EYES-Screener

BNB Chain token screener — See everything. Invest wisely.

A static site (HTML + CSS + vanilla JS, no build step) built from the design in assets/design/mockup.jpg.

Run

python3 -m http.server 8000   # then open http://localhost:8000

Any static host works (Vercel, Netlify, GitHub Pages, Cloudflare Pages).

Pages

Route	What it is
/	EYES-Screener: filterable, sortable token table with market overview
/home	Overview: market stats, top movers, new pairs, tool shortcuts
/ai-investigator	Paste a name or contract, get an AI-style safety report
/risk-radar	Radar and list of tokens scored for safety, filterable by red flag
/signal-alerts	Create price / momentum / risk alerts and see the signal feed
/watchlist	Starred tokens (saved in the browser)
/academy	Courses with saved progress and a glossary
/token?s=TST	Token detail: chart, stats and risk breakdown
/more, /eyes, /settings	Hub, $EYES ecosystem preview, theme and data controls

Everything responsive: desktop 3-column, tablet, and a phone layout with a slide-out menu, bottom nav and card-style tables. Light and dark themes.

Structure

src/partials/            shared header, sidebar, bottom nav, icon sprite
src/pages/*.html         one source file per page (front-matter + <main>)
tools/build_pages.py     assembles src/ into the root *.html files  ->  python3 tools/build_pages.py
index.html, home.html …  generated output (committed, served as-is)
css/styles.css           base styles, theme tokens, screener
css/pages.css            inner-page styles
js/data.js               demo market data (swap for a real feed with the same shape)
js/common.js             shared helpers, risk model, theme, menu, wallet
js/app.js, ai.js, …      one script per page
assets/img/              images (tokens/ = real logos)
tools/fetch_token_logos.py    downloads real token logos
tools/fetch_remote_assets.sh  build step: pulls Higgsfield-generated banner art (see vercel.json)
tools/extract_assets.py       crops fallback images from the mockup

Edit a page in src/, run python3 tools/build_pages.py, commit both. Market data and risk scores are demo data; to go live replace EYES_DATA.tokens and EYES.analyse with a real provider.