Summary
A comprehensive financial data interface that pulls real-time quotes, historical time series, and market data from TwelveData's API. Handles stocks, forex pairs, and commodities with proper symbol formatting and batch processing for multi-asset queries. The skill documentation is notably thorough, with clear boundaries between TwelveData and CoinGecko usage (traditional markets vs crypto), common mistake prevention, and specific symbol references for commodities like gold (XAU/USD) and oil (WTI/USD). Smart tool routing based on query type, from single quotes to batch comparisons to historical charts. Solid choice for building financial dashboards or market analysis features without dealing with API quirks directly.
Install to Claude Code
npx -y skills add starchild-ai-agent/official-skills --skill twelvedata --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.mdView on GitHub
Twelve Data
Stocks, forex, and commodities price data. Traditional markets only — not for crypto.
Script Usage
This skill ships a single exports.py with all functions. Call it from a
bash block:
python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/twelvedata")
from exports import twelvedata_price, twelvedata_quote, twelvedata_time_series
# Single quote
print(twelvedata_quote(symbol="AAPL"))
# Time series (last 30 daily candles)
series = twelvedata_time_series(symbol="AAPL", interval="1day", outputsize=30)
print(json.dumps(series.get("values", [])[:3], indent=2))
EOF
Available functions in exports.py: twelvedata_price, twelvedata_quote,
twelvedata_time_series, twelvedata_eod, twelvedata_quote_batch,
twelvedata_price_batch, twelvedata_search, twelvedata_stocks,
twelvedata_forex_pairs, twelvedata_exchanges. Read exports.py
directly when you need exact signatures.
Function Reference (signatures)
All functions are in exports.py. Symbols use TwelveData format (e.g. AAPL,
EUR/USD, XAU/USD). Use prepost=True for pre/post-market data on
US stocks.
| Function | Description |
|---|---|
twelvedata_price(symbol, prepost=False) | Current price for one symbol. |
twelvedata_price_batch(symbols, prepost=False) | Prices for multiple symbols (symbols = comma-separated string). |
twelvedata_quote(symbol, prepost=False) | Detailed quote: price, volume, 52w high/low, change %. |
twelvedata_quote_batch(symbols, prepost=False) | Detailed quotes for multiple symbols. |
twelvedata_time_series(symbol, interval='1day', outputsize=30, start_date=None, end_date=None, prepost=False) | OHLCV bars. interval = 1min/5min/15min/30min/1h/2h/4h/1day/1week/1month. |
twelvedata_eod(symbol, date=None, prepost=False) | End-of-day price for a date (default: latest). |
twelvedata_search(query) | Search symbols by name or ticker. |
twelvedata_stocks(exchange=None, country=None) | List supported stocks (filterable). |
twelvedata_forex_pairs() | List all supported forex pairs. |
twelvedata_exchanges() | List supported exchanges. |
Keyword → Tool Lookup
| User asks about | Tool | NOT this |
|---|---|---|
| "AAPL 股价", "current price" (single) | twelvedata_quote | Not twelvedata_price (less detail) |
| "just the price number" | twelvedata_price | — |
| "多只股票对比" (2+ symbols) | twelvedata_quote_batch | Not multiple twelvedata_quote calls |
| "K线", "历史数据", "time series" | twelvedata_time_series | — |
| "收盘价" | twelvedata_eod | — |
| "找股票代码" | twelvedata_search | — |
| "NASDAQ 有哪些股票" | twelvedata_stocks | — |
| "汇率", "EUR/USD" | twelvedata_quote(symbol="EUR/USD") | — |
| "外汇对列表" | twelvedata_forex_pairs | — |
| "金价", "oil price" | twelvedata_quote(symbol="XAU/USD") | Not CoinGecko |
| "BTC price", any crypto | CoinGecko coin_price | ❌ Never twelvedata for crypto |
TwelveData vs CoinGecko — Boundary
| Asset class | Use | Why |
|---|---|---|
| Stocks (AAPL, TSLA) | TwelveData | CoinGecko has no stocks |
| Forex (EUR/USD) | TwelveData | CoinGecko has no forex |
| Commodities (gold, oil) | TwelveData | CoinGecko has no commodities |
| Crypto (BTC, ETH, SOL) | CoinGecko | TwelveData crypto data is limited/unreliable |
MISTAKES — Read Before Calling
❌ MISTAKE 1: Using TwelveData for crypto
User: "BTC 价格"
❌ WRONG: twelvedata_quote(symbol="BTC/USD")
✅ RIGHT: coin_price(ids="bitcoin") ← CoinGecko
❌ MISTAKE 2: Calling quote individually for multiple stocks
User: "AAPL MSFT GOOGL 现在什么价"
❌ WRONG: twelvedata_quote("AAPL"), twelvedata_quote("MSFT"), twelvedata_quote("GOOGL") ← 3 calls
✅ RIGHT: twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL"]) ← 1 call, up to 120 symbols
❌ MISTAKE 3: Forex without slash
❌ WRONG: twelvedata_quote(symbol="EURUSD")
✅ RIGHT: twelvedata_quote(symbol="EUR/USD") ← always slash format
Also: USD/CNH not USDCNH, GBP/JPY not GBPJPY.
❌ MISTAKE 4: Expecting bid/ask from quote
❌ WRONG: "EUR/USD bid: 1.0850, ask: 1.0852" ← quote only returns close
✅ RIGHT: "EUR/USD current price: 1.0851 (close/last price — bid/ask spread not available)"
❌ MISTAKE 5: Wrong interval format
❌ WRONG: twelvedata_time_series(interval="1D") ← uppercase
✅ RIGHT: twelvedata_time_series(interval="1day")
Valid: 1min, 5min, 15min, 30min, 1h, 2h, 4h, 8h, 1day, 1week, 1month
❌ MISTAKE 6: Using full output when compact suffices
User: "AAPL 最近走势"
❌ WRONG: twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="full") ← 5000 candles
✅ RIGHT: twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact") ← 30 candles
Use full only when user explicitly needs deep history.
Symbol Reference
Commodities (verified)
| Asset | Symbol |
|---|---|
| Gold | XAU/USD |
| Silver | XAG/USD |
| Platinum | XPT/USD |
| Palladium | XPD/USD |
| Crude Oil (WTI) | WTI/USD |
| Natural Gas | NG/USD |
Popular Forex Pairs
| Pair | Symbol |
|---|---|
| Euro / USD | EUR/USD |
| GBP / USD | GBP/USD |
| USD / JPY | USD/JPY |
| USD / CNH | USD/CNH |
Use twelvedata_search to discover others.
Pre/Post-Market Data
twelvedata_quote(symbol="AAPL", prepost=true)
twelvedata_time_series(symbol="AAPL", interval="1min", prepost=true)
Returns premarket_change, premarket_change_percent, postmarket_change, postmarket_change_percent when available.
Output Sizes
compact— Last 30 data points (default, faster). Use for "最近走势".full— Up to 5000 data points. Use for deep analysis / charting.
Proxy-Safe Usage
- Agent tool calls: Always prefer
twelvedata_*tools (this skill). - Platform code (
skills/,tools/): usecore.http_client. - Workspace scripts (
bash): Do NOT call TwelveData directly. Use skill tools.
Compound Queries
Stock Comparison
1. twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL", "TSLA"])
2. twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact") ← only for the one user cares most about
Macro Dashboard (stocks + forex + commodities)
1. twelvedata_quote_batch(symbols=["SPY", "QQQ"]) → US indices
2. twelvedata_quote_batch(symbols=["EUR/USD", "USD/JPY"]) → Forex
3. twelvedata_quote(symbol="XAU/USD") → Gold
Featured
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Categories
