fundamentals', 'sentiment', 'technicals']
  });
  
  console.log(analysis.recommendation);
  console.log(analysis.priceTarget);
}

curl -X POST https://api.geltai.com/v1/academic/search \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "machine learning healthcare",
    "limit": 10,
    "filters": {
      "year": {"gte": 2022}
    }
  }'