| name | us-stock-analyst |
| description | Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis. Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows. |
| compatibility | Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries curl, python3, environment variables AISA_API_KEY and internet access to api.aisa.one. |
| metadata | {"aisa":{"emoji":"📈","requires":{"bins":["curl","python3"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY","compatibility":"Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries curl, python3, environment variables AISA_API_KEY and internet access to api.aisa.one.","version":"1.0.1"}} |
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
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"
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
curl "https://api.aisa.one/apis/v1/financial/financial_statements/all?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
Analyst Estimates
curl "https://api.aisa.one/apis/v1/financial/analyst/eps?ticker=AAPL&period=annual" \
-H "Authorization: Bearer $AISA_API_KEY"
Insider Trading
curl "https://api.aisa.one/apis/v1/financial/insider/trades?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
Institutional Ownership
curl "https://api.aisa.one/apis/v1/financial/institutional/ownership?ticker=AAPL" \
-H "Authorization: Bearer $AISA_API_KEY"
SEC 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
python3 scripts/stock_analyst.py analyze --ticker AAPL
python3 scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus
python3 scripts/stock_analyst.py analyze --ticker TSLA --depth deep
python3 scripts/stock_analyst.py analyze --ticker MSFT --depth quick
python3 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")
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
About AIsa
AIsa - Unified API infrastructure for AI agents.
Single API Key. Pay-Per-Use. Agent-Native.