market-data

Market Data API

Access US stock market data through eng0's data proxy service.

Base URL

https://api.eng0.ai/api/data

Data Coverage

• All US stock tickers
• 5 years of historical data
• 100% market coverage
• 15-minute delayed quotes

---

Available Endpoints

Endpoint	Purpose
POST /stocks/bars	OHLCV price bars (1min to 1week intervals)
POST /stocks/news	News articles with sentiment analysis
POST /stocks/details	Company information and market cap
GET /schema	API schema discovery

---

Get Price Bars

Retrieve OHLCV (Open, High, Low, Close, Volume) bars for a stock.

curl -X POST https://api.eng0.ai/api/data/stocks/bars \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "AAPL",
    "interval": "1day",
    "from": "2024-12-01",
    "to": "2024-12-31"
  }'

Parameters:

Name	Type	Required	Description
ticker	string	Yes	Stock symbol (e.g., AAPL, MSFT)
interval	string	Yes	1min, 5min, 15min, 30min, 1hour, 4hour, 1day, 1week
from	date	Yes	Start date (YYYY-MM-DD)
to	date	Yes	End date (YYYY-MM-DD)

Response:

{
  "ticker": "AAPL",
  "count": 21,
  "bars": [
    {
      "t": "2024-12-02T05:00:00.000Z",
      "o": 237.27,
      "h": 240.79,
      "l": 237.16,
      "c": 239.59,
      "v": 48137103,
      "vw": 239.4992,
      "n": 469685
    }
  ]
}

Response Fields:

Field	Description
t	Timestamp (ISO 8601 UTC)
o	Open price
h	High price
l	Low price
c	Close price
v	Volume
vw	Volume-weighted average price
n	Number of transactions

---

Get News

Retrieve financial news articles with sentiment analysis.

curl -X POST https://api.eng0.ai/api/data/stocks/news \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "TSLA",
    "limit": 5
  }'

Parameters:

Name	Type	Required	Description
ticker	string	Yes	Stock symbol
limit	number	No	Max articles (default: 10, max: 100)

Response:

{
  "count": 5,
  "articles": [
    {
      "title": "Tesla Stock Rises on Strong Delivery Numbers",
      "description": "Tesla reported better-than-expected Q4 deliveries...",
      "author": "John Smith",
      "publisher": "Reuters",
      "publishedAt": "2025-01-06T14:30:00Z",
      "url": "https://...",
      "tickers": ["TSLA"],
      "keywords": ["electric vehicles", "deliveries"],
      "sentiment": "positive",
      "sentimentReasoning": "Article discusses strong delivery numbers and positive market reaction."
    }
  ]
}

Sentiment Values: positive, negative, neutral

---

Get Company Details

Retrieve company information for a stock ticker.

curl -X POST https://api.eng0.ai/api/data/stocks/details \
  -H "Content-Type: application/json" \
  -d '{"ticker": "AAPL"}'

Parameters:

Name	Type	Required	Description
ticker	string	Yes	Stock symbol

Response:

{
  "ticker": "AAPL",
  "name": "Apple Inc.",
  "description": "Apple Inc. designs, manufactures, and markets smartphones...",
  "market": "stocks",
  "primaryExchange": "XNAS",
  "type": "CS",
  "currencyName": "usd",
  "marketCap": 3949128102780,
  "listDate": "1980-12-12",
  "sicDescription": "ELECTRONIC COMPUTERS",
  "homepage": "https://www.apple.com",
  "totalEmployees": 164000
}

---

Common Workflows

Get Last 30 Days of Daily Prices

curl -X POST https://api.eng0.ai/api/data/stocks/bars \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "NVDA",
    "interval": "1day",
    "from": "2024-12-07",
    "to": "2025-01-07"
  }'

Get Intraday Data (1-minute bars)

curl -X POST https://api.eng0.ai/api/data/stocks/bars \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "AAPL",
    "interval": "1min",
    "from": "2025-01-06",
    "to": "2025-01-06"
  }'

Get Weekly Bars for 1 Year

curl -X POST https://api.eng0.ai/api/data/stocks/bars \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "MSFT",
    "interval": "1week",
    "from": "2024-01-01",
    "to": "2025-01-01"
  }'

Get Recent News with Sentiment

curl -X POST https://api.eng0.ai/api/data/stocks/news \
  -H "Content-Type: application/json" \
  -d '{
    "ticker": "GOOGL",
    "limit": 20
  }'

---

Using with Python

import requests

BASE_URL = "https://api.eng0.ai/api/data"

def get_price_bars(ticker: str, interval: str, from_date: str, to_date: str):
    """Get OHLCV price bars for a stock."""
    response = requests.post(
        f"{BASE_URL}/stocks/bars",
        json={
            "ticker": ticker,
            "interval": interval,
            "from": from_date,
            "to": to_date
        }
    )
    return response.json()

def get_news(ticker: str, limit: int = 10):
    """Get news articles with sentiment for a stock."""
    response = requests.post(
        f"{BASE_URL}/stocks/news",
        json={"ticker": ticker, "limit": limit}
    )
    return response.json()

def get_company_details(ticker: str):
    """Get company information."""
    response = requests.post(
        f"{BASE_URL}/stocks/details",
        json={"ticker": ticker}
    )
    return response.json()

# Examples
bars = get_price_bars("AAPL", "1day", "2024-12-01", "2024-12-31")
print(f"Got {bars['count']} bars for {bars['ticker']}")

news = get_news("TSLA", limit=5)
for article in news['articles']:
    print(f"[{article['sentiment']}] {article['title']}")

details = get_company_details("NVDA")
print(f"{details['name']}: Market Cap ${details['marketCap']:,}")

---

Error Handling

Invalid Parameters:

{
  "error": "Invalid parameters",
  "message": "Missing required parameter: ticker"
}

Unknown Operation:

{
  "error": "Unknown operation",
  "message": "Operation 'invalid' not found. Available: bars, news, details"
}

---

Important Notes

• Tickers must be UPPERCASE (e.g., AAPL, not aapl)
• All timestamps are UTC (ISO 8601 format)
• Price data is 15-minute delayed
• Historical data available for 5 years
• No rate limits (use responsibly)

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Combining with Other Skills

This skill provides market data. Combine with:

• sec-edgar-skill (EdgarTools) → SEC filings, financial statements
• financial-deep-research → Full research workflow and reports

Example combined workflow:

1. Get company details and recent price bars (this skill)
2. Get SEC filings and financial statements (sec-edgar-skill)
3. Generate comprehensive research report (financial-deep-research)