market-data

Q: How do I install market-data?

Run npx skills add https://github.com/rebyteai-template/rebyte-skills --skill market-data in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/market-data/ (personal) or .claude/skills/market-data/ (project).

by rebyteai-templateBusiness & Finance

Access US stock market data including price bars, news with sentiment, and company details via eng0 data API. Use when user asks for stock prices, OHLCV data, price history, stock news, or company information. Triggers include "stock price", "price history", "OHLCV", "stock news", "company info", "market data", "ticker data". Do NOT use for SEC filings (use sec-edgar-skill instead).

Installs: 380
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/rebyteai-template/rebyte-skills --skill market-data

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads market-data automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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)

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:

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

FAQ

What does the market-data skill do?

How do I install market-data?

Run npx skills add https://github.com/rebyteai-template/rebyte-skills --skill market-data in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/market-data/ (personal) or .claude/skills/market-data/ (project).

Which AI agents can use market-data?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is market-data safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains market-data?

It is published by rebyteai-template in rebyteai-template/rebyte-skills. It has 380 recorded installs.