US Stock Analyst 📈
Professional equity analysis powered by AIsa's unified API platform.
One API key. Complete market intelligence. AI-powered insights.
🔥 What Can You Do?
Investment Research
"Analyze NVDA: financial metrics, analyst estimates, insider trades,
news sentiment, and AI-powered valuation"
Portfolio Monitoring
"Track my portfolio (AAPL, MSFT, GOOGL): daily updates on metrics,
news, and sentiment changes"
Earnings Analysis
"Full Tesla Q4 earnings analysis: results vs estimates, guidance,
price reaction, analyst updates"
Competitor Analysis
"Compare AMD vs NVDA: financials, growth, valuation, market sentiment"
Screening & Discovery
"Find tech stocks with P/E < 30, revenue growth > 20%,
and positive insider activity"
Quick Start
export AISA_API_KEY="your-key"
Core Capabilities
📊 Financial Data (MarketPulse APIs)
Real-time Financial Metrics
curl "https://api.aisa.one/apis/v1/financial/financial-metrics/snapshot?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
Returns: Market cap, P/E ratio, revenue, EPS, profit margin, ROE, debt/equity, and more.
Historical Stock Prices
# Daily prices for last 30 days
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-01-01&end_date=2025-01-31&interval=day&interval_multiplier=1" \
-H "Authorization: Bearer $AISA_API_KEY"
# 5-minute intraday data
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-02-07&end_date=2025-02-07&interval=minute&interval_multiplier=5" \
-H "Authorization: Bearer $AISA_API_KEY"
Financial Statements
# All statements (income, balance, cash flow)
curl "https://api.aisa.one/apis/v1/financial/financial_statements/all?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
Analyst Estimates
# EPS forecasts and ratings
curl "https://api.aisa.one/apis/v1/financial/analyst/eps?ticker=AAPL&period=annual" \
-H "Authorization: Bearer $AISA_API_KEY"
Insider Trading
# Track insider buy/sell activity
curl "https://api.aisa.one/apis/v1/financial/insider/trades?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
Institutional Ownership
# See who owns the stock
curl "https://api.aisa.one/apis/v1/financial/institutional/ownership?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
SEC Filings
# Access 10-K, 10-Q, 8-K filings
curl "https://api.aisa.one/apis/v1/financial/sec/filings?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
📰 News & Research
Company News
curl "https://api.aisa.one/apis/v1/financial/news?ticker=AAPL&limit=10" \
-H "Authorization: Bearer $AISA_API_KEY"
Web Search (News & Articles)
curl -X POST "https://api.aisa.one/apis/v1/scholar/search/web?query=AAPL+stock+analysis&max_num_results=10" \
-H "Authorization: Bearer $AISA_API_KEY"
Academic Research
curl -X POST "https://api.aisa.one/apis/v1/scholar/search/scholar?query=semiconductor+industry+analysis&max_num_results=5" \
-H "Authorization: Bearer $AISA_API_KEY"
🐦 Social Sentiment
Twitter Search
curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=\$AAPL&queryType=Latest" \
-H "Authorization: Bearer $AISA_API_KEY"
📺 Video Content
YouTube Search (Earnings Calls, Analysis)
curl "https://api.aisa.one/apis/v1/youtube/search?engine=youtube&q=AAPL+earnings+call&gl=us&hl=en" \
-H "Authorization: Bearer $AISA_API_KEY"
🤖 AI Analysis (Multi-Model)
LLM Gateway (OpenAI Compatible)
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "You are a professional equity analyst."
},
{
"role": "user",
"content": "Analyze Apple stock investment prospects"
}
],
"temperature": 0.3,
"max_tokens": 2000
}'
Supported Models:
- GPT-4, GPT-4 Turbo (OpenAI)
- Claude 3 Opus, Sonnet, Haiku (Anthropic)
- Gemini 1.5 Pro, Ultra (Google)
- Qwen Max, Plus (Alibaba)
- DeepSeek V2 (DeepSeek)
- Grok (xAI)
Python Client
# Basic analysis
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker AAPL
# Standard analysis with multiple models
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus
# Deep analysis (all data sources)
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker TSLA --depth deep
# Quick screening
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker MSFT --depth quick
# Save report to file
python3 {baseDir}/scripts/stock_analyst.py analyze --ticker GOOGL --output report.json
Analysis Depth Options
| Mode | Time | Cost | Data Sources |
|---|---|---|---|
| quick | ~10s | $0.01-0.02 | Metrics, News, Twitter, Basic AI |
| standard | ~20s | $0.02-0.05 | + Analyst Estimates, Insider Trades, YouTube |
| deep | ~30s | $0.05-0.10 | + Statements, Institutional, SEC, Research |
API Reference
| Category | Endpoint | Method | Cost |
|---|---|---|---|
| Financial Metrics | /financial/financial-metrics/snapshot | GET | $0.002 |
| Stock Prices | /financial/prices | GET | $0.001 |
| News | /financial/news | GET | $0.001 |
| Statements | /financial/financial_statements/* | GET | $0.002 |
| Analyst Estimates | /financial/analyst/eps | GET | $0.002 |
| Insider Trades | /financial/insider/trades | GET | $0.001 |
| Institutional | /financial/institutional/ownership | GET | $0.001 |
| SEC Filings | /financial/sec/filings | GET | $0.001 |
| Web Search | /scholar/search/web | POST | $0.001 |
| Scholar Search | /scholar/search/scholar | POST | $0.002 |
/twitter/tweet/advanced_search | GET | $0.0004 | |
| YouTube | /youtube/search | GET | $0.002 |
| LLM | /v1/chat/completions | POST | Token-based |
Every response includes usage.cost and usage.credits_remaining.
Example Output
{
"ticker": "NVDA",
"analysis_date": "2025-02-07T10:30:00Z",
"investment_summary": "NVIDIA maintains dominant position in AI chip market with strong data center revenue growth. Recent Blackwell launch positions company for continued expansion...",
"key_metrics": {
"market_cap": 1780500000000,
"pe_ratio": 68.5,
"revenue": 60922000000,
"revenue_growth": 1.26,
"profit_margin": 0.489,
"roe": 1.152
},
"sentiment_analysis": {
"sentiment": "bullish",
"confidence": "high",
"key_themes": ["AI dominance", "Data center growth", "Blackwell launch"],
"summary": "Overwhelmingly positive sentiment following Q4 earnings beat"
},
"valuation": {
"assessment": "fairly_valued",
"price_target_12m": 850.00,
"reasoning": "Premium valuation justified by AI market leadership and strong growth trajectory"
},
"data_sources": {
"Financial Metrics": "Available",
"Stock News": 10,
"Analyst Estimates": "Available",
"Insider Trades": 15,
"Twitter": "Available",
"YouTube": 5
}
}
Pricing
Analysis Costs:
- Quick: $0.01-0.02 per stock
- Standard: $0.02-0.05 per stock
- Deep: $0.05-0.10 per stock
Comparison:
- Bloomberg Terminal: $2,000/month
- FactSet: $1,000/month
- Traditional Analyst Report: $50-500 each
- AIsa Stock Analyst: $0.02-0.10 each ✨
Cost Breakdown:
Standard Analysis ($0.02-0.05):
├── Financial Metrics: $0.002
├── Stock Prices: $0.001
├── Company News: $0.001
├── Analyst Estimates: $0.002
├── Insider Trades: $0.001
├── Twitter: $0.0004
├── YouTube: $0.002
└── LLM Analysis: $0.01-0.04
Use Cases
1. Investment Research
Screen and analyze stocks before investing:
analyst.analyze_stock("NVDA", depth="deep")
2. Portfolio Monitoring
Daily updates on your holdings:
for ticker in ["AAPL", "MSFT", "GOOGL"]:
report = analyst.analyze_stock(ticker, depth="quick")
3. Earnings Season
Comprehensive earnings analysis:
analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reaction
4. Insider Tracking
Monitor insider activity:
report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])
5. Sentiment Analysis
Track market perception:
report = analyst.analyze_stock("COIN", depth="standard")
print(report['sentiment_analysis'])
Compliance
Disclaimer (Always Included):
This analysis is for informational purposes only and should not be considered personalized investment advice. Please conduct your own research and consult with licensed financial advisors before making investment decisions.
Regulatory Compliance:
- SEC Rule 15c2-1 (not investment advice)
- FINRA regulations (informational only)
- GDPR data privacy compliant
Get Started
- Sign up at aisa.one
- Get your API key
- Add credits (pay-as-you-go, minimum $5)
- Set environment variable:
export AISA_API_KEY="your-key" - Run analysis:
python scripts/stock_analyst.py analyze --ticker AAPL
Full API Documentation
- API Reference: https://aisa.mintlify.app/api-reference/introduction
- Complete Docs: https://aisa.mintlify.app/llms.txt
- Support: support@aisa.one
- Discord: https://discord.gg/aisa
About AIsa
AIsa - Unified API infrastructure for AI agents.
Single API Key. Pay-Per-Use. Agent-Native.
- Website: https://aisa.one
- Documentation: https://aisa.mintlify.app