rmi-backend/sdks/python

rugmunch-sdk

Python SDK for Rug Munch Intelligence — sovereign crypto intelligence platform with 13+ chains, 96 data providers, 8 MCP tools, and x402 paid tier.

Install

pip install rugmunch

Quick start (async)

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)

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:

{
  "mcpServers": {
    "rugmunch": {
      "url": "https://api.rugmunch.io/mcp",
      "transport": "streamable-http"
    }
  }
}

License

MIT © Rug Munch Intelligence