Tue, May 5, 2026

Propagation anomalies - 2026-05-05

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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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 >= '2026-05-05' AND slot_start_date_time < '2026-05-05'::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: 7,187
MEV blocks: 6,722 (93.5%)
Local blocks: 465 (6.5%)

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 = 1677.9 + 19.33 × blob_count (R² = 0.013)
Residual σ = 611.2ms
Anomalies (>2σ slow): 529 (7.4%)
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
14261330 0 9926 1678 +8248 abyss_finance Local Local
14262490 7 8225 1813 +6412 solo_stakers Local Local
14262560 0 7502 1678 +5824 rocketpool Local Local
14264736 0 6578 1678 +4900 upbit Local Local
14263936 0 5246 1678 +3568 upbit Local Local
14259744 0 5197 1678 +3519 upbit Local Local
14265129 1 4275 1697 +2578 abyss_finance Local Local
14264099 0 4228 1678 +2550 revolut Local Local
14264455 0 4196 1678 +2518 whale_0x8ebd Local Local
14263967 7 3843 1813 +2030 whale_0x8ebd Local Local
14260680 6 3768 1794 +1974 whale_0x8ebd 0x857b0038... BloXroute Max Profit
14263075 0 3567 1678 +1889 blockdaemon 0xb4ce6162... Ultra Sound
14264064 5 3653 1775 +1878 blockdaemon 0x88a53ec4... BloXroute Regulated
14266022 0 3515 1678 +1837 everstake 0x857b0038... BloXroute Max Profit
14264983 1 3501 1697 +1804 blockdaemon 0x8a850621... Titan Relay
14261923 7 3599 1813 +1786 ether.fi 0x88857150... Ultra Sound
14263393 0 3445 1678 +1767 blockdaemon 0xb4ce6162... Ultra Sound
14262536 5 3541 1775 +1766 kiln 0x857b0038... BloXroute Max Profit
14265350 0 3430 1678 +1752 blockdaemon 0xb4ce6162... Ultra Sound
14260938 9 3596 1852 +1744 whale_0xdc8d 0x8527d16c... Ultra Sound
14264572 0 3413 1678 +1735 blockdaemon 0xb4ce6162... Ultra Sound
14262821 1 3428 1697 +1731 blockdaemon 0xb4ce6162... Ultra Sound
14264805 2 3437 1717 +1720 blockdaemon 0x8a850621... Titan Relay
14261625 8 3548 1833 +1715 luno 0x88a53ec4... BloXroute Regulated
14261914 3 3440 1736 +1704 blockdaemon 0x8a850621... Titan Relay
14263910 8 3535 1833 +1702 coinbase 0x857b0038... BloXroute Max Profit
14260456 0 3380 1678 +1702 blockdaemon 0x88a53ec4... BloXroute Regulated
14263593 1 3394 1697 +1697 blockdaemon 0x88a53ec4... BloXroute Max Profit
14265423 0 3369 1678 +1691 luno 0x851b00b1... BloXroute Max Profit
14264956 1 3388 1697 +1691 blockdaemon 0x8a850621... Titan Relay
14264758 1 3378 1697 +1681 blockdaemon 0x88857150... Ultra Sound
14266669 3 3416 1736 +1680 blockdaemon 0x88857150... Ultra Sound
14264042 0 3350 1678 +1672 blockdaemon 0x8527d16c... Ultra Sound
14266273 0 3345 1678 +1667 blockdaemon_lido 0xb67eaa5e... Ultra Sound
14264355 9 3510 1852 +1658 blockdaemon 0x8a850621... Titan Relay
14263044 0 3336 1678 +1658 luno 0xb26f9666... Titan Relay
14259631 2 3373 1717 +1656 blockdaemon_lido 0x8db2a99d... BloXroute Max Profit
14266370 5 3423 1775 +1648 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14264735 5 3423 1775 +1648 ether.fi 0x88a53ec4... BloXroute Max Profit
14264426 5 3416 1775 +1641 blockdaemon_lido 0x8527d16c... Ultra Sound
14261997 1 3337 1697 +1640 p2porg 0x857b0038... BloXroute Regulated
14261907 2 3347 1717 +1630 0xb67eaa5e... BloXroute Regulated
14265396 0 3307 1678 +1629 luno 0x8527d16c... Ultra Sound
14260939 0 3307 1678 +1629 blockdaemon_lido 0x88857150... Ultra Sound
14265207 0 3302 1678 +1624 whale_0x8914 0x851b00b1... Ultra Sound
14259771 1 3318 1697 +1621 blockdaemon 0x8a850621... Titan Relay
14261226 5 3395 1775 +1620 blockdaemon 0xb67eaa5e... BloXroute Regulated
14260661 3 3353 1736 +1617 solo_stakers 0xb7c5e609... BloXroute Max Profit
14262776 8 3448 1833 +1615 0x8527d16c... Ultra Sound
14261530 1 3310 1697 +1613 blockdaemon_lido 0x823e0146... Titan Relay
14262356 8 3444 1833 +1611 whale_0xdc8d 0xb67eaa5e... BloXroute Max Profit
14260250 7 3422 1813 +1609 nethermind_lido 0x823e0146... BloXroute Max Profit
14261388 5 3383 1775 +1608 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14261413 0 3286 1678 +1608 revolut 0x88a53ec4... BloXroute Max Profit
14260136 13 3534 1929 +1605 blockdaemon 0x88a53ec4... BloXroute Max Profit
14266105 6 3396 1794 +1602 whale_0xdc8d 0x88a53ec4... BloXroute Regulated
14266313 0 3280 1678 +1602 luno 0xb67eaa5e... BloXroute Regulated
14262067 4 3355 1755 +1600 revolut 0xb67eaa5e... BloXroute Max Profit
14264943 5 3374 1775 +1599 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14262789 2 3315 1717 +1598 ether.fi 0xb26f9666... BloXroute Max Profit
14260988 0 3276 1678 +1598 blockdaemon 0xb67eaa5e... BloXroute Regulated
14260223 0 3276 1678 +1598 p2porg 0x850b00e0... Ultra Sound
14265298 0 3272 1678 +1594 luno 0x8db2a99d... BloXroute Regulated
14260972 6 3387 1794 +1593 revolut 0x88a53ec4... BloXroute Regulated
14263691 4 3346 1755 +1591 blockdaemon_lido 0xb26f9666... Titan Relay
14262946 0 3263 1678 +1585 blockdaemon 0x88857150... Ultra Sound
14260137 0 3263 1678 +1585 blockdaemon_lido 0x851b00b1... Ultra Sound
14264019 0 3262 1678 +1584 0x8527d16c... Ultra Sound
14262435 4 3339 1755 +1584 luno 0xb26f9666... Titan Relay
14265686 1 3280 1697 +1583 blockdaemon_lido 0x88857150... Ultra Sound
14261528 2 3299 1717 +1582 p2porg 0x88a53ec4... BloXroute Regulated
14265105 7 3395 1813 +1582 coinbase 0x857b0038... BloXroute Max Profit
14265496 2 3298 1717 +1581 blockdaemon 0x8a850621... Titan Relay
14260462 0 3259 1678 +1581 whale_0xdc8d 0xb67eaa5e... BloXroute Regulated
14262566 0 3256 1678 +1578 whale_0xdc8d 0x8527d16c... Ultra Sound
14261816 4 3333 1755 +1578 figment 0x88857150... Ultra Sound
14265403 5 3350 1775 +1575 blockdaemon_lido 0x88857150... Ultra Sound
14261127 2 3292 1717 +1575 blockdaemon_lido 0x8527d16c... Ultra Sound
14265080 0 3250 1678 +1572 blockdaemon 0x823e0146... BloXroute Max Profit
14261510 5 3343 1775 +1568 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
14260192 8 3396 1833 +1563 0xb67eaa5e... BloXroute Max Profit
14261249 3 3298 1736 +1562 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14260687 6 3351 1794 +1557 whale_0x8914 0xa965c911... Ultra Sound
14262329 5 3329 1775 +1554 whale_0xdc8d 0x8db2a99d... BloXroute Max Profit
14259981 2 3270 1717 +1553 solo_stakers 0xb4ce6162... Ultra Sound
14266248 4 3308 1755 +1553 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
14263765 0 3230 1678 +1552 luno 0x8527d16c... Ultra Sound
14264457 2 3267 1717 +1550 whale_0xdc8d 0x853b0078... BloXroute Max Profit
14266751 8 3381 1833 +1548 revolut 0x856b0004... BloXroute Max Profit
14261493 2 3264 1717 +1547 blockdaemon 0x9129eeb4... Ultra Sound
14266443 11 3436 1891 +1545 nethermind_lido 0x8527d16c... Ultra Sound
14266470 2 3256 1717 +1539 blockdaemon_lido 0x88857150... Ultra Sound
14264878 0 3214 1678 +1536 whale_0x8ebd Local Local
14264516 8 3367 1833 +1534 whale_0xdc8d 0xb26f9666... Titan Relay
14262919 0 3212 1678 +1534 whale_0xf273 0x851b00b1... Ultra Sound
14264373 2 3250 1717 +1533 blockdaemon_lido 0xb67eaa5e... Titan Relay
14261214 0 3211 1678 +1533 p2porg 0xa965c911... Ultra Sound
14265004 6 3323 1794 +1529 p2porg 0x850b00e0... Ultra Sound
14259911 5 3301 1775 +1526 blockdaemon_lido 0xb26f9666... Titan Relay
14262982 15 3494 1968 +1526 coinbase 0xb67eaa5e... BloXroute Max Profit
14264973 1 3223 1697 +1526 blockdaemon 0xb26f9666... Titan Relay
14262969 7 3338 1813 +1525 whale_0xdc8d 0x856b0004... BloXroute Max Profit
14262366 0 3202 1678 +1524 luno 0x805e28e6... BloXroute Max Profit
14263152 0 3202 1678 +1524 p2porg 0x850b00e0... BloXroute Regulated
14261570 8 3356 1833 +1523 revolut 0x850b00e0... BloXroute Max Profit
14261106 0 3201 1678 +1523 revolut 0x8db2a99d... BloXroute Max Profit
14266148 0 3201 1678 +1523 blockdaemon 0xb26f9666... Titan Relay
14262082 5 3297 1775 +1522 luno 0x8527d16c... Ultra Sound
14260644 5 3296 1775 +1521 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14261137 0 3196 1678 +1518 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14264318 0 3195 1678 +1517 gateway.fmas_lido 0x8db2a99d... BloXroute Max Profit
14264143 0 3195 1678 +1517 whale_0x8914 0x851b00b1... Ultra Sound
14265735 9 3367 1852 +1515 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14262136 0 3191 1678 +1513 whale_0xfd67 0x99cba505... BloXroute Max Profit
14263116 1 3210 1697 +1513 revolut 0x8527d16c... Ultra Sound
14263001 1 3210 1697 +1513 revolut 0xb26f9666... Titan Relay
14261136 0 3186 1678 +1508 gateway.fmas_lido 0xb67eaa5e... BloXroute Regulated
14260498 2 3222 1717 +1505 whale_0x6ddb 0x88a53ec4... BloXroute Max Profit
14261128 6 3299 1794 +1505 gateway.fmas_lido 0xb67eaa5e... BloXroute Regulated
14264824 1 3202 1697 +1505 whale_0x8ebd 0xb67eaa5e... BloXroute Regulated
14264075 6 3297 1794 +1503 coinbase 0x857b0038... BloXroute Regulated
14263741 5 3277 1775 +1502 whale_0x8ebd 0x88a53ec4... BloXroute Regulated
14264719 0 3180 1678 +1502 revolut 0xb26f9666... Titan Relay
14263507 15 3467 1968 +1499 whale_0x8ebd 0x88a53ec4... BloXroute Max Profit
14265693 1 3192 1697 +1495 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14260293 5 3269 1775 +1494 blockdaemon_lido 0x8527d16c... Ultra Sound
14259888 4 3249 1755 +1494 whale_0x75ff 0x88857150... Ultra Sound
14263641 3 3229 1736 +1493 gateway.fmas_lido 0xb26f9666... Ultra Sound
14265674 6 3286 1794 +1492 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14259939 5 3261 1775 +1486 blockdaemon 0x88a53ec4... BloXroute Max Profit
14261148 2 3202 1717 +1485 whale_0x8914 0xb67eaa5e... BloXroute Max Profit
14265379 4 3240 1755 +1485 coinbase 0