Ultra-low latency self-hosted API gateway for Agentic AI governance & FinOps.
Aegis-AI is a self-hosted, ultra-low latency API gateway designed specifically for enterprise Agentic AI governance, cost optimization (FinOps), and security compliance. Built using high-performance architecture, this production-ready engine allows tech teams and AI startups to safely sit directly in front of large-scale AI clusters to manage traffic, track granular token expenses, and block malicious prompt injections in real time. Key Technical Features: Ultra-Low Latency Proxying: Minimal architectural overhead ensuring fast response times under heavy concurrent loads. Enterprise Governance & FinOps: Built-in hooks for real-time tracking of token expenditures and API usage metrics across multiple models. Security-First Architecture: Designed for Zero-Trust environments with clean input/output sanitization filters. Cloud-Native & Containerized: Complete Docker and deployment configurations included for instant hosting setup. On-Premise PII Redaction Engine: Local, low-overhead endpoint to redact sensitive data from prompts and responses before they leave your secure infrastructure. Full OpenAPI 3.1 Compliance: Out-of-the-box Swagger documentation endpoints (/redact, /validate, /stats) for instant enterprise developer onboarding and integration. Tech Stack Included: Core Core Core: Go (Golang) / High-performance concurrent request engine Dashboard UI: React, TypeScript, Vite, Tailwind CSS (components for tracking usage metrics) Infrastructure: Docker, Multi-stage production builds, Nginx reverse proxying Data Layers: SQL Migrations (PostgreSQL/MySQL ready initialization scripts) What is Included in the Sale: 1. Complete, cleanly commented source code repository. 2. Fully configured local testing suites and environment setups. 3. Production-ready Docker containerization manifests. 4. Comprehensive deployment documentation for quick infrastructure launches. Live Analytics & FinOps Dashboard Included: Real-Time Cost Tracking: Monitor total multi-model spending metrics alongside daily percentage differences. Granular Token Metrics: Track exact token consumption volume over dynamic 24-hour cycles. Agent Resource Allocation: In-depth breakdown tables monitoring tokens, exact costs, budgets, request limits, and live uptime updates per agent. Save over 200+ hours of backend architecture layout, middleware planning, and security engineering. This codebase is the ultimate foundation for anyone looking to build or ship an AI orchestration, firewall, or management business today.
Next step: <p>1. Launch a Hosted SaaS: Connect a payment gateway (like Stripe or Gumroad) to charge AI developers a recurring monthly fee for access to a hosted gateway cluster.</p><p>2. Market to B2B Compliance Teams: Position the local PII Redactor as a dedicated security proxy for small FinTech, LegalTech, or HealthTech firms that are restricted from sending raw user metrics to OpenAI.</p><p>3. Package as a Premium Developer Boilerplate: Sell individual single-user download licenses to engineering teams who need an out-of-the-box template to fast-track their own custom internal AI orchestration platforms.</p><p><br></p>
For sale
Asking price: $1,200 USD
What's included
Source code, All related design work
Full setup documentation, deployment configuration files (Docker Compose and Nginx reverse proxy manifests), and a custom single-use commercial license text file.
Reason for selling
I built this project to solve a specific infrastructure problem around enterprise AI compliance, cost logging, and local data protection. Now that the underlying engine, PII redaction layer, and frontend analytics dashboard are 100% complete and fully verified, I am shifting my focus to other security and automation tools under my main company. I want to pass this complete codebase to a founder or development team who can actively launch, market, and scale it as a SaaS or enterprise tool.
Project metrics
Average Monthly Revenue: Pre-revenue
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