Metier

Find your calling. Screen out the noise. Metier is the recruiter legitimacy check for career professionals. Paste any recruiter email, LinkedIn DM, or outreach message and get an AI-powered read on whether it's worth your time — plus a tracker for every job you're pursuing.

Pronounced "met-yay" — from métier*, your calling, your craft, your vocation.*

• 🎯 Legitimacy Score (0–100) with a color-coded verdict
• 🔍 LinkedIn identity check — does their background actually match who they claim to be?
• 🏢 Company intelligence — who the company likely actually is
• 💬 Questions to send them — tailored follow-ups that smoke out ghost jobs
• ✅ Verification checklist — auto-checks domain age, DNS, and more
• 🔗 Cross-reference — flags if the same identity appeared in a previous analysis
• 🌐 Live web research — searches for scam reports automatically
• 📋 Job tracker — every vetted contact and self-found role in one pipeline, with status tracking

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Quick start

1. Get an API key

Sign up at console.anthropic.com and create an API key.

2. Clone and install

git clone https://github.com/your-username/metier.git
cd metier
pip install -r requirements.txt

3. Add your API key

cp .env.example .env
# Open .env and add your key

4. Run

python app.py

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Choosing a model provider

Métier runs on Claude by default, but supports OpenAI and Grok (xAI) too. Pick one in .env:

# Claude (default)
LLM_PROVIDER=anthropic
ANTHROPIC_API_KEY=...

# OpenAI
LLM_PROVIDER=openai
OPENAI_API_KEY=...

# Grok / xAI
LLM_PROVIDER=grok
XAI_API_KEY=...

Only the key for your chosen provider is required. OpenAI and Grok need the openai package (already in requirements.txt). The prompts are tuned for Claude, so other models may score a little differently. The footer under each result shows which provider produced the read.

Open http://localhost:5000

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Running as a service (Linux / systemd)

To keep Metier running in the background on any systemd-based Linux host, a unit file is included. Edit the paths in metier.service to match where you cloned it, then:

sudo cp metier.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable metier
sudo systemctl start metier

You can also deploy it anywhere that runs Python — a VPS, a home server, or a platform like Railway, Render, or Fly.io.

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Project structure

metier/
├── app.py                  # Flask server + LLM providers (Claude / OpenAI / Grok)
├── templates/
│   ├── index.html          # Analyzer
│   ├── history.html        # Job Tracker
│   ├── questions.html      # Questions to Ask
│   └── redflags.html       # Common Red Flags
├── assets/                 # Logos & app icons (SVG)
│   ├── metier-logo.svg
│   ├── metier-logo-dark.svg
│   ├── metier-app-icon.svg
│   └── metier-icon-small.svg
├── data/                   # SQLite database (git-ignored)
├── requirements.txt
├── .env.example
└── metier.service          # systemd unit (optional, for Linux hosts)

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License

MIT