# GmGnAPI
**Professional Python client library for GMGN.ai WebSocket API**
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/psf/black)
[](https://discord.gg/ub46R9Dk)
GmGnAPI provides real-time access to Solana blockchain data through GMGN.ai's WebSocket API with advanced features including intelligent filtering, data export capabilities, monitoring statistics, and automated alerting.
## 🔗 Quick Links
- 📚 **[Documentation](https://yourusername.github.io/GmGnAPI/)** - Complete guides and API reference
- 💬 **[Discord Community](https://discord.gg/ub46R9Dk)** - Get help and discuss strategies
- 🌐 **[Create GMGN Account](https://gmgn.ai/?ref=9dLKvFyE&chain=sol)** - Sign up with our referral link to support the project
## 🚀 Features
### Core Functionality
- **Real-time WebSocket connection** to GMGN.ai API
- **Multiple data channels**: New pools, token launches, pair updates, chain statistics, social info, wallet trades, limit orders
- **Automatic reconnection** with exponential backoff
- **Comprehensive error handling** and logging
- **Type-safe** with full Pydantic model validation
- **Async/await** support for modern Python applications
### Advanced Features
- **🔍 Intelligent Filtering**: Advanced token filtering by market cap, liquidity, volume, holder count, exchange, and risk scores
- **📊 Data Export**: Export to JSON, CSV, or SQLite database with automatic file rotation and compression
- **📈 Monitoring & Statistics**: Real-time connection metrics, message counts, unique token/pool tracking
- **🚨 Alert System**: Configurable alerts for market conditions with rate limiting and webhook support
- **⚡ Rate Limiting**: Configurable message processing limits to prevent overwhelming
- **🔄 Queue Management**: Buffered message processing with configurable queue sizes
## 📦 Installation
```bash
pip install gmgnapi
```
### Development Installation
```bash
git clone https://github.com/yourusername/gmgnapi.git
cd gmgnapi
pip install -e .
```
## 🔑 Account Setup
### 1. Create GMGN Account
Create your GMGN account using our referral link to support the project:
👉 **[Create GMGN Account](https://gmgn.ai/?ref=9dLKvFyE&chain=sol)**
### 2. Get API Token
1. Log in to your GMGN account
2. Navigate to Account Settings
3. Generate an API token
4. Copy and securely store your token
### 3. Join Community
Join our Discord server for support and updates:
👉 **[Discord Community](https://discord.gg/ub46R9Dk)**
## 🎯 Quick Start
### Basic Usage
```python
import asyncio
from gmgnapi import GmGnClient
async def on_new_pool(pool_info):
if pool_info.pools:
pool = pool_info.pools[0]
token_info = pool.bti
if token_info:
print(f"New pool: {token_info.s} ({token_info.n})")
async def main():
client = GmGnClient()
client.on_new_pool(on_new_pool)
await client.connect()
await client.subscribe_new_pools()
# Keep running
while True:
await asyncio.sleep(1)
asyncio.run(main())
```
### Advanced Usage with Filtering and Export
```python
import asyncio
from decimal import Decimal
from gmgnapi import (
GmGnEnhancedClient,
TokenFilter,
DataExportConfig,
AlertConfig
)
async def main():
# Configure advanced token filtering
token_filter = TokenFilter(
min_market_cap=Decimal("50000"), # $50k minimum market cap
min_liquidity=Decimal("10000"), # $10k minimum liquidity
min_volume_24h=Decimal("5000"), # $5k minimum daily volume
min_holder_count=10, # 10+ holders
exchanges=["raydium", "orca"], # Specific exchanges only
exclude_symbols=["SCAM", "TEST"], # Exclude potential scams
max_risk_score=0.7, # Maximum risk threshold
)
# Configure data export
export_config = DataExportConfig(
enabled=True,
format="json", # "json", "csv", or "database"
file_path="./gmgn_data", # Export directory
max_file_size_mb=50, # File rotation at 50MB
rotation_interval_hours=6, # Rotate every 6 hours
compress=True, # Enable compression
)
# Configure alerts
alert_config = AlertConfig(
enabled=True,
webhook_url="https://hooks.slack.com/...", # Optional webhook
conditions=[
{
"type": "high_value_pool",
"min_market_cap": 100000,
"description": "Alert for pools > $100k"
}
],
rate_limit_seconds=300, # Max 1 alert per 5 minutes
)
# Initialize enhanced client
client = GmGnEnhancedClient(
token_filter=token_filter,
export_config=export_config,
alert_config=alert_config,
rate_limit=100, # Max 100 messages/second
)
# Event handlers
async def on_new_pool(pool_info):
if pool_info.pools:
pool = pool_info.pools[0]
token_info = pool.bti
if token_info:
print(f"🔥 Filtered pool: {token_info.s} - ${token_info.mc:,}")
async def on_volume_spike(pair_data):
if pair_data.volume_24h_usd > Decimal("500000"):
print(f"📈 Volume spike: ${pair_data.volume_24h_usd:,}")
client.on_new_pool(on_new_pool)
client.on_pair_update(on_volume_spike)
# Connect and subscribe
await client.connect()
await client.subscribe_all_channels()
# Monitor and get statistics
while True:
await asyncio.sleep(60)
stats = client.get_monitoring_stats()
print(f"📊 Stats: {stats.total_messages:,} messages, "
f"{stats.unique_tokens_seen} tokens, "
f"{stats.unique_pools_seen} pools")
asyncio.run(main())
```
## 📋 Available Channels
### Public Channels
- **`new_pools`**: New liquidity pool creation events
- **`pair_update`**: Trading pair price and volume updates
- **`token_launch`**: New token launch notifications
- **`chain_stats`**: Blockchain statistics and metrics
### Authenticated Channels (require access token)
- **`token_social`**: Token social media and community information
- **`wallet_trades`**: Wallet trading activity and transactions
- **`limit_orders`**: Limit order updates and fills
## 🔧 Configuration Options
### TokenFilter
Filter tokens based on various criteria:
```python
TokenFilter(
min_market_cap=Decimal("10000"), # Minimum market cap in USD
max_market_cap=Decimal("1000000"), # Maximum market cap in USD
min_liquidity=Decimal("5000"), # Minimum liquidity in USD
min_volume_24h=Decimal("1000"), # Minimum 24h volume in USD
min_holder_count=10, # Minimum number of holders
exchanges=["raydium", "orca"], # Allowed exchanges
symbols=["SOL", "USDC"], # Specific symbols to include
exclude_symbols=["SCAM", "TEST"], # Symbols to exclude
max_risk_score=0.5, # Maximum risk score (0-1)
)
```
### DataExportConfig
Configure data export and storage:
```python
DataExportConfig(
enabled=True, # Enable/disable export
format="json", # "json", "csv", or "database"
file_path="./exports", # Export directory
max_file_size_mb=100, # File size limit for rotation
rotation_interval_hours=24, # Time-based rotation
compress=True, # Enable compression
include_metadata=True, # Include extra metadata
)
```
### AlertConfig
Set up alerts and notifications:
```python
AlertConfig(
enabled=True, # Enable/disable alerts
webhook_url="https://hooks.slack.com/...", # Webhook URL for notifications
email="alerts@example.com", # Email for alerts
conditions=[ # Custom alert conditions
{
"type": "new_pool",
"min_liquidity": 100000,
"description": "High liquidity pool alert"
}
],
rate_limit_seconds=300, # Minimum time between alerts
)
```
## 📊 Monitoring and Statistics
Get real-time monitoring statistics:
```python
stats = client.get_monitoring_stats()
print(f"Total messages: {stats.total_messages:,}")
print(f"Messages per minute: {stats.messages_per_minute:.1f}")
print(f"Unique tokens seen: {stats.unique_tokens_seen}")
print(f"Unique pools seen: {stats.unique_pools_seen}")
print(f"Connection uptime: {stats.connection_uptime:.0f}s")
print(f"Error count: {stats.error_count}")
```
## 📁 Data Export Formats
### JSON Export
```json
{
"timestamp": "2024-01-15T10:30:00",
"channel": "new_pools",
"data": {
"c": "sol",
"p": [{
"a": "pool_address_here",
"ba": "base_token_address",
"qa": "quote_token_address",
"bti": {
"s": "TOKEN",
"n": "Token Name",
"mc": 150000
}
}]
}
}
```
### CSV Export
```csv
timestamp,channel,data
2024-01-15T10:30:00,new_pools,"{""c"":""sol"",""p"":[...]}"
```
### SQLite Database
Tables: `messages`, `new_pools`, `trades` with structured data storage.
## 🚨 Error Handling
GmGnAPI provides comprehensive error handling:
```python
from gmgnapi import (
GmGnAPIError,
ConnectionError,
AuthenticationError,
SubscriptionError,
MessageParsingError,
)
try:
await client.connect()
await client.subscribe_wallet_trades()
except AuthenticationError:
print("Invalid access token")
except ConnectionError:
print("Failed to connect to WebSocket")
except SubscriptionError as e:
print(f"Subscription failed: {e}")
except GmGnAPIError as e:
print(f"API error: {e}")
```
## 📚 Examples
The `examples/` directory contains comprehensive examples:
- **`basic_usage.py`**: Simple connection and data streaming
- **`advanced_monitoring.py`**: Full-featured monitoring with statistics
- **`data_export.py`**: Data export in multiple formats
- **`filtering_alerts.py`**: Advanced filtering and alerting
- **`multiple_channels.py`**: Subscribe to multiple data channels
## 🧪 Testing
Run the test suite:
```bash
# Install test dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Run with coverage
pytest --cov=gmgnapi
# Run specific test file
pytest tests/test_client.py
```
## 🛠️ Development
### Code Quality
```bash
# Format code
black src/ tests/ examples/
# Sort imports
isort src/ tests/ examples/
# Type checking
mypy src/
# Linting
flake8 src/ tests/
```
### Building Documentation
```bash
# Install docs dependencies
pip install -e ".[docs]"
# Build docs
cd docs/
make html
```
## 🤝 Contributing
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes
4. Add tests for new functionality
5. Ensure all tests pass (`pytest`)
6. Format your code (`black`, `isort`)
7. Commit your changes (`git commit -m 'Add amazing feature'`)
8. Push to the branch (`git push origin feature/amazing-feature`)
9. Open a Pull Request
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- [GMGN.ai](https://gmgn.ai/) for providing the WebSocket API
- [Pydantic](https://pydantic-docs.helpmanual.io/) for data validation
- [websockets](https://websockets.readthedocs.io/) for WebSocket client implementation
## 🔗 Links
- **Documentation**: [https://gmgnapi.readthedocs.io/](https://gmgnapi.readthedocs.io/)
- **PyPI Package**: [https://pypi.org/project/gmgnapi/](https://pypi.org/project/gmgnapi/)
- **GitHub Issues**: [https://github.com/yourusername/gmgnapi/issues](https://github.com/yourusername/gmgnapi/issues)
- **GMGN.ai**: [https://gmgn.ai/](https://gmgn.ai/)
---
**⚡ Built for speed, designed for reliability, crafted for the Solana ecosystem.**
Raw data
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"description": "# GmGnAPI\n\n**Professional Python client library for GMGN.ai WebSocket API**\n\n[](https://www.python.org/downloads/)\n[](https://opensource.org/licenses/MIT)\n[](https://github.com/psf/black)\n[](https://discord.gg/ub46R9Dk)\n\nGmGnAPI provides real-time access to Solana blockchain data through GMGN.ai's WebSocket API with advanced features including intelligent filtering, data export capabilities, monitoring statistics, and automated alerting.\n\n## \ud83d\udd17 Quick Links\n\n- \ud83d\udcda **[Documentation](https://yourusername.github.io/GmGnAPI/)** - Complete guides and API reference\n- \ud83d\udcac **[Discord Community](https://discord.gg/ub46R9Dk)** - Get help and discuss strategies\n- \ud83c\udf10 **[Create GMGN Account](https://gmgn.ai/?ref=9dLKvFyE&chain=sol)** - Sign up with our referral link to support the project\n\n## \ud83d\ude80 Features\n\n### Core Functionality\n- **Real-time WebSocket connection** to GMGN.ai API\n- **Multiple data channels**: New pools, token launches, pair updates, chain statistics, social info, wallet trades, limit orders\n- **Automatic reconnection** with exponential backoff\n- **Comprehensive error handling** and logging\n- **Type-safe** with full Pydantic model validation\n- **Async/await** support for modern Python applications\n\n### Advanced Features\n- **\ud83d\udd0d Intelligent Filtering**: Advanced token filtering by market cap, liquidity, volume, holder count, exchange, and risk scores\n- **\ud83d\udcca Data Export**: Export to JSON, CSV, or SQLite database with automatic file rotation and compression\n- **\ud83d\udcc8 Monitoring & Statistics**: Real-time connection metrics, message counts, unique token/pool tracking\n- **\ud83d\udea8 Alert System**: Configurable alerts for market conditions with rate limiting and webhook support\n- **\u26a1 Rate Limiting**: Configurable message processing limits to prevent overwhelming\n- **\ud83d\udd04 Queue Management**: Buffered message processing with configurable queue sizes\n\n## \ud83d\udce6 Installation\n\n```bash\npip install gmgnapi\n```\n\n### Development Installation\n\n```bash\ngit clone https://github.com/yourusername/gmgnapi.git\ncd gmgnapi\npip install -e .\n```\n\n## \ud83d\udd11 Account Setup\n\n### 1. Create GMGN Account\nCreate your GMGN account using our referral link to support the project:\n\ud83d\udc49 **[Create GMGN Account](https://gmgn.ai/?ref=9dLKvFyE&chain=sol)**\n\n### 2. Get API Token\n1. Log in to your GMGN account\n2. Navigate to Account Settings\n3. Generate an API token\n4. Copy and securely store your token\n\n### 3. Join Community\nJoin our Discord server for support and updates:\n\ud83d\udc49 **[Discord Community](https://discord.gg/ub46R9Dk)**\n\n## \ud83c\udfaf Quick Start\n\n### Basic Usage\n\n```python\nimport asyncio\nfrom gmgnapi import GmGnClient\n\nasync def on_new_pool(pool_info):\n if pool_info.pools:\n pool = pool_info.pools[0]\n token_info = pool.bti\n if token_info:\n print(f\"New pool: {token_info.s} ({token_info.n})\")\n\nasync def main():\n client = GmGnClient()\n client.on_new_pool(on_new_pool)\n \n await client.connect()\n await client.subscribe_new_pools()\n \n # Keep running\n while True:\n await asyncio.sleep(1)\n\nasyncio.run(main())\n```\n\n### Advanced Usage with Filtering and Export\n\n```python\nimport asyncio\nfrom decimal import Decimal\nfrom gmgnapi import (\n GmGnEnhancedClient, \n TokenFilter, \n DataExportConfig,\n AlertConfig\n)\n\nasync def main():\n # Configure advanced token filtering\n token_filter = TokenFilter(\n min_market_cap=Decimal(\"50000\"), # $50k minimum market cap\n min_liquidity=Decimal(\"10000\"), # $10k minimum liquidity\n min_volume_24h=Decimal(\"5000\"), # $5k minimum daily volume\n min_holder_count=10, # 10+ holders\n exchanges=[\"raydium\", \"orca\"], # Specific exchanges only\n exclude_symbols=[\"SCAM\", \"TEST\"], # Exclude potential scams\n max_risk_score=0.7, # Maximum risk threshold\n )\n \n # Configure data export\n export_config = DataExportConfig(\n enabled=True,\n format=\"json\", # \"json\", \"csv\", or \"database\"\n file_path=\"./gmgn_data\", # Export directory\n max_file_size_mb=50, # File rotation at 50MB\n rotation_interval_hours=6, # Rotate every 6 hours\n compress=True, # Enable compression\n )\n \n # Configure alerts\n alert_config = AlertConfig(\n enabled=True,\n webhook_url=\"https://hooks.slack.com/...\", # Optional webhook\n conditions=[\n {\n \"type\": \"high_value_pool\",\n \"min_market_cap\": 100000,\n \"description\": \"Alert for pools > $100k\"\n }\n ],\n rate_limit_seconds=300, # Max 1 alert per 5 minutes\n )\n \n # Initialize enhanced client\n client = GmGnEnhancedClient(\n token_filter=token_filter,\n export_config=export_config,\n alert_config=alert_config,\n rate_limit=100, # Max 100 messages/second\n )\n \n # Event handlers\n async def on_new_pool(pool_info):\n if pool_info.pools:\n pool = pool_info.pools[0]\n token_info = pool.bti\n if token_info:\n print(f\"\ud83d\udd25 Filtered pool: {token_info.s} - ${token_info.mc:,}\")\n \n async def on_volume_spike(pair_data):\n if pair_data.volume_24h_usd > Decimal(\"500000\"):\n print(f\"\ud83d\udcc8 Volume spike: ${pair_data.volume_24h_usd:,}\")\n \n client.on_new_pool(on_new_pool)\n client.on_pair_update(on_volume_spike)\n \n # Connect and subscribe\n await client.connect()\n await client.subscribe_all_channels()\n \n # Monitor and get statistics\n while True:\n await asyncio.sleep(60)\n \n stats = client.get_monitoring_stats()\n print(f\"\ud83d\udcca Stats: {stats.total_messages:,} messages, \"\n f\"{stats.unique_tokens_seen} tokens, \"\n f\"{stats.unique_pools_seen} pools\")\n\nasyncio.run(main())\n```\n\n## \ud83d\udccb Available Channels\n\n### Public Channels\n- **`new_pools`**: New liquidity pool creation events\n- **`pair_update`**: Trading pair price and volume updates \n- **`token_launch`**: New token launch notifications\n- **`chain_stats`**: Blockchain statistics and metrics\n\n### Authenticated Channels (require access token)\n- **`token_social`**: Token social media and community information\n- **`wallet_trades`**: Wallet trading activity and transactions\n- **`limit_orders`**: Limit order updates and fills\n\n## \ud83d\udd27 Configuration Options\n\n### TokenFilter\nFilter tokens based on various criteria:\n\n```python\nTokenFilter(\n min_market_cap=Decimal(\"10000\"), # Minimum market cap in USD\n max_market_cap=Decimal(\"1000000\"), # Maximum market cap in USD\n min_liquidity=Decimal(\"5000\"), # Minimum liquidity in USD\n min_volume_24h=Decimal(\"1000\"), # Minimum 24h volume in USD\n min_holder_count=10, # Minimum number of holders\n exchanges=[\"raydium\", \"orca\"], # Allowed exchanges\n symbols=[\"SOL\", \"USDC\"], # Specific symbols to include\n exclude_symbols=[\"SCAM\", \"TEST\"], # Symbols to exclude\n max_risk_score=0.5, # Maximum risk score (0-1)\n)\n```\n\n### DataExportConfig\nConfigure data export and storage:\n\n```python\nDataExportConfig(\n enabled=True, # Enable/disable export\n format=\"json\", # \"json\", \"csv\", or \"database\"\n file_path=\"./exports\", # Export directory\n max_file_size_mb=100, # File size limit for rotation\n rotation_interval_hours=24, # Time-based rotation\n compress=True, # Enable compression\n include_metadata=True, # Include extra metadata\n)\n```\n\n### AlertConfig\nSet up alerts and notifications:\n\n```python\nAlertConfig(\n enabled=True, # Enable/disable alerts\n webhook_url=\"https://hooks.slack.com/...\", # Webhook URL for notifications\n email=\"alerts@example.com\", # Email for alerts\n conditions=[ # Custom alert conditions\n {\n \"type\": \"new_pool\",\n \"min_liquidity\": 100000,\n \"description\": \"High liquidity pool alert\"\n }\n ],\n rate_limit_seconds=300, # Minimum time between alerts\n)\n```\n\n## \ud83d\udcca Monitoring and Statistics\n\nGet real-time monitoring statistics:\n\n```python\nstats = client.get_monitoring_stats()\n\nprint(f\"Total messages: {stats.total_messages:,}\")\nprint(f\"Messages per minute: {stats.messages_per_minute:.1f}\")\nprint(f\"Unique tokens seen: {stats.unique_tokens_seen}\")\nprint(f\"Unique pools seen: {stats.unique_pools_seen}\")\nprint(f\"Connection uptime: {stats.connection_uptime:.0f}s\")\nprint(f\"Error count: {stats.error_count}\")\n```\n\n## \ud83d\udcc1 Data Export Formats\n\n### JSON Export\n```json\n{\n \"timestamp\": \"2024-01-15T10:30:00\",\n \"channel\": \"new_pools\",\n \"data\": {\n \"c\": \"sol\",\n \"p\": [{\n \"a\": \"pool_address_here\",\n \"ba\": \"base_token_address\", \n \"qa\": \"quote_token_address\",\n \"bti\": {\n \"s\": \"TOKEN\",\n \"n\": \"Token Name\",\n \"mc\": 150000\n }\n }]\n }\n}\n```\n\n### CSV Export\n```csv\ntimestamp,channel,data\n2024-01-15T10:30:00,new_pools,\"{\"\"c\"\":\"\"sol\"\",\"\"p\"\":[...]}\"\n```\n\n### SQLite Database\nTables: `messages`, `new_pools`, `trades` with structured data storage.\n\n## \ud83d\udea8 Error Handling\n\nGmGnAPI provides comprehensive error handling:\n\n```python\nfrom gmgnapi import (\n GmGnAPIError,\n ConnectionError,\n AuthenticationError,\n SubscriptionError,\n MessageParsingError,\n)\n\ntry:\n await client.connect()\n await client.subscribe_wallet_trades()\nexcept AuthenticationError:\n print(\"Invalid access token\")\nexcept ConnectionError:\n print(\"Failed to connect to WebSocket\")\nexcept SubscriptionError as e:\n print(f\"Subscription failed: {e}\")\nexcept GmGnAPIError as e:\n print(f\"API error: {e}\")\n```\n\n## \ud83d\udcda Examples\n\nThe `examples/` directory contains comprehensive examples:\n\n- **`basic_usage.py`**: Simple connection and data streaming\n- **`advanced_monitoring.py`**: Full-featured monitoring with statistics\n- **`data_export.py`**: Data export in multiple formats\n- **`filtering_alerts.py`**: Advanced filtering and alerting\n- **`multiple_channels.py`**: Subscribe to multiple data channels\n\n## \ud83e\uddea Testing\n\nRun the test suite:\n\n```bash\n# Install test dependencies\npip install -e \".[dev]\"\n\n# Run tests\npytest\n\n# Run with coverage\npytest --cov=gmgnapi\n\n# Run specific test file\npytest tests/test_client.py\n```\n\n## \ud83d\udee0\ufe0f Development\n\n### Code Quality\n```bash\n# Format code\nblack src/ tests/ examples/\n\n# Sort imports \nisort src/ tests/ examples/\n\n# Type checking\nmypy src/\n\n# Linting\nflake8 src/ tests/\n```\n\n### Building Documentation\n```bash\n# Install docs dependencies\npip install -e \".[docs]\"\n\n# Build docs\ncd docs/\nmake html\n```\n\n## \ud83e\udd1d Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Make your changes\n4. Add tests for new functionality\n5. Ensure all tests pass (`pytest`)\n6. Format your code (`black`, `isort`)\n7. Commit your changes (`git commit -m 'Add amazing feature'`)\n8. Push to the branch (`git push origin feature/amazing-feature`)\n9. Open a Pull Request\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\ude4f Acknowledgments\n\n- [GMGN.ai](https://gmgn.ai/) for providing the WebSocket API\n- [Pydantic](https://pydantic-docs.helpmanual.io/) for data validation\n- [websockets](https://websockets.readthedocs.io/) for WebSocket client implementation\n\n## \ud83d\udd17 Links\n\n- **Documentation**: [https://gmgnapi.readthedocs.io/](https://gmgnapi.readthedocs.io/)\n- **PyPI Package**: [https://pypi.org/project/gmgnapi/](https://pypi.org/project/gmgnapi/)\n- **GitHub Issues**: [https://github.com/yourusername/gmgnapi/issues](https://github.com/yourusername/gmgnapi/issues)\n- **GMGN.ai**: [https://gmgn.ai/](https://gmgn.ai/)\n\n---\n\n**\u26a1 Built for speed, designed for reliability, crafted for the Solana ecosystem.**\n",
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