US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports

v1.0.1

Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.

⭐ 0· 1.3k·5 current·5 all-time

by@0xjordansg-yolo

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OpenClaw

Benign

high confidence

ℹ

Purpose & Capability

Overall coherent: the skill claims to provide multi-source US stock analysis and all code and SKILL.md call AIsa endpoints and a multi-model LLM gateway at api.aisa.one, matching the declared primary credential AISA_API_KEY. Minor notes: the human-readable description calls out "Bloomberg Data" and "Wall Street Equity Research Reports" — the code does not call any Bloomberg-branded endpoints or require Bloomberg credentials, so this appears to be a marketing/branding claim (AIsa may aggregate third-party sources). Also the SKILL homepage in metadata references openclaw.ai while the runtime endpoints point to aisa.one; this is not necessarily malicious but is a provenance mismatch worth noting.

✓

Instruction Scope

SKILL.md and the Python scripts instruct only to read the single declared env var (AISA_API_KEY), call HTTPS endpoints on api.aisa.one, and write normal output files (reports). There are no instructions to read unrelated local files, other credentials, system config, or to post data to unexpected third-party endpoints. Example scripts do prompt for tickers and save JSON reports to disk — expected behavior.

✓

Install Mechanism

No install spec (instruction-only for the registry) and the listed Python dependency set is small (httpx, asyncio). No external binary downloads or archive extraction are specified. Required system binaries (curl, python3) are consistent with documented examples.

ℹ

Credentials

Only one credential is required (AISA_API_KEY), which is proportional to an API-driven service. Caveat: this single API key grants the skill network access to the AIsa platform (data access, LLM proxy, and usage/billing). Provide a dedicated key with limited credits/quotas and treat it as sensitive; do not reuse high-privilege keys.

✓

Persistence & Privilege

The skill does not request permanent/always-on inclusion and uses normal, user-invocable behavior. It does write report files to the current working directory (expected) but does not attempt to modify other skills or system configurations.

Assessment

This package appears internally consistent and implements what it claims: it uses a single AIsa API key to fetch financial data, social signals, and to call an LLM gateway. Before installing or running: 1) Verify and trust the AIsa provider (https://aisa.one) because all data, prompts, and any sensitive input will be sent to that service. 2) Use a dedicated API key with limited credits/quotas to avoid unexpected charges or broad access. 3) Inspect the included Python scripts (they are plain-text) and run them in a sandbox or non-production environment first — they make outbound HTTPS calls and save reports locally. 4) Be aware the package omits a LICENSE in the release notes (legal/redistribution concern). 5) If you need Bloomberg-sourced raw data or vendor-level guarantees, confirm with the provider — the skill's marketing mentions Bloomberg but the code only calls AIsa endpoints that may aggregate third-party sources. If any of these points are unacceptable, do not install or run with keys containing privileged access.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📈 Clawdis

Binscurl, python3

EnvAISA_API_KEY

Primary envAISA_API_KEY

latestvk977a2v8aq41pjhm1xght9emnn80w5y4

1.3kdownloads

0stars

2versions

Updated 1mo ago

v1.0.1

MIT-0

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	`/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

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