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"

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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	/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

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Get Started

1. Sign up at aisa.one
2. Get your API key
3. Add credits (pay-as-you-go, minimum $5)
4. Set environment variable: export AISA_API_KEY="your-key"
5. Run analysis: python scripts/stock_analyst.py analyze --ticker AAPL

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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

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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