What is OptimEngine?
OptimEngine is a AI tool that Operations Intelligence Solver โ 4 levels of optimization intelligence. L1: Scheduling (FJSP), Routing (CVRPTW), Bin Packing. L2: Sensitivity, Robust, Stochastic (Monte Carlo + CVaR). L2.5: Pareto Fro. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xc9ddd9f1d3c63afad2c06f175ce907c5c5d4a410. Last analyzed September 2026.
Why This Score
- โ ๏ธ Security: 0/100 โ Some security concerns
- โ ๏ธ Maintenance: 0/100 โ Maintenance activity is low
- โ ๏ธ Community: 0 stars, 0 downloads โ Growing community
- โ ๏ธ Transparency: License: Not specified โ No license specified
Trust & Safety Overview
What OptimEngine Does
OptimEngine is a agent in the AI tool category. Operations Intelligence Solver โ 4 levels of optimization intelligence. L1: Scheduling (FJSP), Routing (CVRPTW), Bin Packing. L2: Sensitivity, Robust, Stochastic (Monte Carlo + CVaR). L2.5: Pareto Frontier. L3: Prescriptive Intelligence (Forecast + Optimize + Advise). 11 MCP tools, 121 tests. Powere. It is published by 0xc9ddd9f1d3c63afad2c06f175ce907c5c5d4a410 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use OptimEngine
OptimEngine is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xc9ddd9f1d3c63afad2c06f175ce907c5c5d4a410 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=optimengine
Setup guide ยท Full safety report ยท Production review ยท Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.