File size: 2,338 Bytes
6993919 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | # rugmunch-sdk
Python SDK for [Rug Munch Intelligence](https://rugmunch.io) — sovereign crypto intelligence platform with 13+ chains, 96 data providers, 8 MCP tools, and x402 paid tier.
## Install
```bash
pip install rugmunch
```
## Quick start (async)
```python
import asyncio
from rugmunch_sdk import RMI
async def main():
async with RMI(base_url="https://api.rugmunch.io", api_key="...") as client:
# Real-time token risk (FREE 5/day, $0.01 thereafter)
risk = await client.get_token_risk(chain="solana", address="DezXAZ...")
print(f"Risk: {risk.score}/100 ({risk.tier})")
# RAG search
hits = await client.rag_search("ethereum wallet security", collection="scam_intel")
for h in hits:
print(f" - {h.text[:80]}...")
# Full AI research report ($5/report)
report = await client.generate_report("token", "solana:DezXAZ...")
print(report.markdown[:500])
asyncio.run(main())
```
## Quick start (sync — for scripts / notebooks)
```python
from rugmunch_sdk import RMI_sync
with RMI_sync(base_url="https://api.rugmunch.io") as client:
risk = client.get_token_risk(chain="solana", address="DezXAZ...")
print(f"Risk: {risk.score}/100 ({risk.tier})")
```
## Available methods
| Method | Free? | x402 price |
|--------|-------|------------|
| `get_health()` | yes | free |
| `get_catalog_stats()` | yes | free |
| `get_x402_catalog()` | yes | free |
| `list_mcp_tools()` | yes | free |
| `call_mcp_tool(name, args)` | per tool | per tool |
| `get_token_risk(chain, address)` | 5/day | $0.01 |
| `get_wallet_analysis(chain, address)` | 5/day | $0.01 |
| `resolve_entity(wallet_id)` | no | $0.10 |
| `rag_search(query, collection, top_k)` | 5/day | $0.01 |
| `rag_ingest(content, collection)` | no | $0.10 |
| `list_news(since_hours, limit)` | 5/day | $0.01 |
| `get_news_trending(window_hours, limit)` | 5/day | $0.01 |
| `get_news(news_id)` | 5/day | $0.01 |
| `analyze_news(news_id)` | 5/day | $0.01 |
| `generate_report(subject_type, subject_id)` | no | $5.00 |
## MCP integration
RMI is a Model Context Protocol server. Add to your AI agent:
```json
{
"mcpServers": {
"rugmunch": {
"url": "https://api.rugmunch.io/mcp",
"transport": "streamable-http"
}
}
}
```
## License
MIT © Rug Munch Intelligence
|