RMI Backend — Product Charter

Product: Rug Munch Intelligence (RMI) Backend Repo: git.rugmunch.io/RugMunchMedia/rmi-backend Deploy path: /root/backend/ on Talos Container: rmi-backend Health: http://127.0.0.1:8000/health Status: Production / degraded

Problem

Crypto users and platforms need a single, fast, machine-readable source of token risk, wallet labels, and on-chain intelligence. Existing tools are fragmented, expensive, or closed.

User

Telegram users via @rugmunchbot
RMI web frontend at https://rugmunch.io
AI agents via MCP
API consumers via x402 pay-per-call

Scope

FastAPI backend with token scanner, wallet forensics, market data, alerts
DataBus: unified data plane across 30+ providers
Telegram bot commands: /scan, /portfolio, /simulate, /chart, /watch
MCP server for agent tool calling
x402 payment gating for premium endpoints

Anti-scope

No frontend code (that lives in rmi-frontend)
No wallet generation (that lives in walletpress)
No web scraping engine (that lives in pryscraper)
No social protocol clients (that lives in degenfeed-web)

Success criteria

/health returns 200
CI gates are authoritative
Test coverage >60%
All MCP tools have Pydantic input/output schemas
No production file >500 lines

Current reality

990 routes across modular routers
Health is unhealthy because rmi-redis:6379 does not resolve
8.61% test coverage
17 time.sleep(), 1,713 f-string logs, 399 print() calls
Largest file app/routers/x402_tools.py is 212 KB

Fleet dependencies

Postgres rmi-postgres:5432
Redis rmi-redis:6379 (currently failing)
Qdrant 127.0.0.1:6333 (currently down due to stale IP bind)
Neo4j 127.0.0.1:7687
ClickHouse 127.0.0.1:8123

Standards

This repo follows Rug Munch Media standards.

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