Sat, May 2, 2026

Propagation anomalies - 2026-05-02

Detection of blocks that propagated slower than expected, attempting to find correlations with blob count.

Show code
display_sql("block_production_timeline", target_date)
View query
WITH
-- Base slots using proposer duty as the source of truth
slots AS (
    SELECT DISTINCT
        slot,
        slot_start_date_time,
        proposer_validator_index
    FROM canonical_beacon_proposer_duty
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
),

-- Proposer entity mapping
proposer_entity AS (
    SELECT
        index,
        entity
    FROM ethseer_validator_entity
    WHERE meta_network_name = 'mainnet'
),

-- Blob count per slot
blob_count AS (
    SELECT
        slot,
        uniq(blob_index) AS blob_count
    FROM canonical_beacon_blob_sidecar
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
    GROUP BY slot
),

-- Canonical block hash (to verify MEV payload was actually used)
canonical_block AS (
    SELECT DISTINCT
        slot,
        execution_payload_block_hash
    FROM canonical_beacon_block
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
),

-- MEV bid timing using timestamp_ms
mev_bids AS (
    SELECT
        slot,
        slot_start_date_time,
        min(timestamp_ms) AS first_bid_timestamp_ms,
        max(timestamp_ms) AS last_bid_timestamp_ms
    FROM mev_relay_bid_trace
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
    GROUP BY slot, slot_start_date_time
),

-- MEV payload delivery - join canonical block with delivered payloads
-- Note: Use is_mev flag because ClickHouse LEFT JOIN returns 0 (not NULL) for non-matching rows
-- Get value from proposer_payload_delivered (not bid_trace, which may not have the winning block)
mev_payload AS (
    SELECT
        cb.slot,
        cb.execution_payload_block_hash AS winning_block_hash,
        1 AS is_mev,
        max(pd.value) AS winning_bid_value,
        groupArray(DISTINCT pd.relay_name) AS relay_names,
        any(pd.builder_pubkey) AS winning_builder
    FROM canonical_block cb
    GLOBAL INNER JOIN mev_relay_proposer_payload_delivered pd
        ON cb.slot = pd.slot AND cb.execution_payload_block_hash = pd.block_hash
    WHERE pd.meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
    GROUP BY cb.slot, cb.execution_payload_block_hash
),

-- Winning bid timing from bid_trace (may not exist for all MEV blocks)
winning_bid AS (
    SELECT
        bt.slot,
        bt.slot_start_date_time,
        argMin(bt.timestamp_ms, bt.event_date_time) AS winning_bid_timestamp_ms
    FROM mev_relay_bid_trace bt
    GLOBAL INNER JOIN mev_payload mp ON bt.slot = mp.slot AND bt.block_hash = mp.winning_block_hash
    WHERE bt.meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
    GROUP BY bt.slot, bt.slot_start_date_time
),

-- Block gossip timing with spread
block_gossip AS (
    SELECT
        slot,
        min(event_date_time) AS block_first_seen,
        max(event_date_time) AS block_last_seen
    FROM libp2p_gossipsub_beacon_block
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
    GROUP BY slot
),

-- Column arrival timing: first arrival per column, then min/max of those
column_gossip AS (
    SELECT
        slot,
        min(first_seen) AS first_column_first_seen,
        max(first_seen) AS last_column_first_seen
    FROM (
        SELECT
            slot,
            column_index,
            min(event_date_time) AS first_seen
        FROM libp2p_gossipsub_data_column_sidecar
        WHERE meta_network_name = 'mainnet'
          AND slot_start_date_time >= '2026-05-02' AND slot_start_date_time < '2026-05-02'::date + INTERVAL 1 DAY
          AND event_date_time > '1970-01-01 00:00:01'
        GROUP BY slot, column_index
    )
    GROUP BY slot
)

SELECT
    s.slot AS slot,
    s.slot_start_date_time AS slot_start_date_time,
    pe.entity AS proposer_entity,

    -- Blob count
    coalesce(bc.blob_count, 0) AS blob_count,

    -- MEV bid timing (absolute and relative to slot start)
    fromUnixTimestamp64Milli(mb.first_bid_timestamp_ms) AS first_bid_at,
    mb.first_bid_timestamp_ms - toInt64(toUnixTimestamp(mb.slot_start_date_time)) * 1000 AS first_bid_ms,
    fromUnixTimestamp64Milli(mb.last_bid_timestamp_ms) AS last_bid_at,
    mb.last_bid_timestamp_ms - toInt64(toUnixTimestamp(mb.slot_start_date_time)) * 1000 AS last_bid_ms,

    -- Winning bid timing (from bid_trace, may be NULL if block hash not in bid_trace)
    if(wb.slot != 0, fromUnixTimestamp64Milli(wb.winning_bid_timestamp_ms), NULL) AS winning_bid_at,
    if(wb.slot != 0, wb.winning_bid_timestamp_ms - toInt64(toUnixTimestamp(s.slot_start_date_time)) * 1000, NULL) AS winning_bid_ms,

    -- MEV payload info (from proposer_payload_delivered, always present for MEV blocks)
    if(mp.is_mev = 1, mp.winning_bid_value, NULL) AS winning_bid_value,
    if(mp.is_mev = 1, mp.relay_names, []) AS winning_relays,
    if(mp.is_mev = 1, mp.winning_builder, NULL) AS winning_builder,

    -- Block gossip timing with spread
    bg.block_first_seen,
    dateDiff('millisecond', s.slot_start_date_time, bg.block_first_seen) AS block_first_seen_ms,
    bg.block_last_seen,
    dateDiff('millisecond', s.slot_start_date_time, bg.block_last_seen) AS block_last_seen_ms,
    dateDiff('millisecond', bg.block_first_seen, bg.block_last_seen) AS block_spread_ms,

    -- Column arrival timing (NULL when no blobs)
    if(coalesce(bc.blob_count, 0) = 0, NULL, cg.first_column_first_seen) AS first_column_first_seen,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', s.slot_start_date_time, cg.first_column_first_seen)) AS first_column_first_seen_ms,
    if(coalesce(bc.blob_count, 0) = 0, NULL, cg.last_column_first_seen) AS last_column_first_seen,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', s.slot_start_date_time, cg.last_column_first_seen)) AS last_column_first_seen_ms,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', cg.first_column_first_seen, cg.last_column_first_seen)) AS column_spread_ms

FROM slots s
GLOBAL LEFT JOIN proposer_entity pe ON s.proposer_validator_index = pe.index
GLOBAL LEFT JOIN blob_count bc ON s.slot = bc.slot
GLOBAL LEFT JOIN mev_bids mb ON s.slot = mb.slot
GLOBAL LEFT JOIN mev_payload mp ON s.slot = mp.slot
GLOBAL LEFT JOIN winning_bid wb ON s.slot = wb.slot
GLOBAL LEFT JOIN block_gossip bg ON s.slot = bg.slot
GLOBAL LEFT JOIN column_gossip cg ON s.slot = cg.slot

ORDER BY s.slot DESC
Show code
df = load_parquet("block_production_timeline", target_date)

# Filter to valid blocks (exclude missed slots)
df = df[df["block_first_seen_ms"].notna()]
df = df[(df["block_first_seen_ms"] >= 0) & (df["block_first_seen_ms"] < 60000)]

# Flag MEV vs local blocks
df["has_mev"] = df["winning_bid_value"].notna()
df["block_type"] = df["has_mev"].map({True: "MEV", False: "Local"})

# Get max blob count for charts
max_blobs = df["blob_count"].max()

print(f"Total valid blocks: {len(df):,}")
print(f"MEV blocks: {df['has_mev'].sum():,} ({df['has_mev'].mean()*100:.1f}%)")
print(f"Local blocks: {(~df['has_mev']).sum():,} ({(~df['has_mev']).mean()*100:.1f}%)")
Total valid blocks: 7,195
MEV blocks: 6,717 (93.4%)
Local blocks: 478 (6.6%)

Anomaly detection method

The method:

  1. Fit linear regression: block_first_seen_ms ~ blob_count
  2. Calculate residuals (actual - expected)
  3. Flag blocks with residuals > 2σ as anomalies

Points above the ±2σ band propagated slower than expected given their blob count.

Show code
# Conditional outliers: blocks slow relative to their blob count
df_anomaly = df.copy()

# Fit regression: block_first_seen_ms ~ blob_count
slope, intercept, r_value, p_value, std_err = stats.linregress(
    df_anomaly["blob_count"].astype(float), df_anomaly["block_first_seen_ms"]
)

# Calculate expected value and residual
df_anomaly["expected_ms"] = intercept + slope * df_anomaly["blob_count"].astype(float)
df_anomaly["residual_ms"] = df_anomaly["block_first_seen_ms"] - df_anomaly["expected_ms"]

# Calculate residual standard deviation
residual_std = df_anomaly["residual_ms"].std()

# Flag anomalies: residual > 2σ (unexpectedly slow)
df_anomaly["is_anomaly"] = df_anomaly["residual_ms"] > 2 * residual_std

n_anomalies = df_anomaly["is_anomaly"].sum()
pct_anomalies = n_anomalies / len(df_anomaly) * 100

# Prepare outliers dataframe
df_outliers = df_anomaly[df_anomaly["is_anomaly"]].copy()
df_outliers["relay"] = df_outliers["winning_relays"].apply(lambda x: x[0] if len(x) > 0 else "Local")
df_outliers["proposer"] = df_outliers["proposer_entity"].fillna("Unknown")
df_outliers["builder"] = df_outliers["winning_builder"].apply(
    lambda x: f"{x[:10]}..." if pd.notna(x) and x else "Local"
)

print(f"Regression: block_ms = {intercept:.1f} + {slope:.2f} × blob_count (R² = {r_value**2:.3f})")
print(f"Residual σ = {residual_std:.1f}ms")
print(f"Anomalies (>2σ slow): {n_anomalies:,} ({pct_anomalies:.1f}%)")
Regression: block_ms = 1683.2 + 15.63 × blob_count (R² = 0.007)
Residual σ = 596.5ms
Anomalies (>2σ slow): 586 (8.1%)
Show code
# Create scatter plot with regression band
x_range = np.array([0, int(max_blobs)])
y_pred = intercept + slope * x_range
y_upper = y_pred + 2 * residual_std
y_lower = y_pred - 2 * residual_std

fig = go.Figure()

# Add ±2σ band
fig.add_trace(go.Scatter(
    x=np.concatenate([x_range, x_range[::-1]]),
    y=np.concatenate([y_upper, y_lower[::-1]]),
    fill="toself",
    fillcolor="rgba(100,100,100,0.2)",
    line=dict(width=0),
    name="±2σ band",
    hoverinfo="skip",
))

# Add regression line
fig.add_trace(go.Scatter(
    x=x_range,
    y=y_pred,
    mode="lines",
    line=dict(color="white", width=2, dash="dash"),
    name="Expected",
))

# Normal points (sample to avoid overplotting)
df_normal = df_anomaly[~df_anomaly["is_anomaly"]]
if len(df_normal) > 2000:
    df_normal = df_normal.sample(2000, random_state=42)

fig.add_trace(go.Scatter(
    x=df_normal["blob_count"],
    y=df_normal["block_first_seen_ms"],
    mode="markers",
    marker=dict(size=4, color="rgba(100,150,200,0.4)"),
    name=f"Normal ({len(df_anomaly) - n_anomalies:,})",
    hoverinfo="skip",
))

# Anomaly points
fig.add_trace(go.Scatter(
    x=df_outliers["blob_count"],
    y=df_outliers["block_first_seen_ms"],
    mode="markers",
    marker=dict(
        size=7,
        color="#e74c3c",
        line=dict(width=1, color="white"),
    ),
    name=f"Anomalies ({n_anomalies:,})",
    customdata=np.column_stack([
        df_outliers["slot"],
        df_outliers["residual_ms"].round(0),
        df_outliers["relay"],
    ]),
    hovertemplate="<b>Slot %{customdata[0]}</b><br>Blobs: %{x}<br>Actual: %{y:.0f}ms<br>+%{customdata[1]}ms vs expected<br>Relay: %{customdata[2]}<extra></extra>",
))

fig.update_layout(
    margin=dict(l=60, r=30, t=30, b=60),
    xaxis=dict(title="Blob count", range=[-0.5, int(max_blobs) + 0.5]),
    yaxis=dict(title="Block first seen (ms from slot start)"),
    legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
    height=500,
)
fig.show(config={"responsive": True})

All propagation anomalies

Blocks that propagated much slower than expected given their blob count, sorted by residual (worst first).

Show code
# All anomalies table with selectable text and Lab links
if n_anomalies > 0:
    df_table = df_outliers.sort_values("residual_ms", ascending=False)[
        ["slot", "blob_count", "block_first_seen_ms", "expected_ms", "residual_ms", "proposer", "builder", "relay"]
    ].copy()
    df_table["block_first_seen_ms"] = df_table["block_first_seen_ms"].round(0).astype(int)
    df_table["expected_ms"] = df_table["expected_ms"].round(0).astype(int)
    df_table["residual_ms"] = df_table["residual_ms"].round(0).astype(int)
    
    # Build HTML table
    html = '''
    <style>
    .anomaly-table { border-collapse: collapse; width: 100%; font-family: monospace; font-size: 13px; }
    .anomaly-table th { background: #2c3e50; color: white; padding: 8px 12px; text-align: left; position: sticky; top: 0; }
    .anomaly-table td { padding: 6px 12px; border-bottom: 1px solid #eee; }
    .anomaly-table tr:hover { background: #f5f5f5; }
    .anomaly-table .num { text-align: right; }
    .anomaly-table .delta { background: #ffebee; color: #c62828; font-weight: bold; }
    .anomaly-table a { color: #1976d2; text-decoration: none; }
    .anomaly-table a:hover { text-decoration: underline; }
    .table-container { max-height: 600px; overflow-y: auto; }
    </style>
    <div class="table-container">
    <table class="anomaly-table">
    <thead>
    <tr><th>Slot</th><th class="num">Blobs</th><th class="num">Actual (ms)</th><th class="num">Expected (ms)</th><th class="num">Δ (ms)</th><th>Proposer</th><th>Builder</th><th>Relay</th></tr>
    </thead>
    <tbody>
    '''
    
    for _, row in df_table.iterrows():
        slot_link = f'<a href="https://lab.ethpandaops.io/ethereum/slots/{row["slot"]}" target="_blank">{row["slot"]}</a>'
        html += f'''<tr>
            <td>{slot_link}</td>
            <td class="num">{row["blob_count"]}</td>
            <td class="num">{row["block_first_seen_ms"]}</td>
            <td class="num">{row["expected_ms"]}</td>
            <td class="num delta">+{row["residual_ms"]}</td>
            <td>{row["proposer"]}</td>
            <td>{row["builder"]}</td>
            <td>{row["relay"]}</td>
        </tr>'''
    
    html += '</tbody></table></div>'
    display(HTML(html))
    print(f"\nTotal anomalies: {len(df_table):,}")
else:
    print("No anomalies detected.")
SlotBlobsActual (ms)Expected (ms)Δ (ms)ProposerBuilderRelay
14238474 0 7413 1683 +5730 rocketpool Local Local
14244007 0 6467 1683 +4784 solo_stakers Local Local
14241600 0 4956 1683 +3273 upbit Local Local
14242435 9 3762 1824 +1938 blockdaemon 0xb72cae2f... Ultra Sound
14245104 5 3684 1761 +1923 liquid_collective 0xb26f9666... Titan Relay
14244352 1 3576 1699 +1877 coinbase 0xb72cae2f... Ultra Sound
14239159 1 3533 1699 +1834 ether.fi 0x88857150... Ultra Sound
14241676 10 3657 1839 +1818 lido 0xb67eaa5e... Titan Relay
14241739 4 3539 1746 +1793 blockdaemon 0x8a850621... Titan Relay
14241696 1 3480 1699 +1781 bitstamp 0xb67eaa5e... BloXroute Max Profit
14245024 10 3615 1839 +1776 bitstamp 0xb67eaa5e... BloXroute Max Profit
14241504 1 3461 1699 +1762 gateway.fmas_lido 0x8db2a99d... BloXroute Max Profit
14240010 1 3458 1699 +1759 blockdaemon 0x8a850621... Titan Relay
14243623 1 3437 1699 +1738 blockdaemon 0x88857150... Ultra Sound
14241068 0 3417 1683 +1734 stakefish Local Local
14240744 0 3415 1683 +1732 blockdaemon 0x8a850621... Titan Relay
14243867 4 3475 1746 +1729 bloxstaking 0x8527d16c... Ultra Sound
14239321 0 3405 1683 +1722 lido 0x851b00b1... Flashbots
14243240 1 3419 1699 +1720 ether.fi 0xb67eaa5e... BloXroute Max Profit
14241133 0 3402 1683 +1719 blockdaemon 0x8527d16c... Ultra Sound
14243995 1 3408 1699 +1709 blockdaemon 0x8527d16c... Ultra Sound
14244693 5 3469 1761 +1708 nethermind_lido 0x853b0078... Ultra Sound
14242737 0 3390 1683 +1707 blockdaemon 0x8db2a99d... Ultra Sound
14244652 1 3403 1699 +1704 ether.fi Local Local
14241299 1 3398 1699 +1699 blockdaemon_lido 0xb67eaa5e... Titan Relay
14238312 2 3404 1714 +1690 luno 0x850b00e0... BloXroute Max Profit
14241751 0 3369 1683 +1686 0x88a53ec4... BloXroute Max Profit
14239849 3 3404 1730 +1674 blockdaemon_lido 0x8527d16c... Ultra Sound
14239143 5 3435 1761 +1674 blockdaemon 0x8a850621... Titan Relay
14242406 6 3450 1777 +1673 blockdaemon_lido 0x88857150... Ultra Sound
14238996 15 3590 1918 +1672 whale_0x8ebd 0x88a53ec4... BloXroute Max Profit
14240951 1 3371 1699 +1672 blockdaemon_lido 0x88857150... Ultra Sound
14239801 1 3367 1699 +1668 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14240450 1 3365 1699 +1666 p2porg 0x88857150... Ultra Sound
14239555 0 3348 1683 +1665 blockdaemon 0xb26f9666... Titan Relay
14239337 1 3355 1699 +1656 blockdaemon 0x88857150... Ultra Sound
14242168 3 3385 1730 +1655 blockdaemon_lido 0x88857150... Ultra Sound
14243985 1 3353 1699 +1654 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14243520 1 3351 1699 +1652 whale_0xedc6 0xb72cae2f... Ultra Sound
14238267 2 3364 1714 +1650 blockdaemon 0xb26f9666... Titan Relay
14241464 6 3426 1777 +1649 luno 0x8db2a99d... BloXroute Max Profit
14240560 3 3379 1730 +1649 blockdaemon 0x8db2a99d... Ultra Sound
14241105 1 3347 1699 +1648 ether.fi 0xb26f9666... Titan Relay
14241770 6 3423 1777 +1646 blockdaemon 0xb67eaa5e... Titan Relay
14244819 5 3407 1761 +1646 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14240506 3 3375 1730 +1645 blockdaemon 0x88a53ec4... BloXroute Regulated
14242224 0 3324 1683 +1641 blockdaemon_lido 0xb26f9666... Titan Relay
14243421 0 3323 1683 +1640 0xb26f9666... BloXroute Max Profit
14242983 5 3399 1761 +1638 blockdaemon_lido 0x823e0146... BloXroute Max Profit
14241038 8 3445 1808 +1637 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14239603 5 3395 1761 +1634 revolut 0x8db2a99d... BloXroute Max Profit
14241098 3 3363 1730 +1633 whale_0x8ebd 0xb26f9666... Titan Relay
14243359 11 3486 1855 +1631 blockdaemon 0x857b0038... Ultra Sound
14239979 0 3310 1683 +1627 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14243791 0 3309 1683 +1626 whale_0xdc8d 0x851b00b1... BloXroute Max Profit
14245123 1 3324 1699 +1625 luno 0xb26f9666... Titan Relay
14240695 0 3301 1683 +1618 blockdaemon 0x9129eeb4... Ultra Sound
14242823 8 3425 1808 +1617 blockdaemon 0x853b0078... BloXroute Max Profit
14240958 0 3298 1683 +1615 coinbase Local Local
14241280 6 3391 1777 +1614 p2porg 0x850b00e0... BloXroute Regulated
14238107 0 3294 1683 +1611 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
14242527 0 3293 1683 +1610 luno 0x88a53ec4... BloXroute Regulated
14243786 7 3402 1793 +1609 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14244991 5 3369 1761 +1608 ether.fi 0xb26f9666... Ultra Sound
14240709 1 3305 1699 +1606 luno 0x823e0146... BloXroute Max Profit
14242476 0 3288 1683 +1605 whale_0x6ddb 0x857b0038... BloXroute Max Profit
14240858 0 3287 1683 +1604 luno 0xb67eaa5e... BloXroute Max Profit
14241175 0 3286 1683 +1603 p2porg 0x88a53ec4... BloXroute Regulated
14240586 7 3393 1793 +1600 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14243149 0 3283 1683 +1600 ether.fi 0xa965c911... Ultra Sound
14243679 1 3298 1699 +1599 0x856b0004... BloXroute Max Profit
14240174 4 3342 1746 +1596 revolut 0xa965c911... Ultra Sound
14244320 3 3324 1730 +1594 coinbase 0x8db2a99d... BloXroute Max Profit
14239911 0 3277 1683 +1594 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14240525 5 3355 1761 +1594 whale_0xdc8d 0xb26f9666... Titan Relay
14243518 0 3275 1683 +1592 blockdaemon_lido 0x9129eeb4... Ultra Sound
14240117 2 3306 1714 +1592 revolut 0x88a53ec4... BloXroute Max Profit
14240233 0 3273 1683 +1590 kiln Local Local
14241931 5 3348 1761 +1587 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
14243533 6 3361 1777 +1584 blockdaemon 0xb26f9666... Titan Relay
14239036 3 3314 1730 +1584 whale_0x8ebd 0xb26f9666... BloXroute Max Profit
14239191 5 3345 1761 +1584 bitstamp 0xb67eaa5e... BloXroute Regulated
14244597 3 3312 1730 +1582 luno 0x856b0004... BloXroute Max Profit
14238115 0 3265 1683 +1582 p2porg 0xb67eaa5e... BloXroute Regulated
14240898 0 3265 1683 +1582 revolut 0xb67eaa5e... BloXroute Regulated
14241039 0 3265 1683 +1582 blockdaemon 0x8527d16c... Ultra Sound
14243349 1 3280 1699 +1581 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
14242343 6 3358 1777 +1581 whale_0xdc8d 0x8527d16c... Ultra Sound
14243857 0 3263 1683 +1580 blockdaemon 0x8527d16c... Ultra Sound
14244485 0 3263 1683 +1580 0x857b0038... BloXroute Max Profit
14244258 0 3262 1683 +1579 coinbase Local Local
14243766 5 3340 1761 +1579 luno 0x8db2a99d... Ultra Sound
14243184 11 3433 1855 +1578 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14242955 5 3339 1761 +1578 blockdaemon 0xb26f9666... Titan Relay
14239796 9 3400 1824 +1576 blockdaemon 0xb26f9666... Titan Relay
14239095 5 3328 1761 +1567 blockdaemon 0x8527d16c... Ultra Sound
14242154 2 3279 1714 +1565 luno 0x8527d16c... Ultra Sound
14238231 6 3337 1777 +1560 whale_0x8ebd Local Local
14243611 1 3257 1699 +1558 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14245140 5 3315 1761 +1554 blockdaemon_lido 0x88857150... Ultra Sound
14244171 7 3345 1793 +1552 blockdaemon_lido 0x8527d16c... Ultra Sound
14239998 6 3327 1777 +1550 bitstamp 0xb67eaa5e... BloXroute Regulated
14238138 1 3247 1699 +1548 blockdaemon 0xb26f9666... Titan Relay
14242636 0 3228 1683 +1545 blockdaemon_lido 0xb67eaa5e... Titan Relay
14243732 0 3227 1683 +1544 whale_0x8914 0x850b00e0... Ultra Sound
14243775 3 3273 1730 +1543 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14243689 0 3226 1683 +1543 luno 0x805e28e6... BloXroute Max Profit
14244334 2 3254 1714 +1540 0x850b00e0... Ultra Sound
14245179 9 3362 1824 +1538 blockdaemon 0x823e0146... BloXroute Max Profit
14243077 5 3298 1761 +1537 blockdaemon_lido 0xb67eaa5e... Titan Relay
14239285 0 3218 1683 +1535 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
14244242 5 3294 1761 +1533 blockdaemon 0xb26f9666... Titan Relay
14244784 0 3215 1683 +1532 blockdaemon 0x8db2a99d... BloXroute Max Profit
14242543 5 3292 1761 +1531 blockdaemon 0x853b0078... Ultra Sound
14240162 0 3212 1683 +1529 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14242287 3 3257 1730 +1527 solo_stakers 0x8db2a99d... Ultra Sound
14239561 0 3210 1683 +1527 blockdaemon_lido 0x851b00b1... BloXroute Max Profit
14242710 3 3256 1730 +1526 p2porg 0x857b0038... Titan Relay
14240459 0 3207 1683 +1524 blockdaemon_lido 0x851b00b1... BloXroute Max Profit
14240514 0 3207 1683 +1524 blockdaemon_lido 0xb26f9666... Titan Relay
14239083 6 3299 1777 +1522 whale_0xfd67 0xb67eaa5e... BloXroute Max Profit
14238027 17 3470 1949 +1521 blockdaemon_lido 0x8db2a99d... BloXroute Max Profit
14239080 2 3232 1714 +1518 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14240661 3 3247 1730 +1517 whale_0xfd67 0x88a53ec4... BloXroute Regulated
14244196</