CoinSignal AI Docs
Everything you need to install, configure, and get maximum signal from the world's most powerful browser-based memecoin scanner.
Introduction
CoinSignal AI is a browser bookmarklet that turns any webpage into a live memecoin signal scanner. It runs entirely client-side — no server, no API key, no account required.
The scanner uses pattern-matching to detect token tickers ($PEPE, $WIF, $BONK), uppercase token-like strings (DOGE, SHIB, PEPE), and Ethereum/Solana contract addresses. Each detected token is assigned a risk score and a trading signal: BUY, WATCH, or AVOID.
A bookmarklet is a browser bookmark that contains JavaScript instead of a URL. When you click it, it runs code on the current page — like a mini-app that activates on demand.
Installation
CoinSignal AI installs in seconds. No download, no signup, no extension store.
Enable your bookmarks bar
In Chrome: press Ctrl+Shift+B (Win) or ⌘+Shift+B (Mac). In Firefox: View → Toolbars → Bookmarks Toolbar.
Drag the scanner button to your bookmarks bar
Go to the homepage and drag the "⚡ CoinSignal AI Scanner" button directly to your bookmarks bar. Your browser will save it as a bookmark.
Alternative: Copy and paste manually
Click "Copy to Clipboard" on the homepage, then right-click your bookmarks bar → "Add page" → paste the code as the URL. Name it "⚡ CoinSignal AI".
Visit any crypto page and click the bookmarklet
Navigate to Twitter, Dexscreener, Reddit, CMC, or any page. Click your new bookmarklet. The CoinSignal AI panel appears in the bottom-right corner instantly.
Bookmarklets require a visible bookmarks bar. Mobile browsers don't support bookmarklets natively. On iOS, you can use the "Share → Add to Reading List" workaround.
How AI Scanning Works
CoinSignal AI runs a lightweight on-page intelligence pipeline that analyzes visible text in real time. It does not rely on servers or external APIs — everything happens locally in your browser.
Text Ingestion
Reads the full document.body.innerText snapshot from the current page, capturing posts, tweets, chats, and chart annotations.
Token Detection Engine
Runs regex-based pattern matching to extract tickers, contract addresses, and uppercase token mentions from raw text.
Noise Filtering Layer
Removes false positives like HTTP, ETH, BTC, JSON, and other common non-token keywords using a strict blocklist system.
Signal Classification
Each token is assigned a state (BUY, WATCH, AVOID) based on context frequency, format strength, and detection confidence.
Risk Scoring Engine
A 1–100 risk score is generated using heuristics like mention density, token entropy, and contract pattern confidence.
Detection Logic
| Pattern | Purpose | Example |
|---|---|---|
| /\$([A-Z]{2,10})/g | Ticker-style tokens | $PEPE, $WIF |
| /\b([A-Z]{3,8})\b/g | Raw token mentions | DOGE, SHIB |
| /0x[a-fA-F0-9]{8,}/g | Contract addresses | 0xabc123... |
No data leaves your browser. All detection, scoring, and classification is performed client-side in JavaScript.
Use Cases
CoinSignal AI works on any webpage. Here are the highest-signal environments our users rely on:
Twitter / X
Scan CT threads, spaces transcripts, and trending tweets for early token callouts before they pump.
Dexscreener
Run on token detail pages to cross-reference chart tickers with AI risk scoring in real-time.
Telegram Web
Paste alpha group exports or scan Telegram Web directly to extract every token mentioned.
Scan r/CryptoMoonShots, r/SatoshiStreetBets, and other memecoin subreddits for emerging tickers.
CoinMarketCap
Run on CMC trending pages to extract every listed ticker and assess risk before you ape in.
Axiom.Trade
The native integration. Use CoinSignal AI alongside Axiom perps for precision entry/exit signals.
Reading Signals
Each detected token is classified into one of three signal states:
Strong accumulation signal
Token appears multiple times in positive context, risk score below 45, ticker-prefixed mention detected. Consider opening a position, DYOR.
Monitor closely
Token detected with moderate frequency, mixed context signals, or risk score in the 45–72 range. Set an alert, do not FOMO in.
High-risk indicator
Risk score above 72, rug-pattern context detected, or single-mention isolated callout. Exercise extreme caution or skip entirely.
CoinSignal AI is a research tool. Signals are simulated pattern matches, not guaranteed alpha. Always conduct your own research before trading.
Risk Scoring Engine
The risk score (1–100) is a composite metric calculated at scan time. Higher scores indicate higher risk of loss, rug pull, or scam.
Risk Score Inputs
The scoring model processes multiple data points per detected token including social mention velocity, context sentiment weighting, address pattern recognition, and token name entropy analysis.
Detection Rules
CoinSignal AI applies deterministic pattern rules before applying any probabilistic scoring.
// Token detection patterns const PATTERNS = { // $TICKER style (highest confidence) ticker: /\$([A-Z]{2,10})/g, // Raw uppercase 3-8 char (medium confidence) uppercase: /\b([A-Z]{3,8})\b/g, // EVM contract address (high value) contract: /0x[a-fA-F0-9]{8,}/g, }; // Noise filter blocklist const BLOCKLIST = [ 'HTTP', 'HTML', 'JSON', 'CSS', 'API', 'NFT', 'DAO', 'USD', 'ETH', 'BTC', 'SOL', 'THE', 'AND', 'FOR', 'ARE', 'NOT', ]; // Max results to display const MAX_TICKERS = 6; const MAX_CONTRACTS = 2;
Privacy
CoinSignal AI is designed with privacy as a first principle:
- No data is ever sent to a server
- No user account or login required
- No cookies, localStorage, or tracking
- No third-party scripts injected
- All scanning runs in your browser's JavaScript runtime
- The bookmarklet code is fully auditable — view source anytime
The entire bookmarklet is visible in the source. Click "View Bookmarklet Code" on the homepage to inspect every line before installing.