From question to dashboard
A single question that triggers schema discovery, SQL, execution, visualization, and sharing.1
Ask the question
2
Schema search
The assistant searches for relevant tables and finds
crosschain.dex.trades. It checks documentation for best practices on stablecoin analysis.3
SQL generation and validation
EXPLAIN before asking you to confirm execution.4
Dashboard creation
After execution, the assistant:
- Creates a dashboard with an area chart showing stablecoin volume share over time
- Adds a summary table with total volume by issuer
- Makes the dashboard public and returns a share link
5
Result
Here’s your stablecoin market share dashboard for the last 90 days. Tether leads with 62% of volume, followed by Circle at 28%. Dashboard: app.allium.so/s2/abc123 Want me to share a summary on X?
Real-time portfolio analysis
Using real-time APIs (no SQL) to analyze a wallet’s holdings.1
Ask the question
2
Address resolution
The assistant resolves
vitalik.eth to 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 and looks up the address label to confirm it’s Vitalik Buterin’s wallet.3
Balance lookup
Calls the real-time wallet balances API to get current token holdings across chains - no SQL query needed.
4
Price enrichment
Fetches current token prices for all held tokens to calculate USD values and portfolio allocation.
5
Result
Vitalik Buterin’s Portfolio (Ethereum)Total value: ~$7.1M across 24 tokens Want me to check balances on other chains too?
Cross-chain comparison
Multi-chain analysis using SQL with schema discovery.1
Ask the question
2
Schema discovery
The assistant searches for gas-related schemas across multiple chains. It finds
<chain>.raw.transactions tables and documentation on gas calculation differences between L2s.3
Cross-chain SQL
Writes a
UNION ALL query across multiple L2 chains (Arbitrum, Optimism, Base, Polygon zkEVM, etc.), calculating average gas cost in USD per simple transfer.4
Result
Average gas cost per transfer (this month)Base is currently the cheapest for simple transfers at ~$0.001 avg. Want me to create a dashboard tracking this over time?
Building on previous context
A multi-turn conversation showing how the assistant builds on earlier work.1
Turn 1: Initial question
ethereum.dex.trades, writes SQL filtering for Uniswap, and returns daily active wallet counts.2
Turn 2: Refine
3
Turn 3: Expand scope
WHERE clause and grouping.4
Turn 4: Visualize
- Line chart of daily active wallets by DEX over time
- Stacked bar chart showing version breakdown for Uniswap
5
Turn 5: Share