메뉴
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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Generate images and videos with AIsa. Four image models (Google Gemini 3 Pro Image, Alibaba Wan 2.7 image + image-pro, ByteDance Seedream) and four Wan video variants (wan2.6/2.7 × t2v/i2v). One API key; the client routes each model to the correct endpoint automatically.
Query real-time and historical cryptocurrency market data via CoinGecko — simple prices, coin details, historical charts, OHLC candles, token prices by contract address, market-cap rankings, exchange data and tickers, categories, trending searches, and crypto news. Use for crypto research, price tracking, on-chain token lookup, portfolio analysis, and market-cap screening.
Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting. Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.
Query real-time and historical financial data for equities—prices, news, financial statements, metrics, analyst estimates, insider and institutional activity, SEC filings, earnings press releases, segmented revenues, stock screening, and macro interest rates.
Find and analyze arbitrage opportunities across prediction markets like Polymarket and Kalshi.
Prediction markets data - Polymarket, Kalshi markets, prices, positions, and trades
| 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"}} |
Professional equity analysis powered by AIsa's unified API platform.
One API key. Complete market intelligence. AI-powered insights.
"Analyze NVDA: financial metrics, analyst estimates, insider trades,
news sentiment, and AI-powered valuation"
"Track my portfolio (AAPL, MSFT, GOOGL): daily updates on metrics,
news, and sentiment changes"
"Full Tesla Q4 earnings analysis: results vs estimates, guidance,
price reaction, analyst updates"
"Compare AMD vs NVDA: financials, growth, valuation, market sentiment"
"Find tech stocks with P/E < 30, revenue growth > 20%,
and positive insider activity"
export AISA_API_KEY="your-key"
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"
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"
Twitter Search
curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=\$AAPL&queryType=Latest" \
-H "Authorization: Bearer $AISA_API_KEY"
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"
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:
# Basic analysis
python3 scripts/stock_analyst.py analyze --ticker AAPL
# Standard analysis with multiple models
python3 scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus
# Deep analysis (all data sources)
python3 scripts/stock_analyst.py analyze --ticker TSLA --depth deep
# Quick screening
python3 scripts/stock_analyst.py analyze --ticker MSFT --depth quick
# Save report to file
python3 scripts/stock_analyst.py analyze --ticker GOOGL --output report.json
| 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 |
| 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.
{
"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
}
}
Analysis Costs:
Comparison:
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
Screen and analyze stocks before investing:
analyst.analyze_stock("NVDA", depth="deep")
Daily updates on your holdings:
for ticker in ["AAPL", "MSFT", "GOOGL"]:
report = analyst.analyze_stock(ticker, depth="quick")
Comprehensive earnings analysis:
analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reaction
Monitor insider activity:
report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])
Track market perception:
report = analyst.analyze_stock("COIN", depth="standard")
print(report['sentiment_analysis'])
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:
export AISA_API_KEY="your-key"python scripts/stock_analyst.py analyze --ticker AAPLAIsa - Unified API infrastructure for AI agents.
Single API Key. Pay-Per-Use. Agent-Native.