Skip to main content
These examples show how the assistant chains multiple tools together to answer complex questions. Each demonstrates a realistic workflow from question to final result.

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

The assistant validates this with 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

The assistant finds ethereum.dex.trades, writes SQL filtering for Uniswap, and returns daily active wallet counts.
2

Turn 2: Refine

The assistant modifies the previous query to add a version breakdown - no need to re-explain the context.
3

Turn 3: Expand scope

Expands the query to include multiple DEXes, adjusting the WHERE clause and grouping.
4

Turn 4: Visualize

Creates a dashboard with:
  • Line chart of daily active wallets by DEX over time
  • Stacked bar chart showing version breakdown for Uniswap
5

Turn 5: Share

Makes the dashboard public, generates a tweet with key insights and the dashboard link, and returns the X intent URL for you to review and post.