This guide provides examples of effective report descriptions to help you get the most out of Pond3r’s AI-powered analytics. Well-crafted descriptions yield more accurate and useful automated reports. Below are examples organized by analysis type.
Track new tokens on Uniswap with less than $500K market cap and rising liquidityMonitor AI agent launches on Virtuals Protocol with graduation success ratesDaily report on Base ecosystem tokens showing 50%+ volume growth in 24h
These reports automatically identify emerging opportunities by analyzing liquidity patterns, volume trends, and statistical indicators across new token launches.
Market Cap Analysis
Copy
Weekly report on tokens transitioning from micro-cap to small-cap statusTrack meme coins on Solana breaking $1M market cap with sustained volumeMonitor tokens with unusual whale accumulation patterns below $10M market cap
These reports focus on market capitalization movements and institutional interest patterns.
Daily yield farming report across Aave, Compound, and Convex protocolsTrack new liquidity incentive programs on Arbitrum with APY above 50%Monitor Curve gauge voting patterns and bribe effectiveness
These reports analyze yield opportunities, protocol governance, and incentive mechanisms across major DeFi protocols.
DEX Performance Analysis
Copy
Weekly DEX volume comparison between Uniswap, PancakeSwap, and Trader JoeTrack new pools on Aerodrome with rising fee generationMonitor arbitrage opportunities between major DEX protocols
These reports examine trading activity, liquidity depth, and cross-protocol opportunities.
Daily liquidation risk report across Aave, Compound, and MakerDAOTrack positions approaching liquidation thresholds with whale wallet analysisMonitor systemic risk indicators across major lending protocols
These reports analyze liquidation risks, position health, and systemic stability across DeFi lending protocols.
Market Risk Monitoring
Copy
Weekly correlation analysis between major crypto assets and traditional marketsTrack unusual options flow and derivatives positioning in crypto marketsMonitor funding rates and perpetual swap premiums across exchanges
These reports focus on market structure, derivatives activity, and cross-asset correlations.
Daily trending topics and token mentions on Farcaster with sentiment analysisTrack influencer activity and engagement patterns on crypto topicsMonitor social signals correlation with token price movements
These reports analyze social media trends, influencer activity, and sentiment correlation with market movements.
Weekly cross-chain bridge volume analysis with risk assessmentTrack new token launches across multiple chains with liquidity comparisonMonitor arbitrage opportunities between different blockchain ecosystems
These reports analyze cross-chain activity, bridge volumes, and multi-chain opportunity identification.
Ecosystem Growth Tracking
Copy
Monthly ecosystem health report comparing Ethereum L2sTrack developer activity and TVL growth across alternative L1sMonitor new protocol deployments and adoption metrics
These reports focus on ecosystem development, adoption metrics, and competitive landscape analysis.
To get the best automated reports from Pond3r, follow these description guidelines:
Be specific about timeframes: Instead of “regularly,” specify “daily,” “weekly,” or “monthly” delivery
Define clear criteria: Specify market cap ranges, volume thresholds, or percentage changes you want to track
Include risk parameters: Mention risk tolerance levels, volatility preferences, or safety criteria
Specify protocols and chains: Mention which blockchains, DEXs, or protocols you want to monitor
Define success metrics: Clearly state what constitutes an opportunity (APY, volume growth, liquidity increases)
Set delivery preferences: Specify email delivery schedule and any alert thresholds for urgent opportunities
Pond3r’s AI data scientist learns from your feedback. If reports need refinement, simply describe the adjustments and our AI will optimize the analysis accordingly.
