Fully tested & production-ready

Ship products,not infrastructure

Stop rebuilding auth, jobs, and integrations from scratch. Three production-ready Python packages that let your team focus on what matters—your product.

$pip install svc-infra ai-infra fin-infra
0downloads/mo0%test coverage0+docs pages
Use in Any Agent IDE

Access nfrax docs in your favorite AI assistant

Copy this MCP server URL into GitHub Copilot, Claude Code, Cursor, or any agent IDE.Zero configuration needed.

https://api.nfrax.com/mcp/nfrax-docs/mcp
Works with:CopilotClaude CodeCursor+ more
10x
Faster to MVP

Skip months of boilerplate. Auth, jobs, observability—done.

80%
Less Code

Replace thousands of lines with a few imports.

100%
Test Coverage

Every package is fully tested and production-ready.

0
Vendor Lock-in

Swap providers anytime. Your code stays the same.

Use Cases

Build anything you can imagine

Combine packages to match your exact needs.

SaaS Backend

Auth, billing, multi-tenancy, and observability out of the box.

svc-infra

AI Agent Platform

LLM orchestration with tools, human-in-the-loop, and provider fallbacks.

ai-infrasvc-infra

Personal Finance App

Bank account linking, transaction categorization, and spending insights.

fin-infrasvc-infra

Trading Dashboard

Real-time market data, portfolio tracking, and investment analytics.

fin-infraai-infra

Built with the best

Powered by industry-leading technologies

Developer Experience

Write less. Ship more.

Intuitive APIs with sensible defaults. Get started in minutes, customize when needed—your team moves faster from day one.

Async-First

Built on async/await for high-concurrency, non-blocking operations.

Type Safe

Full type hints and Pydantic models for excellent IDE support.

Composable

Use independently or combine for full-stack solutions.

Production Ready

Battle-tested patterns with observability built in.

from svc_infra.api.fastapi.ease import easy_service_app
from ai_infra import LLM, Agent
from fin_infra.banking import easy_banking
# Backend with auth, caching, observability
app = easy_service_app(name="FinanceAI", release="1.0.0")
# AI agent for financial insights
agent = Agent(tools=[analyze_spending, get_advice])
# Banking data from Plaid/Teller
banking = easy_banking()
@app.get("/insights/{user_id}")
async def get_insights(user_id: str):
accounts = banking.accounts(access_token=get_token(user_id))
return await agent.run(f"Analyze: {accounts}")
20+ Integrations

Connect to everything

AI providers, payment processors, databases, vector stores, and observability tools — all ready to use

Start building in minutes

Install, import, ship. No complex setup, no hidden gotchas—just production-ready infrastructure that works.

Open Source
MIT Licensed
Python 3.11+
Fully Tested
Production Ready