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War Era
0.25.1-beta

Major Update: War Era Profitability Tools v4 Launch! Website Access, Net Wages Ranking, QoL Update

DAAPJune 13, 2026economy

Hi eco players of War Era,

 

I am incredibly excited to update you on the latest release of my War Era economic tools! This major update brings a massive leap in accessibility. We are officially rolling out the raw Python script and a brand-new web application portal.

 

Thanks to the web portal, Mac and mobile users can finally generate their market summaries at any time!

 

New Updates & Version 4.0 Release Notes

1. Core Tool Improvements

  • Ranked Wages Dashboard: Added a secondary image output (ranked_wages_chart.png). This dashboard ranks the highest-paying regions globally, filtering out low-tier areas to only display regions offering Top Net Wages strictly higher than 0.12 BTC/pp (Figure 2).

  • New Industries Supported: Added full economic calculations and production recipes for the Wood (Raw Material) and Paper (Processed Good) industries.

  • Masked API Key Input: The API key entry box now hides your token behind asterisks (***) as you type, keeping your key safe if you are screensharing or streaming. (Shoutout to Dog for the inspiration!)

  • Smarter Error Handling: If the War Era API drops its connection or your API key is invalid, the app will cleanly interrupt the process, log the error, and re-enable the UI so you can input a new API key or retry it without restarting the app.

  • Faster Fetching: Shortened the API delay clock between party fetch requests down to 0.1 seconds, making the overall data extraction phase significantly faster.

  • Smart Rate-Limit Protection: Added an auto-retry system. If the War Era servers get overwhelmed and issue a "429 Too Many Requests" block, the app will no longer crash. Instead, it automatically pauses for 2 seconds to let the server cool down, then seamlessly resumes extracting data.

  • Terminology and Layout: Modernised column headers across the dashboards for better clarity, updating "Old workers top wages" to Top Gross Wages, "Top wages after tax" to Top Net Wages, and "Price of Raw Material" to Matl, whilst reorganising the Regional Ranking columns into a much more logical data flow.

  • Updated Export File Names: Renamed the output images to product_profitability_ranking_chart.png and regional_wages_ranking_chart.png to make them instantly identifiable at a glance.

  • Ultra-HD Resolution Export: Upgraded both charts to export at an ultra-sharp 600 DPI (up from 300) to ensure that text, numbers, and grid lines remain perfectly crisp even when zooming in tightly.

  • Distinct Colour Themes: Implemented a sleek blue colour theme for the Regional Wages Ranking dashboard to help visually distinguish it from the green Product Profitability dashboard.

  • Polished Canvas Borders: Applied completely invisible borders to the footer row timestamps to create a professional, floating aesthetic, whilst perfectly shrink-wrapping the entire canvas to eliminate excess white space.

2. Brand New Web Dashboard Portal

  • Web Address: https://vercel-project-test.onrender.com/

  • Features: It processes live data to present you with the same two summary images (Product Profitability Rankings and Regional Wage Rankings) that I typically attach to my daily market updates.

  • How to Use: Simply navigate to the link, insert your API key, press the green button, and wait 30 seconds to a minute for the data charts to render.

  • Note: As always, use your API key at your own risk.

Why Use This Tool?

  • For Employers: Easily identify the most profitable industrial sectors, optimise global production tracks, and monitor if you are overpaying your current workforce.

  • For Employees: Instantly gauge the competitive standard benchmarks for normal wages across the active economy.

  • Increasing Market Transparency: Designed to foster a sustainable, healthy economic environment across the War Era, enabling healthy employment relationships based on pure data rather than cronyism.

How to Get and Use the Tools

You can utilise this system through three different pathways depending on your operating system and setup preferences:

Pathway A: The Web Tool (All Devices)

  1. Simply visit https://vercel-project-test.onrender.com/ to generate your automated real-time market snapshot.

Pathway B: The Windows Executable (EXE)

  1. Visit the GitHub Project: War-Era-Profit-and-Wages-Calculation-Tool

  2. Look on the right side of the repository, download the latest release, and extract the ZIP file.

  3. Open the folder and run dist > AllBonusV4.exe.

  4. Input your API Key, click Save & Run, and wait a few seconds.

Pathway C: Raw Python Script (Advanced/Cross-Platform Desktop)

  1. Head to the GitHub Project and download the script file: AllBonusV4.py

  2. Install the required dependency libraries via pip in your terminal: pip install requests pandas matplotlib.

  3. Run the code inside your preferred Python IDE.

Local Output Note (EXE & Script Only): The desktop tool will automatically output a comprehensive CSV record of all regions and their bonuses, a secure local text file to record your API key for future runs, alongside the two visual summary PNG charts right in the same folder.

Figure 1: Product Profitability Ranking Chart

Figure 2: Regional Wages Ranking Chart

How to use these two charts and the differences:

Figure 1: Product Profitability Ranking Chart

  • What it shows: This chart displays individual products' Profit per PP, Top Gross Wages, and Top Net Wages, calculated specifically using data from the single nation or region holding the highest production bonus for that item.

  • Purpose: It is sorted strictly by Profit per PP, reflecting exactly how much profit your Automated Engine makes for every production point it produces. This makes it the primary reference tool for company owners looking to optimise a pure, low-maintenance AE setup. Simultaneously, it maps out the ceiling for experienced worker wages once the 10% fidelity bonus is applied.

  • The Blindspot: This chart is incredibly clean and easy to understand because it only filters for the highest production bonus region per product. However, its primary blind spot is that it ignores income tax structures in lower-bonus regions that might actually yield better take-home pay for employees.

Figure 2: Regional Wages Ranking Chart

  • What it shows: This chart breaks down the region name, country name, income tax rate, local production bonus, price of goods, raw material costs (per piece), Profit per PP, Top Gross Wages, and the final Top Net Wages.

  • Purpose: Sometimes, a country with a lower raw production bonus can actually offer a superior net wage due to an incredibly low income tax bracket. Because the in-game dashboard usually only highlights top-bonus locations, these high-yield tax havens are often completely hidden from employers. This chart fixes that issue. It lists every individual region where the Top Net Wage sits at or above 0.12 BTC/pp, which is usually considered the threshold for competitive, high-tier market wages.

  • How to execute:

    • Employers can scan this chart to find optimal tax-haven locations to relocate their infrastructure, keeping their job offers highly attractive to workers without forcing the company to make losses.

    • Employees can use this chart to pinpoint exactly which regional sectors are capable of paying the highest actual net income, protecting them from underpayment without needing to rely on cronyism.

Definition of the Economic Terms

The generated charts rank industries by profitability or net wages and include a timestamp in Malaysia Time (UTC +8). Here is how to interpret the data:

1. Profit per PP (a.k.a. Top Hiring Wages)

  • Formula: ((Price of Goods – Raw Material Amount of Raw Material Needed) / Amount of PP Needed to Manufacture the Goods) * (1.00 + Production Bonus)

  • What it means:

    • For Employers: This represents the absolute break-even point for hiring a new worker. To guarantee a profit margin, employers typically set wages roughly 0.003 BTC/pp lower than this figure.

    • For AE Users: This value also dictates your exact profit when utilising the Automated Engine (AE) without manual workers. Because the chart is ranked by this metric, the higher an industry sits on the list, the more profitable it is for an AE setup.

2. Top Gross Wages (Full Fidelity)

  • Formula: ((Price of Goods – Raw Material Amount of Raw Material Needed) / Amount of PP Needed to Manufacture the Goods) * (1.00 + Production Bonus + 0.10)

  • What it means: This factors in the 10% fidelity bonus for experienced employees who have stayed with your company for more than 10 days. It serves as your wage ceiling. Employers can use this to progressively scale a new hire's wages up toward this ceiling over their first 10 days to drastically improve worker retention.

3. Top Net Wages (Full Fidelity)

  • Formula: Old Workers’ Top Wages * (1 – Best Region’s Tax Rate)

  • What it means:

    • For Employers: Shows the maximum net wage you can offer a worker without running a deficit, helping you decide which regions to shift operations to keep your offers competitive.

    • For Employees: An easy benchmark to evaluate if your employer is paying you fairly, or if it's time to scout for a more lucrative industry.

Please feel free to give the script or the new web application a try! If you decide to fork or modify the open-source code, please just remember to give credit. Do let me know if you have any feature requests or feedback.

Inspired by the Wealthrate website and the insightful economic articles byhttps://app.warera.io/user/6995fcd09d27a4a583a02dea, and assisted by Gemini Google for code writing optimisations.

Until next time, happy working!

DAAP

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