This schema contains comprehensive datasets for tracking Across Protocol fundamental data across multiple metrics categories, including cross-chain bridge activity, volume flows, user engagement, and market data for the optimistic bridge protocol.

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Available Tables

Across data is available in two main tables:
  • ez_metrics: Main aggregated metrics for the Across Protocol across all supported chains
  • ez_metrics_by_chain: Cross-chain flow metrics showing inflow and outflow data broken down by individual blockchain

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Table Schema

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Bridge Activity Metrics

Table NameColumn NameDescription
ez_metricsbridge_dauThe number of daily active addresses on Across
ez_metricsbridge_volumeThe total volume bridged through Across
ez_metricsappAlways ‘across’ for consistency
ez_metricscategoryAlways ‘Bridge’ for consistency

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Cross-Chain Flow Metrics

Table NameColumn NameDescription
ez_metrics_by_chaininflowThe amount (in USD) flowing into a specific chain
ez_metrics_by_chainoutflowThe amount (in USD) flowing out of a specific chain
ez_metrics_by_chainchainThe blockchain identifier
ez_metrics_by_chainappAlways ‘across’ for consistency
ez_metrics_by_chaincategoryAlways ‘Bridge’ for consistency

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Market and Token Metrics

Table NameColumn NameDescription
ez_metricspriceThe price of ACX token in USD
ez_metricsmarket_capThe market cap of ACX token in USD
ez_metricsfdmcThe fully diluted market cap of ACX token in USD
ez_metricstoken_volumeThe trading volume of ACX token in USD
ez_metricstoken_turnover_circulatingThe turnover of ACX token based on circulating supply
ez_metricstoken_turnover_fdvThe turnover of ACX token based on fully diluted supply

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Sample Queries

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Basic Bridge Activity Query

-- Pull fundamental bridge activity data for Across
SELECT
    date,
    bridge_dau,
    bridge_volume,
    price,
    market_cap,
    bridge_volume / NULLIF(bridge_dau, 0) as avg_volume_per_user
FROM
    art_share.across.ez_metrics
WHERE
    date >= DATEADD(month, -3, CURRENT_DATE())
ORDER BY
    date ASC

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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,
    CASE
        WHEN inflow > outflow THEN 'Net Inflow'
        WHEN outflow > inflow THEN 'Net Outflow'
        ELSE 'Balanced'
    END as flow_direction
FROM
    art_share.across.ez_metrics_by_chain
WHERE
    date >= DATEADD(month, -1, CURRENT_DATE())
ORDER BY
    chain, date ASC

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Chain Volume Comparison

-- Compare bridge volumes 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,
    AVG(inflow + outflow) as avg_daily_volume
FROM
    art_share.across.ez_metrics_by_chain
WHERE
    date >= DATEADD(month, -3, CURRENT_DATE())
GROUP BY
    chain
ORDER BY
    total_volume DESC

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Bridge Usage Efficiency

-- Analyze bridge usage efficiency and user behavior
SELECT
    date,
    bridge_volume,
    bridge_dau,
    bridge_volume / NULLIF(bridge_dau, 0) as avg_volume_per_user,
    LAG(bridge_dau, 7) OVER (ORDER BY date) as dau_7d_ago,
    LAG(bridge_volume, 7) OVER (ORDER BY date) as 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.across.ez_metrics
WHERE
    date >= DATEADD(month, -2, CURRENT_DATE())
ORDER BY
    date ASC

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Market Performance Analysis

-- Analyze ACX token market performance vs bridge activity
SELECT
    date,
    price,
    market_cap,
    fdmc,
    token_volume,
    token_turnover_circulating,
    bridge_volume,
    bridge_dau,
    token_volume / NULLIF(bridge_volume, 0) * 100 as token_vs_bridge_volume_ratio,
    market_cap / NULLIF(bridge_volume, 0) as mcap_to_bridge_volume_ratio
FROM
    art_share.across.ez_metrics
WHERE
    date >= DATEADD(month, -3, CURRENT_DATE())
ORDER BY
    date ASC

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Top Chain Activity

-- Identify most active chains by volume and flow patterns
SELECT
    date,
    chain,
    inflow + outflow as total_volume,
    inflow,
    outflow,
    ABS(inflow - outflow) as flow_imbalance,
    ABS(inflow - outflow) / NULLIF(inflow + outflow, 0) * 100 as imbalance_percentage
FROM
    art_share.across.ez_metrics_by_chain
WHERE
    date >= DATEADD(week, -2, CURRENT_DATE())
ORDER BY
    date DESC, total_volume DESC

-- Track bridge adoption and growth trends
SELECT
    date,
    bridge_dau,
    bridge_volume,
    price,
    -- 7-day moving averages
    AVG(bridge_dau) OVER (ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as avg_dau_7d,
    AVG(bridge_volume) OVER (ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as avg_volume_7d,
    -- 30-day moving averages
    AVG(bridge_dau) OVER (ORDER BY date ROWS BETWEEN 29 PRECEDING AND CURRENT ROW) as avg_dau_30d,
    AVG(bridge_volume) OVER (ORDER BY date ROWS BETWEEN 29 PRECEDING AND CURRENT ROW) as avg_volume_30d
FROM
    art_share.across.ez_metrics
WHERE
    date >= DATEADD(month, -3, CURRENT_DATE())
ORDER BY
    date ASC

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Chain Flow Balance Analysis

-- Analyze flow balance and concentration across chains
WITH daily_chain_metrics AS (
    SELECT
        date,
        chain,
        inflow + outflow as total_volume,
        inflow - outflow as net_flow
    FROM
        art_share.across.ez_metrics_by_chain
    WHERE
        date >= DATEADD(month, -1, CURRENT_DATE())
),
chain_rankings AS (
    SELECT
        date,
        chain,
        total_volume,
        net_flow,
        ROW_NUMBER() OVER (PARTITION BY date ORDER BY total_volume DESC) as volume_rank
    FROM
        daily_chain_metrics
)
SELECT
    date,
    chain,
    total_volume,
    net_flow,
    volume_rank,
    CASE
        WHEN volume_rank <= 3 THEN 'Top 3'
        WHEN volume_rank <= 5 THEN 'Top 5'
        ELSE 'Others'
    END as chain_tier
FROM
    chain_rankings
ORDER BY
    date DESC, volume_rank ASC

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Weekly Performance Summary

-- Weekly aggregated performance summary
SELECT
    DATE_TRUNC('week', date) as week,
    AVG(bridge_dau) as avg_daily_users,
    SUM(bridge_volume) as total_weekly_volume,
    AVG(bridge_volume) as avg_daily_volume,
    MAX(bridge_volume) as peak_daily_volume,
    AVG(price) as avg_token_price,
    SUM(token_volume) as total_token_volume
FROM
    art_share.across.ez_metrics
WHERE
    date >= DATEADD(month, -3, CURRENT_DATE())
GROUP BY
    DATE_TRUNC('week', date)
ORDER BY
    week DESC

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Cross-Chain Dominance Analysis

-- Analyze which chains dominate Across volume
WITH chain_totals AS (
    SELECT
        chain,
        SUM(inflow + outflow) as total_volume,
        AVG(inflow + outflow) as avg_daily_volume,
        COUNT(*) as active_days
    FROM
        art_share.across.ez_metrics_by_chain
    WHERE
        date >= DATEADD(month, -1, CURRENT_DATE())
        AND (inflow > 0 OR outflow > 0)
    GROUP BY
        chain
),
total_volume AS (
    SELECT SUM(total_volume) as grand_total
    FROM chain_totals
)
SELECT
    ct.chain,
    ct.total_volume,
    ct.avg_daily_volume,
    ct.active_days,
    ct.total_volume / tv.grand_total * 100 as volume_share_percentage,
    SUM(ct.total_volume / tv.grand_total * 100) OVER (ORDER BY ct.total_volume DESC) as cumulative_share
FROM
    chain_totals ct
CROSS JOIN
    total_volume tv
ORDER BY
    ct.total_volume DESC