🤖 CoinGlass API Agent Skill

CoinGlass API Skills Hub (AI Agent)

The CoinGlass API now supports AI Agent integration through the CoinGlass Skills Hub.

CoinGlass Skills Hub is an open skill marketplace that enables AI Agents to access CoinGlass’s professional-grade crypto market data and analytics through structured, reusable skill packages.

With Skills Hub, AI Agents can:

Access unified real-time and historical data across derivatives, spot, options, ETF, and on-chain markets
Retrieve advanced datasets such as funding rates, open interest, liquidation data, L2/L3 order book depth, order flow, whale activity, and macro indicators
Automatically map natural language requests to the correct CoinGlass API endpoints
Generate structured insights without manual API integration

Quick Start

Visit the CoinGlass Skills Hub repository:

https://github.com/coinglass-official/coinglass-api-skills

Install in your Agent environment:

npx skills add https://github.com/coinglass-official/coinglass-api-skills

Install Skills (via GitHub ZIP)

Click the Code button in the top-right corner and select Download ZIP.
Upload the extracted files to your target platform or tool.
Follow the platform-specific instructions to complete setup and installation.

Cursor Skills guide:
https://cursor.com/docs/skills

Claude Skills guide:
https://support.claude.com/en/articles/12512180-use-skills-in-claude

When to Use Skills Hub

Use CoinGlass Skills Hub in the following scenarios:

Building AI Agents or copilots
Integrating CoinGlass data into LLM-based workflows
Developing trading assistants or analytics bots
Accelerating integration without handling low-level API logic

If you prefer direct API integration, continue using the endpoint documentation below.

Use with MCP

It is recommended to use this SKILL together with the CoinGlass MCP Service:

SKILL: Handles data understanding, metric interpretation, and analysis logic
MCP: Handles actual API execution, data retrieval, and structured responses

Together, they significantly improve AI performance in CoinGlass data workflows.

Supported Data Types

Derivatives

Market data
Open Interest
Funding Rate
Long/Short Ratio
Liquidation data
Liquidation heatmap
Order Book (L2)
Hyperliquid positions
Taker Buy/Sell Volume
CVD
Capital flow

Spot

Market data
Order Book
Taker Buy/Sell Volume
CVD
Inflow/Outflow

Options

Max Pain
Options-related data
Exchange open interest history
Exchange volume history

On-chain

Exchange transparency / Proof of Reserve
Exchange balances
On-chain transfers
Large transfers
Token unlocks

ETF

Bitcoin ETF
Ethereum ETF
Grayscale
Solana ETF
XRP ETF

Indicators

RSI
MA
EMA
BOLL
MACD
ATR
TD Sequential
Coinbase Premium
AHR999
Puell Multiple
Pi Cycle Top Indicator
Rainbow Chart
Fear & Greed Index
Stablecoin Market Cap
RHODL
NUPL
Altcoin Season Index
BTC Dominance
Futures vs Spot Volume Ratio

Other Data

Economic calendar
Economic data
Macro events
Central bank updates
News
Flash news

Account

Account tier query

Typical Use Cases

This SKILL is suitable for:

Automatically selecting the correct API endpoints based on user queries
Converting natural language into data queries
Building market monitoring dashboards
Generating quantitative analysis logic
Combining multiple data sources for insights
Creating AI agents with market intelligence

Common Workflows

1. Derivatives Market Analysis

Combine:

Open Interest
Funding Rate
Long/Short Ratio
Liquidation data
Liquidation heatmap

Use cases:

Measuring market crowding
Assessing leverage risk
Identifying squeeze conditions
Detecting liquidation clusters

2. Spot Flow Analysis

Combine:

Taker Buy/Sell Volume
Order Book
CVD
Price trends

Use cases:

Identifying spot-driven trends
Analyzing buy/sell pressure
Monitoring liquidity changes

3. ETF Monitoring

Combine:

ETF list
Net assets history
Flow history
Premium/discount history
AUM

Use cases:

Tracking institutional flows
Understanding ETF sentiment
Building ETF dashboards

4. On-chain & Macro Analysis

Combine:

Exchange reserves / transparency
Large transfers
Stablecoin market cap
Fear & Greed Index
BTC dominance

Use cases:

Identifying market cycles
Tracking liquidity conditions
Monitoring on-chain capital movement

5. Indicator-Based Analysis

Combine:

AHR999
Puell Multiple
NUPL
RHODL
Rainbow Chart
Altcoin Season Index

Use cases:

Market valuation analysis
Long-term trend identification
Cycle positioning

Example Prompts

You can ask your Agent:

"Analyze the current BTC liquidation pressure."
"Compare ETH funding rate and open interest changes."
"Is ETF flow currently influencing the market?"
"Are BTC funding rate, open interest, and liquidation data showing divergence at the same time?"
"Based on funding rate, CVD, and order flow, is the BTC market currently driven by aggressive buyers or sellers?"
"How can I build a BTC market monitoring dashboard?"
"Which CoinGlass indicators are suitable for identifying overheated altcoin markets?"
"Is the liquidation distribution over the past 24 hours concentrated in a specific price range? Are there liquidation clusters?"
"Which endpoints should be combined to analyze short-term market structure?"

Target Users

Enterprise and institutional users
AI product developers
Quantitative researchers
Traders
Data analysts
Crypto market research teams
Agent application developers
Internal tool builders

What’s Next

After integration, you can:

Build full data pipelines with MCP
Develop internal analytics tools
Create market monitoring systems
Build AI-powered research assistants
Design reusable analysis workflows