Token Discovery
Understand how Agentical discovers tokens across pump.fun, DEX migrations, and social signals in real-time.
Token discovery forms the foundation of Agentical's trading system. Before any analysis occurs, before risk scores are calculated, before trades execute—your agent must first find opportunities in the vast sea of Solana tokens. This page explores how Agentical discovers tokens, the sources it monitors, and the initial filtering that happens within milliseconds of a token's appearance.
The Discovery Challenge
Market Scale & Speed
The Solana ecosystem, particularly pump.fun, operates at a pace that makes manual discovery impossible.
Daily Market Activity:
Human traders checking every few hours miss 95%+ of opportunities. Even checking every 15 minutes means missing dozens of potential trades. Agentical solves this through continuous, automated discovery.
The Discovery Imperative
Successful early-stage token trading depends on three discovery factors:
Timing - Finding tokens at the right lifecycle stage matters enormously. A token discovered at hour 2 offers different opportunities than the same token at hour 20.
Completeness - Missing tokens means missing opportunities. Comprehensive discovery ensures your agent evaluates every possibility matching your criteria.
Speed - In fast-moving markets, discovering a token 30 seconds earlier can mean 5-10% better entry prices. Discovery speed directly impacts profitability.
Discovery Sources & Methods
Primary Discovery: pump.fun Monitoring
Agentical's primary discovery mechanism continuously monitors pump.fun's infrastructure for new tokens and significant events.
Real-Time Event Monitoring:
The moment a token launches on pump.fun, Agentical's discovery agents capture the event, extract initial metadata, and queue it for evaluation against your criteria.
What Gets Captured Immediately:
Upon detecting a new token, the system captures essential information within milliseconds:
Token contract address
Launch timestamp
Initial liquidity amount
Creator wallet address
Token name and ticker
Initial holder count
Bonding curve status
This initial snapshot allows immediate basic filtering before committing resources to deeper analysis.
Secondary Discovery: DEX Migration Tracking
Tokens graduating from pump.fun to decentralized exchanges represent proven interest and reduced risk.
Migration Event Detection:
Migration Timeline Visualization:
Tertiary Discovery: Social Signal Monitoring
Social media activity often precedes significant token movements.
Social Discovery Channels:
Social discovery helps identify tokens gaining organic attention before this translates into trading volume, providing early-mover advantages.
Initial Filtering Process
The First Gateway
Not every discovered token proceeds to full analysis. Initial filtering discards obvious non-starters instantly.
Tier-1 Filtering (Occurs in <100ms):
This rapid filtering eliminates the majority of scams, test tokens, and non-viable launches before any computational resources are wasted on analysis.
Tier-2 Filtering (Occurs in <1 second):
Tokens passing both tiers enter the full analysis pipeline where your custom criteria and deep evaluation occur.
Discovery-to-Analysis Flow
Here's how a token moves from discovery to analysis consideration:
Discovery Strategies & Configuration
Discovery Focus Settings
You can configure where your agent concentrates its discovery efforts.
Lifecycle Stage Focus:
Discovery Volume Control:
These settings balance discovery completeness against system resource usage and analysis quality.
Discovery Filters
Beyond basic viability filtering, you can add custom discovery filters.
Custom Discovery Filters:
These filters refine what enters your analysis pipeline, focusing discovery on your specific opportunity preferences.
Discovery Performance Monitoring
Discovery Metrics Dashboard
Understanding your discovery system's performance helps optimize configuration.
Discovery Analytics:
Discovery Efficiency Metrics:
Discovery Gap Analysis
Identifying what you're not discovering helps refine configuration.
Gap Detection:
Discovery Best Practices
Optimal Discovery Configuration
Balancing comprehensiveness with resource efficiency requires thoughtful configuration.
Discovery Configuration Strategy:
Avoiding Discovery Pitfalls
Common discovery configuration mistakes reduce effectiveness.
Discovery Mistakes to Avoid:
Over-Filtering happens when discovery filters are so strict that quality opportunities never reach analysis. If your discovery-to-analysis rate is below 5%, filters may be too aggressive.
Under-Filtering wastes resources analyzing obvious scams and non-viable tokens. If more than 25% of discovered tokens reach analysis but fewer than 2% result in trades, initial filtering is too permissive.
Source Imbalance occurs when relying too heavily on one discovery source. Missing social signals or DEX migrations means missing entire opportunity categories.
Timing Gaps emerge from not monitoring continuously. Even 10-minute gaps can miss significant opportunities in this fast-moving market.
Discovery Technology & Infrastructure
Technical Architecture
Understanding the technical infrastructure reveals discovery reliability.
Discovery System Architecture:
Redundancy & Reliability:
Multiple redundancy layers ensure discovery never stops:
Multiple Data Sources: If pump.fun WebSocket drops, API polling activates
Fallback Systems: Backup RPC nodes ensure blockchain data access
Event Buffering: Temporary outages don't lose events (24-hour buffer)
Duplicate Prevention: Same token discovered multiple ways merges into single analysis
This architecture delivers 99.9%+ discovery uptime, ensuring you never miss opportunities due to technical failures.
The Discovery Foundation
Token discovery is where every successful trade begins. No amount of sophisticated analysis, perfect criteria configuration, or optimal execution can compensate for missing the opportunity entirely. Agentical's multi-source, continuous discovery system ensures your agent evaluates every relevant opportunity the moment it appears.
By understanding how discovery works, you can configure your agent to focus on the specific opportunity types that match your strategy while maintaining confidence that nothing slips through unnoticed. The discovery system works tirelessly, scanning hundreds of tokens daily, filtering out noise instantly, and delivering only quality candidates to your analysis pipeline—all while you focus on higher-level strategy.
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