Available Tables
Wormhole data is available in two main tables:- ez_metrics: Main aggregated metrics for the Wormhole protocol across all chains
- ez_metrics_by_chain: Cross-chain flow metrics showing inflow and outflow data broken down by individual blockchain
Table Schema
Bridge Activity Metrics
| Table Name | Column Name | Description |
|---|---|---|
| ez_metrics | bridge_dau | The number of daily active addresses on Wormhole |
| ez_metrics | bridge_txns | The number of transactions on the Wormhole bridge |
| ez_metrics | bridge_volume | The total volume bridged through Wormhole |
| ez_metrics | bridge_fees | The total fees collected by the Wormhole bridge |
Revenue Metrics
| Table Name | Column Name | Description |
|---|---|---|
| ez_metrics | fees | The total USD value generated by Wormhole from all user-paid fees |
| ez_metrics | fees | Total fees collected by the protocol (same as bridge_fees) |
Cross-Chain Flow Metrics
| Table Name | Column Name | Description |
|---|---|---|
| ez_metrics_by_chain | inflow | The amount (in USD) flowing into a specific chain |
| ez_metrics_by_chain | outflow | The amount (in USD) flowing out of a specific chain |
| ez_metrics_by_chain | chain | The blockchain identifier |
| ez_metrics_by_chain | app | Always ‘wormhole’ for consistency |
| ez_metrics_by_chain | category | Always ‘Bridge’ for consistency |
Token Supply Metrics
| Table Name | Column Name | Description |
|---|---|---|
| ez_metrics | circulating_supply_native | The circulating supply of W tokens in native units |
| ez_metrics | net_supply_change_native | The net change in the circulating supply of W tokens |
| ez_metrics | premine_unlocks_native | The amount of native W tokens unlocked from premine allocations |
Market and Token Metrics
| Table Name | Column Name | Description |
|---|---|---|
| ez_metrics | price | The price of W token in USD |
| ez_metrics | market_cap | The market cap of W token in USD |
| ez_metrics | fdmc | The fully diluted market cap of W token in USD |
| ez_metrics | token_volume | The trading volume of W token in USD |
| ez_metrics | token_turnover_circulating | The turnover of W token based on circulating supply |
| ez_metrics | token_turnover_fdv | The turnover of W token based on fully diluted supply |
Sample Queries
Basic Bridge Activity Query
-- Pull fundamental bridge activity data for Wormhole
SELECT
date,
bridge_txns,
bridge_dau,
bridge_volume,
bridge_fees,
fees,
price
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(month, -3, CURRENT_DATE())
ORDER BY
date ASC
Cross-Chain Flow Analysis
-- Analyze cross-chain flows by individual blockchain
SELECT
date,
chain,
inflow,
outflow,
(inflow - outflow) as net_flow,
inflow + outflow as total_volume
FROM
art_share.wormhole.ez_metrics_by_chain
WHERE
date >= DATEADD(month, -1, CURRENT_DATE())
ORDER BY
chain, date ASC
Chain Flow Comparison
-- Compare net flows across different chains
SELECT
chain,
SUM(inflow) as total_inflow,
SUM(outflow) as total_outflow,
SUM(inflow - outflow) as net_flow,
SUM(inflow + outflow) as total_volume
FROM
art_share.wormhole.ez_metrics_by_chain
WHERE
date >= DATEADD(month, -3, CURRENT_DATE())
GROUP BY
chain
ORDER BY
total_volume DESC
Bridge Usage Efficiency
-- Analyze bridge usage efficiency and fee structure
SELECT
date,
bridge_volume,
bridge_fees,
bridge_txns,
bridge_dau,
bridge_fees / NULLIF(bridge_volume, 0) * 100 as fee_percentage,
bridge_volume / NULLIF(bridge_txns, 0) as avg_volume_per_txn,
bridge_volume / NULLIF(bridge_dau, 0) as avg_volume_per_user
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(month, -2, CURRENT_DATE())
AND bridge_volume > 0
ORDER BY
date ASC
Token Supply Analysis
-- Track Wormhole token supply changes and unlocks
SELECT
date,
circulating_supply_native,
net_supply_change_native,
premine_unlocks_native,
price,
market_cap,
fdmc
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(month, -6, CURRENT_DATE())
ORDER BY
date ASC
Market Performance Analysis
-- Analyze Wormhole token market performance
SELECT
date,
price,
market_cap,
fdmc,
token_volume,
token_turnover_circulating,
token_turnover_fdv,
bridge_volume,
token_volume / NULLIF(bridge_volume, 0) * 100 as token_vs_bridge_volume_ratio
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(month, -3, CURRENT_DATE())
ORDER BY
date ASC
Daily Bridge Metrics Summary
-- Comprehensive daily bridge performance summary
SELECT
date,
bridge_dau,
bridge_txns,
bridge_volume,
bridge_fees,
fees,
bridge_txns / NULLIF(bridge_dau, 0) as txns_per_user,
bridge_fees / NULLIF(bridge_txns, 0) as avg_fee_per_txn
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(week, -4, CURRENT_DATE())
ORDER BY
date DESC
Top Chain Activity
-- Identify most active chains by volume over time
SELECT
date,
chain,
inflow + outflow as total_volume,
inflow,
outflow,
CASE
WHEN inflow > outflow THEN 'Net Inflow'
WHEN outflow > inflow THEN 'Net Outflow'
ELSE 'Balanced'
END as flow_direction
FROM
art_share.wormhole.ez_metrics_by_chain
WHERE
date >= DATEADD(week, -2, CURRENT_DATE())
ORDER BY
date DESC, total_volume DESC
Bridge Adoption Trends
-- Track bridge adoption and growth trends
SELECT
date,
bridge_dau,
bridge_txns,
bridge_volume,
LAG(bridge_dau, 7) OVER (ORDER BY date) as bridge_dau_7d_ago,
LAG(bridge_volume, 7) OVER (ORDER BY date) as bridge_volume_7d_ago,
(bridge_dau - LAG(bridge_dau, 7) OVER (ORDER BY date)) / NULLIF(LAG(bridge_dau, 7) OVER (ORDER BY date), 0) * 100 as dau_growth_7d,
(bridge_volume - LAG(bridge_volume, 7) OVER (ORDER BY date)) / NULLIF(LAG(bridge_volume, 7) OVER (ORDER BY date), 0) * 100 as volume_growth_7d
FROM
art_share.wormhole.ez_metrics
WHERE
date >= DATEADD(month, -2, CURRENT_DATE())
ORDER BY
date ASC
Chain Concentration Analysis
-- Analyze volume concentration across different chains
WITH chain_totals AS (
SELECT
chain,
SUM(inflow + outflow) as total_volume
FROM
art_share.wormhole.ez_metrics_by_chain
WHERE
date >= DATEADD(month, -1, CURRENT_DATE())
GROUP BY
chain
),
total_volume AS (
SELECT SUM(total_volume) as grand_total
FROM chain_totals
)
SELECT
ct.chain,
ct.total_volume,
ct.total_volume / tv.grand_total * 100 as volume_percentage,
SUM(ct.total_volume / tv.grand_total * 100) OVER (ORDER BY ct.total_volume DESC) as cumulative_percentage
FROM
chain_totals ct
CROSS JOIN
total_volume tv
ORDER BY
ct.total_volume DESC