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The quality of your prompts directly impacts the quality of your insights. Here’s how to ask questions that unlock Chat’s full potential.

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The Fundamentals

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Be Specific

Vague questions get vague answers. Specific questions get actionable insights. 
Tell me about swaps on Blur.

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Define Your Terms

Don’t assume Chat knows what you mean by “whales,” “recently,” or “active users.” Define it explicitly.
  • Whales: greater than $100K holdings
  • Retail: less than $1K holdings
  • High-value transactions: greater than $50K
Use explicit dates instead of relative terms:
  • “2024-01-01 to 2024-03-31”
  • “last 30 days” or “past week” are acceptable
Avoid: “recently” or “this quarter”
  • Quality users: score greater than 4 on reputation metric
  • New addresses: first transaction within date range
  • Active addresses: greater than 5 transactions in period
  • Power users: greater than 20 transactions or greater than $10K volume

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Provide Chain and Contract Context

Always specify which chain(s) and contract(s) you want to analyze. The more context you provide upfront, the better Chat can understand your intent.
Critical: If you know the chain(s) or contract(s) you want to analyze, tell Chat explicitly. Don’t assume it will guess correctly.
Show me USDC transfers.
Why this matters:
  • Many tokens exist on multiple chains (USDC, USDT, WETH, etc.)
  • Contract addresses eliminate ambiguity completely
  • Specifying chains helps Chat choose the right data sources

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Build Context Incrementally

Start broad, inspect the results, then narrow your focus.
1

Explore

”Show me DEX activity on Base"
2

Narrow

"Focus on the top 3 protocols by volume"
3

Deep dive

"Break down Uniswap swaps by token pair for the top 10 pairs"
4

Analyze

"Which pairs have the highest concentration of whale trades?”

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Advanced Techniques

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Provide Examples

Show Chat what you’re looking for: 
Find protocols similar to Uniswap (automated market makers with liquidity pools)
that launched on Arbitrum in 2023.

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Specify Output Format

Tell Chat how you want to see the results:
  • “Show this as a time series line chart”
  • “Create a bar chart comparing the top 10 protocols”
  • “Format this as a table with columns for: date, protocol, volume, unique users”

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Request Validation

Ask Chat to double-check its work:
  • “Validate these results using an alternative calculation method”
  • “Cross-check this TVL against DeFiLlama data”
  • “Show me the query you used and explain your methodology”

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Break Complex Questions into Steps

For multi-part analyses, guide Chat through the process: 
Let's analyze Aave lending behavior in three steps:
1. First, show me total deposits and borrows over the past 90 days
2. Then, break down deposits by asset (top 10 assets by volume)
3. Finally, identify addresses that deposited >$100K and took a loan within 24 hours

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Common Patterns That Work

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Comparison Questions

Compare [metric] across [entities] for [time period]
Examples:
  • “Compare DEX volumes across Ethereum, Arbitrum, and Optimism for the last 30 days”
  • “Compare average transaction fees for Uniswap v2 vs v3 this month”

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Trend Analysis

Show me the [metric] trend for [entity] over [time period], broken down by [frequency]
Examples:
  • “Show me the daily active user trend for Aave on Ethereum over the past 90 days”
  • “Show weekly stablecoin transfer volumes on Solana for Q1 2024”

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Cohort Analysis

Find [user type] that [action] during [time period], then track [metric]
Examples:
  • “Find addresses that first used Uniswap in January 2024, then track their monthly trading volume”
  • “Find wallets that bridged to Arbitrum in Q1, then show their DeFi adoption rate”

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Anomaly Detection

Identify [entities] where [metric] is [threshold] compared to [baseline]
Examples:
  • “Identify pools where liquidity dropped greater than 50% in a single day over the past month”
  • “Find tokens where trading volume spiked greater than 10x compared to their 30-day average”

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What to Avoid

Don’t: - Assume Chat remembers context from previous conversations (each chat is isolated) - Use ambiguous terms like “popular,” “big,” “good,” or “active” without defining them - Ask about tokens or protocols without specifying which chain(s) - Ask multiple unrelated questions in one prompt (break them into separate messages) - Request real-time data without specifying “use live query mode”

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Pro Tips

Don’t just accept the numbers. Dig in:
  • “Why is this number so high?”
  • “What might explain this trend?”
  • “Are there any data quality issues I should be aware of?”
If something looks wrong, say so: - “This number seems too low. Can you double-check?” - “I expected to see more activity in December. Did we miss something?” - “This chart is hard to read. Can you simplify it?”
For structured, methodological analyses, use Automations. They provide pre-trained approaches to common analytical questions with consistent methodology.

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Next Steps

Use Automations

Apply structured methodologies

Quickstart

Get started with Chat