Sat, Mar 21, 2026

Propagation anomalies - 2026-03-21

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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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 >= '2026-03-21' AND slot_start_date_time < '2026-03-21'::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: 7,183
MEV blocks: 6,565 (91.4%)
Local blocks: 618 (8.6%)

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 = 1757.7 + 13.84 × blob_count (R² = 0.006)
Residual σ = 612.6ms
Anomalies (>2σ slow): 402 (5.6%)
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
13939266 0 7241 1758 +5483 everstake Local Local
13936128 2 5352 1785 +3567 upbit Local Local
13937120 0 4681 1758 +2923 upbit Local Local
13936272 0 4674 1758 +2916 solo_stakers Local Local
13941440 6 4721 1841 +2880 upbit Local Local
13938976 0 4616 1758 +2858 upbit Local Local
13941441 2 4485 1785 +2700 stakefish_lido Local Local
13940512 0 4362 1758 +2604 stakefish Local Local
13936217 0 4031 1758 +2273 whale_0x8ebd Local Local
13935934 0 3992 1758 +2234 whale_0x33f7 0x88a53ec4... Aestus
13936129 0 3987 1758 +2229 kraken Local Local
13936506 0 3974 1758 +2216 coinbase Local Local
13936035 1 3986 1772 +2214 ether.fi 0xb26f9666... EthGas
13941504 0 3932 1758 +2174 stakefish Local Local
13936188 0 3748 1758 +1990 whale_0x8ebd 0x8527d16c... Ultra Sound
13936976 1 3751 1772 +1979 nethermind_lido 0x88857150... Ultra Sound
13936361 1 3687 1772 +1915 coinbase 0x823e0146... Agnostic Gnosis
13939940 4 3718 1813 +1905 solo_stakers Local Local
13938144 3 3703 1799 +1904 blockdaemon 0x850b00e0... BloXroute Regulated
13936180 5 3725 1827 +1898 luno 0xb26f9666... Titan Relay
13936003 0 3645 1758 +1887 everstake 0xb26f9666... Titan Relay
13938129 6 3717 1841 +1876 blockdaemon 0x8527d16c... Ultra Sound
13936963 0 3626 1758 +1868 blockdaemon_lido 0xb4ce6162... Ultra Sound
13936780 0 3624 1758 +1866 chainlayer_lido Local Local
13938400 1 3632 1772 +1860 nethermind_lido 0x856b0004... Aestus
13936011 6 3700 1841 +1859 everstake 0xb26f9666... Aestus
13937472 0 3609 1758 +1851 blockdaemon 0x8527d16c... Ultra Sound
13936374 5 3676 1827 +1849 everstake 0x82c466b9... Ultra Sound
13936784 4 3656 1813 +1843 revolut 0xb26f9666... Titan Relay
13936577 0 3600 1758 +1842 everstake 0xb26f9666... Titan Relay
13936453 0 3599 1758 +1841 chainlayer_lido Local Local
13935712 5 3655 1827 +1828 whale_0xdc8d 0xb26f9666... Titan Relay
13937664 6 3665 1841 +1824 blockdaemon 0x8db2a99d... BloXroute Regulated
13936403 1 3582 1772 +1810 everstake 0xb26f9666... Titan Relay
13936132 0 3561 1758 +1803 whale_0x8ebd Local Local
13936091 0 3560 1758 +1802 everstake 0x8527d16c... Ultra Sound
13937008 0 3542 1758 +1784 lido Local Local
13935717 18 3790 2007 +1783 stakefish Local Local
13936467 0 3539 1758 +1781 chainlayer_lido Local Local
13938331 4 3578 1813 +1765 chainlayer_lido Local Local
13936736 9 3647 1882 +1765 gateway.fmas_lido 0xb4ce6162... Ultra Sound
13937742 5 3583 1827 +1756 coinbase 0x88a53ec4... Aestus
13935680 0 3506 1758 +1748 blockdaemon_lido 0x88857150... Ultra Sound
13935942 3 3545 1799 +1746 everstake 0xb26f9666... Titan Relay
13938301 6 3583 1841 +1742 blockdaemon_lido 0xb26f9666... Titan Relay
13936777 1 3512 1772 +1740 everstake 0xb26f9666... Titan Relay
13936855 0 3496 1758 +1738 everstake 0xb26f9666... Titan Relay
13938062 0 3492 1758 +1734 blockdaemon 0x88857150... Ultra Sound
13939616 13 3668 1938 +1730 blockdaemon 0x823e0146... BloXroute Max Profit
13935844 0 3476 1758 +1718 chainlayer_lido Local Local
13942269 6 3557 1841 +1716 chainlayer_lido Local Local
13936143 5 3538 1827 +1711 p2porg 0xb26f9666... Titan Relay
13941024 6 3549 1841 +1708 blockdaemon_lido 0x855b00e6... BloXroute Max Profit
13940611 1 3478 1772 +1706 nethermind_lido 0x823e0146... Ultra Sound
13938789 0 3452 1758 +1694 chainlayer_lido Local Local
13941069 8 3561 1868 +1693 nethermind_lido 0x823e0146... Flashbots
13935963 1 3462 1772 +1690 kiln 0xb26f9666... Titan Relay
13941084 5 3493 1827 +1666 blockdaemon 0x88857150... Ultra Sound
13935642 0 3418 1758 +1660 whale_0x8ebd 0x85fb0503... BloXroute Max Profit
13938784 4 3467 1813 +1654 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13935995 6 3492 1841 +1651 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
13936194 1 3419 1772 +1647 kiln 0xb26f9666... Titan Relay
13936667 0 3404 1758 +1646 kiln 0xb26f9666... Titan Relay
13938023 0 3396 1758 +1638 blockdaemon_lido 0xb26f9666... Titan Relay
13939947 1 3409 1772 +1637 ether.fi 0xb67eaa5e... Titan Relay
13941797 0 3378 1758 +1620 nethermind_lido 0x8527d16c... Ultra Sound
13937848 5 3446 1827 +1619 luno 0x88a53ec4... BloXroute Regulated
13940366 1 3378 1772 +1606 blockdaemon 0x856b0004... BloXroute Max Profit
13942647 1 3370 1772 +1598 nethermind_lido 0x853b0078... Agnostic Gnosis
13940715 0 3355 1758 +1597 blockdaemon_lido 0xb26f9666... Titan Relay
13941552 0 3354 1758 +1596 nethermind_lido 0x88857150... Ultra Sound
13939872 6 3434 1841 +1593 stakingfacilities_lido 0xb67eaa5e... BloXroute Max Profit
13935755 0 3348 1758 +1590 nethermind_lido 0x8527d16c... Ultra Sound
13941643 0 3345 1758 +1587 blockdaemon_lido 0xb26f9666... Titan Relay
13941696 1 3354 1772 +1582 stader 0x88857150... Ultra Sound
13936429 5 3408 1827 +1581 whale_0x8ebd 0xb67eaa5e... BloXroute Regulated
13939072 2 3366 1785 +1581 p2porg 0x850b00e0... BloXroute Regulated
13939010 0 3334 1758 +1576 blockdaemon_lido 0xb26f9666... Titan Relay
13936410 1 3342 1772 +1570 whale_0x8ebd 0x85fb0503... BloXroute Max Profit
13936365 0 3328 1758 +1570 blockdaemon 0xb211df49... Ultra Sound
13941365 0 3328 1758 +1570 blockdaemon_lido 0xb67eaa5e... Titan Relay
13937032 0 3328 1758 +1570 kiln 0x88857150... Ultra Sound
13941549 6 3411 1841 +1570 blockdaemon 0xb67eaa5e... BloXroute Max Profit
13941720 4 3383 1813 +1570 lido 0x8527d16c... Ultra Sound
13940064 0 3326 1758 +1568 revolut 0xb26f9666... BloXroute Regulated
13941476 0 3326 1758 +1568 blockdaemon 0x850b00e0... BloXroute Regulated
13942317 0 3325 1758 +1567 p2porg 0xb4ce6162... Ultra Sound
13940095 0 3315 1758 +1557 blockdaemon_lido 0x823e0146... Titan Relay
13939036 0 3314 1758 +1556 blockdaemon 0x88a53ec4... BloXroute Max Profit
13942533 0 3314 1758 +1556 0x850b00e0... BloXroute Regulated
13937485 0 3314 1758 +1556 luno 0x850b00e0... BloXroute Regulated
13936245 2 3340 1785 +1555 kraken 0xb26f9666... EthGas
13940473 1 3321 1772 +1549 solo_stakers Local Local
13940995 5 3374 1827 +1547 luno 0x850b00e0... BloXroute Regulated
13937019 11 3454 1910 +1544 blockdaemon_lido 0x8db2a99d... BloXroute Max Profit
13939684 5 3370 1827 +1543 blockdaemon_lido 0xb4ce6162... Ultra Sound
13941398 0 3294 1758 +1536 lido 0xb26f9666... Titan Relay
13939629 1 3307 1772 +1535 blockdaemon 0xb67eaa5e... BloXroute Regulated
13936539 2 3317 1785 +1532 blockdaemon_lido 0x85fb0503... BloXroute Max Profit
13941845 1 3300 1772 +1528 blockdaemon 0xac23f8cc... BloXroute Regulated
13936115 5 3355 1827 +1528 staked.us 0xb26f9666... Titan Relay
13938888 5 3353 1827 +1526 blockdaemon 0x88857150... Ultra Sound
13938546 0 3283 1758 +1525 luno 0x8527d16c... Ultra Sound
13936068 10 3418 1896 +1522 whale_0xdc8d 0xb67eaa5e... BloXroute Regulated
13939093 8 3389 1868 +1521 blockdaemon 0xb67eaa5e... BloXroute Max Profit
13937401 4 3331 1813 +1518 luno 0x850b00e0... BloXroute Regulated
13936716 0 3275 1758 +1517 blockdaemon 0x855b00e6... Ultra Sound
13936103 14 3468 1951 +1517 0xb67eaa5e... BloXroute Regulated
13941304 1 3285 1772 +1513 luno 0x8527d16c... Ultra Sound
13939299 8 3379 1868 +1511 0x850b00e0... BloXroute Regulated
13940006 0 3267 1758 +1509 everstake 0xb67eaa5e... Aestus
13936030 1 3278 1772 +1506 blockdaemon_lido 0x88857150... Ultra Sound
13942392 1 3277 1772 +1505 blockdaemon 0x88857150... Ultra Sound
13938104 1 3276 1772 +1504 whale_0xdc8d 0xb67eaa5e... BloXroute Max Profit
13941753 1 3274 1772 +1502 blockdaemon_lido 0x82c466b9... Ultra Sound
13940732 5 3329 1827 +1502 whale_0xdc8d 0xb26f9666... BloXroute Regulated
13940623 6 3341 1841 +1500 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
13937473 5 3327 1827 +1500 blockdaemon_lido 0x88857150... Ultra Sound
13940851 1 3268 1772 +1496 whale_0x8ebd 0x8db2a99d... Ultra Sound
13937023 4 3309 1813 +1496 whale_0x8ebd 0x88a53ec4... BloXroute Regulated
13937851 0 3252 1758 +1494 blockdaemon 0x856b0004... Ultra Sound
13942315 6 3334 1841 +1493 blockdaemon 0xb67eaa5e... BloXroute Regulated
13938082 6 3333 1841 +1492 luno 0xb26f9666... Titan Relay
13940971 6 3333 1841 +1492 blockdaemon 0x855b00e6... BloXroute Max Profit
13941363 12 3413 1924 +1489 everstake 0xb26f9666... Aestus
13937663 0 3246 1758 +1488 blockdaemon_lido 0x8527d16c... Ultra Sound
13936590 3 3287 1799 +1488 coinbase 0x8db2a99d... BloXroute Max Profit
13936742 0 3245 1758 +1487 whale_0x8ebd 0x853b0078... Agnostic Gnosis
13942342 3 3282 1799 +1483 blockdaemon_lido 0x8527d16c... Ultra Sound
13935961 7 3337 1855 +1482 ether.fi Local Local
13938374 0 3238 1758 +1480 blockdaemon_lido 0x8527d16c... Ultra Sound
13939635 5 3305 1827 +1478 blockdaemon 0x856b0004... Ultra Sound
13938812 0 3235 1758 +1477 blockdaemon 0x88857150... Ultra Sound
13936071 9 3359 1882 +1477 0x853b0078... Aestus
13937645 5 3303 1827 +1476 figment 0x88857150... Ultra Sound
13936282 3 3274 1799 +1475 blockdaemon 0x823e0146... BloXroute Max Profit
13938512 5 3300 1827 +1473 blockdaemon 0x853b0078... Ultra Sound
13940276 0 3230 1758 +1472 blockdaemon 0x88857150... Ultra Sound
13940248 7 3326 1855 +1471 blockdaemon 0xb4ce6162... Ultra Sound
13936312 0 3227 1758 +1469 coinbase 0xb4ce6162... Ultra Sound
13937553 4 3282 1813 +1469 whale_0xdc8d 0xac23f8cc... BloXroute Regulated
13938882 8 3337 1868 +1469 whale_0xdc8d 0xb26f9666... Titan Relay
13941488 1 3239 1772 +1467 whale_0x8ebd 0x8527d16c... Ultra Sound
13940523 5 3292 1827 +1465 whale_0x8ebd 0x82c466b9... Flashbots
13937983 0 3220 1758 +1462 whale_0x8ebd 0x8db2a99d... Ultra Sound
13936600 0 3218 1758 +1460 stakingfacilities_lido 0xb67eaa5e... BloXroute Regulated
13941434 0 3215 1758 +1457 blockdaemon_lido 0x8527d16c... Ultra Sound
13936693 0 3215 1758 +1457 everstake 0xb26f9666... Aestus
13941650 1 3225 1772 +1453 whale_0x8ebd 0x8527d16c... Ultra Sound
13936411 1 3224 1772 +1452 coinbase 0x85fb0503... BloXroute Max Profit
13939270 2 3237 1785 +1452 whale_0x8ebd 0x8db2a99d... Ultra Sound
13938786 0 3209 1758 +1451 blockdaemon_lido 0xac23f8cc... Ultra Sound
13936771 6 3292 1841 +1451 everstake 0x853b0078... Aestus
13937479 1 3221 1772 +1449 revolut 0x8