| name | tracking-token-launches |
| description | Track new token launches across DEXes with risk analysis and contract verification.
Use when discovering new token launches, monitoring IDOs, or analyzing token contracts.
Trigger with phrases like "track launches", "find new tokens", "new pairs on uniswap",
"token risk analysis", or "monitor IDOs".
|
| allowed-tools | Read, Write, Edit, Grep, Glob, Bash(python*launch_tracker*) |
| version | 1.0.0 |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| license | MIT |
Token Launch Tracker
Overview
Monitor new token launches across decentralized exchanges. Detect PairCreated events from DEX factory contracts, fetch token metadata, and analyze contracts for risk indicators like mint functions, blacklists, proxy patterns, and ownership status.
Prerequisites
Before using this skill, ensure you have:
- Python 3.8+ with
requests library
- RPC endpoint access (public endpoints work for basic usage)
- Optional: Etherscan API key for contract verification checks
- Optional: Custom RPC URLs for higher rate limits
Commands
recent - Show Recent Launches
python launch_tracker.py recent --chain ethereum --hours 24
python launch_tracker.py recent --chain base --analyze --limit 20
python launch_tracker.py recent --chain bsc --dex "PancakeSwap V2" -f json
Options:
--chain, -c: Chain to scan (ethereum, bsc, arbitrum, base, polygon)--hours, -H: Hours to look back (default: 24)--dex, -d: Filter by DEX name--limit, -l: Maximum results (default: 50)--analyze, -a: Include token and contract analysis--rpc-url: Custom RPC URL
detail - Token Details
python launch_tracker.py detail --address 0x... --chain ethereum
Options:
--address, -a: Token contract address (required)--chain, -c: Chain (default: ethereum)--pair, -p: Pair address (optional)--etherscan-key: API key for verification check
risk - Risk Analysis
python launch_tracker.py risk --address 0x... --chain base
Analyzes contract for risk indicators:
- Mint function (HIGH risk)
- Proxy contract (MEDIUM risk)
- Not verified (MEDIUM risk)
- Blacklist functionality (MEDIUM risk)
- Active owner (LOW risk)
summary - Launch Statistics
python launch_tracker.py summary --hours 24
python launch_tracker.py summary --chains ethereum,base,arbitrum
dexes - List DEXes
python launch_tracker.py dexes --chain bsc
chains - List Chains
python launch_tracker.py chains
Instructions
-
Check recent launches on a specific chain:
cd {baseDir}/scripts
python launch_tracker.py recent --chain ethereum --hours 6
-
Get detailed token info for a specific address:
python launch_tracker.py detail --address 0x6982508145454ce325ddbe47a25d4ec3d2311933 --chain ethereum
-
Analyze token risk before interaction:
python launch_tracker.py risk --address 0x... --chain base --etherscan-key YOUR_KEY
-
View cross-chain summary:
python launch_tracker.py summary --hours 24
-
Export to JSON for programmatic use:
python launch_tracker.py -f json recent --chain ethereum --analyze > launches.json
Supported Chains
| Chain | DEXes | Block Time |
|---|
| Ethereum | Uniswap V2/V3, SushiSwap | 12s |
| BSC | PancakeSwap V2/V3 | 3s |
| Arbitrum | Uniswap V3, Camelot, SushiSwap | 0.25s |
| Base | Uniswap V3, Aerodrome | 2s |
| Polygon | Uniswap V3, QuickSwap, SushiSwap | 2s |
Risk Indicators
| Indicator | Severity | Description |
|---|
| Mint function | HIGH | Contract can mint new tokens |
| Proxy contract | MEDIUM | Implementation can be changed |
| Not verified | MEDIUM | Source code not public |
| Blacklist/whitelist | MEDIUM | Can restrict transfers |
| Active owner | LOW | Ownership not renounced |
| Small bytecode | INFO | Might be minimal/proxy |
Output
- Table format: Formatted ASCII tables with token data
- JSON format: Structured data for programmatic use
- Risk scores: 0-100 scale (higher = riskier)
- Links: Explorer and DEXScreener URLs
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling including:
- RPC connection issues and fallback chain
- Rate limiting and backoff strategies
- Contract analysis edge cases
Examples
See {baseDir}/references/examples.md for detailed examples including:
- Finding high-risk tokens
- Multi-chain monitoring scripts
- Python integration
Resources
