Sat, Apr 18, 2026

Propagation anomalies - 2026-04-18

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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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 >= '2026-04-18' AND slot_start_date_time < '2026-04-18'::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: 6,782 (94.4%)
Local blocks: 405 (5.6%)

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 = 1670.7 + 16.89 × blob_count (R² = 0.009)
Residual σ = 591.0ms
Anomalies (>2σ slow): 588 (8.2%)
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
14142848 0 7992 1671 +6321 upbit Local Local
14142784 0 5867 1671 +4196 upbit Local Local
14142880 0 4995 1671 +3324 upbit Local Local
14139052 0 4653 1671 +2982 whale_0xba8f Local Local
14138031 0 4080 1671 +2409 whale_0x8ebd Local Local
14137280 0 3938 1671 +2267 whale_0xd5e9 Local Local
14142246 0 3831 1671 +2160 solo_stakers 0x8db2a99d... Ultra Sound
14137376 0 3781 1671 +2110 blockdaemon_lido Local Local
14142736 1 3793 1688 +2105 solo_stakers 0x850b00e0... BloXroute Regulated
14143849 1 3789 1688 +2101 solo_stakers 0x8db2a99d... Ultra Sound
14140562 1 3738 1688 +2050 0x857b0038... BloXroute Regulated
14142438 6 3770 1772 +1998 blockdaemon_lido 0x88857150... Ultra Sound
14141907 6 3728 1772 +1956 solo_stakers 0x857b0038... BloXroute Regulated
14144054 3 3615 1721 +1894 blockdaemon_lido 0x850b00e0... Ultra Sound
14138901 1 3561 1688 +1873 blockdaemon_lido 0x88857150... Ultra Sound
14143392 6 3642 1772 +1870 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
14144188 1 3511 1688 +1823 blockdaemon_lido 0x88857150... Ultra Sound
14143564 1 3498 1688 +1810 blockdaemon_lido 0x850b00e0... Ultra Sound
14142944 0 3470 1671 +1799 blockdaemon_lido 0xb7c5e609... BloXroute Max Profit
14138456 1 3485 1688 +1797 everstake 0xb26f9666... Titan Relay
14144135 15 3714 1924 +1790 luno 0x8527d16c... Ultra Sound
14138334 1 3462 1688 +1774 blockdaemon_lido 0x850b00e0... BloXroute Regulated
14139639 5 3528 1755 +1773 blockdaemon_lido 0x850b00e0... Ultra Sound
14137309 0 3442 1671 +1771 blockdaemon 0x8a850621... Titan Relay
14140357 1 3455 1688 +1767 blockdaemon_lido 0x850b00e0... Ultra Sound
14141700 6 3538 1772 +1766 xhash 0xb67eaa5e... BloXroute Regulated
14142561 6 3516 1772 +1744 blockdaemon_lido 0x850b00e0... Ultra Sound
14140543 0 3395 1671 +1724 ether.fi 0xb67eaa5e... Titan Relay
14144236 4 3462 1738 +1724 blockdaemon 0xb67eaa5e... BloXroute Regulated
14143189 2 3427 1705 +1722 ether.fi 0x8527d16c... Ultra Sound
14142170 1 3400 1688 +1712 blockdaemon 0x850b00e0... BloXroute Max Profit
14141350 5 3463 1755 +1708 blockdaemon 0x88857150... Ultra Sound
14139272 0 3378 1671 +1707 p2porg 0x851b00b1... Ultra Sound
14141248 0 3375 1671 +1704 piertwo 0x926b7905... Flashbots
14142382 0 3375 1671 +1704 whale_0x8914 0x8527d16c... Ultra Sound
14140363 7 3493 1789 +1704 blockdaemon 0x8527d16c... Ultra Sound
14140668 0 3372 1671 +1701 blockdaemon 0x8527d16c... Ultra Sound
14143230 1 3386 1688 +1698 nethermind_lido 0xb26f9666... Aestus
14141576 0 3368 1671 +1697 blockdaemon_lido 0x851b00b1... Ultra Sound
14138933 0 3349 1671 +1678 ether.fi 0xb26f9666... Titan Relay
14143712 10 3508 1840 +1668 gateway.fmas_lido 0xb67eaa5e... BloXroute Regulated
14137869 9 3490 1823 +1667 whale_0x8ebd 0x8527d16c... Ultra Sound
14141088 1 3337 1688 +1649 p2porg 0xb67eaa5e... BloXroute Max Profit
14142930 3 3370 1721 +1649 blockdaemon 0xb67eaa5e... BloXroute Regulated
14137895 2 3353 1705 +1648 ether.fi 0x85fb0503... BloXroute Max Profit
14140495 2 3349 1705 +1644 blockdaemon 0xb7c5e609... BloXroute Max Profit
14143755 6 3409 1772 +1637 blockdaemon 0x8a850621... Titan Relay
14138634 6 3406 1772 +1634 blockdaemon 0xb67eaa5e... BloXroute Regulated
14144033 5 3389 1755 +1634 blockdaemon 0x8527d16c... Ultra Sound
14138997 1 3321 1688 +1633 p2porg 0x857b0038... BloXroute Regulated
14139609 2 3337 1705 +1632 0xb26f9666... Titan Relay
14141777 0 3303 1671 +1632 blockdaemon 0x850b00e0... BloXroute Max Profit
14138753 1 3319 1688 +1631 blockdaemon_lido 0x88857150... Ultra Sound
14138737 0 3301 1671 +1630 blockdaemon 0x8a850621... Titan Relay
14140002 2 3332 1705 +1627 blockdaemon 0x88a53ec4... BloXroute Regulated
14143376 6 3399 1772 +1627 ether.fi Local Local
14138857 2 3330 1705 +1625 whale_0xdc8d 0x850b00e0... BloXroute Regulated
14139140 1 3313 1688 +1625 luno 0x9129eeb4... Ultra Sound
14142988 5 3380 1755 +1625 blockdaemon 0xb26f9666... Titan Relay
14138551 1 3311 1688 +1623 blockdaemon_lido 0x88857150... Ultra Sound
14139929 6 3392 1772 +1620 solo_stakers 0x850b00e0... BloXroute Regulated
14138929 0 3288 1671 +1617 blockdaemon_lido 0x8527d16c... Ultra Sound
14143774 0 3288 1671 +1617 blockdaemon 0x80ad903b... Ultra Sound
14144065 0 3286 1671 +1615 kiln 0xb26f9666... Aestus
14140661 3 3336 1721 +1615 blockdaemon_lido 0x8527d16c... Ultra Sound
14140786 1 3301 1688 +1613 coinbase 0x857b0038... BloXroute Max Profit
14141794 1 3297 1688 +1609 blockdaemon 0x8db2a99d... BloXroute Max Profit
14141837 0 3276 1671 +1605 whale_0xdc8d 0x853b0078... Ultra Sound
14142861 5 3360 1755 +1605 ether.fi 0xb26f9666... BloXroute Max Profit
14142355 5 3360 1755 +1605 whale_0xdc8d 0xb26f9666... Titan Relay
14143149 0 3275 1671 +1604 blockdaemon 0x8527d16c... Ultra Sound
14140065 1 3291 1688 +1603 0x8527d16c... Ultra Sound
14142227 0 3271 1671 +1600 blockdaemon 0xb26f9666... Titan Relay
14139577 5 3348 1755 +1593 blockdaemon 0x8527d16c... Ultra Sound
14142492 11 3443 1857 +1586 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14140262 5 3339 1755 +1584 ether.fi 0x853b0078... BloXroute Max Profit
14140393 2 3288 1705 +1583 blockdaemon 0x8527d16c... Ultra Sound
14143556 8 3389 1806 +1583 blockdaemon_lido 0xb26f9666... Titan Relay
14138472 0 3250 1671 +1579 whale_0x8914 0x857b0038... BloXroute Max Profit
14138978 1 3265 1688 +1577 blockdaemon 0xb26f9666... Titan Relay
14138548 12 3447 1873 +1574 blockdaemon_lido 0x850b00e0... BloXroute Regulated
14142028 2 3278 1705 +1573 whale_0x8ebd 0xb4ce6162... Ultra Sound
14143941 6 3345 1772 +1573 whale_0xdc8d 0xb67eaa5e... BloXroute Regulated
14137751 0 3238 1671 +1567 whale_0xfd67 0xb67eaa5e... Aestus
14141594 0 3237 1671 +1566 whale_0x8ebd 0x8db2a99d... Ultra Sound
14140996 6 3337 1772 +1565 blockdaemon_lido 0x853b0078... Ultra Sound
14138332 6 3335 1772 +1563 whale_0xdc8d 0x88a53ec4... BloXroute Regulated
14140280 5 3317 1755 +1562 binance 0xb67eaa5e... BloXroute Regulated
14138594 5 3317 1755 +1562 blockdaemon_lido 0x853b0078... BloXroute Max Profit
14143265 5 3316 1755 +1561 0xb26f9666... Titan Relay
14138466 1 3246 1688 +1558 whale_0x4b5e 0xb67eaa5e... Titan Relay
14141377 1 3245 1688 +1557 figment 0x8527d16c... Ultra Sound
14144355 3 3275 1721 +1554 revolut 0xb26f9666... Titan Relay
14139863 1 3238 1688 +1550 blockdaemon 0xb26f9666... Titan Relay
14142032 0 3221 1671 +1550 p2porg 0x8db2a99d... Ultra Sound
14137703 0 3220 1671 +1549 whale_0x75ff 0xb67eaa5e... Titan Relay
14141680 1 3232 1688 +1544 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14139650 0 3212 1671 +1541 blockdaemon 0x8527d16c... Ultra Sound
14139772 9 3359 1823 +1536 0x88a53ec4... BloXroute Regulated
14138401 5 3290 1755 +1535 whale_0xc611 0xb67eaa5e... Titan Relay
14141669 1 3222 1688 +1534 blockdaemon_lido 0x88857150... Ultra Sound
14139507 7 3322 1789 +1533 coinbase 0x88a53ec4... BloXroute Max Profit
14138798 4 3271 1738 +1533 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
14141040 6 3303 1772 +1531 blockdaemon_lido 0xb67eaa5e... Titan Relay
14137441 1 3218 1688 +1530 whale_0xc611 0xb67eaa5e... Titan Relay
14144134 0 3201 1671 +1530 gateway.fmas_lido 0xb3b03e65... Flashbots
14144037 5 3282 1755 +1527 whale_0x8ebd 0xb4ce6162... Ultra Sound
14140967 1 3213 1688 +1525 revolut 0xb26f9666... Titan Relay
14143769 7 3314 1789 +1525 blockdaemon_lido 0xb67eaa5e... Titan Relay
14143910 1 3212 1688 +1524 whale_0x8ebd 0xb67eaa5e... BloXroute Regulated
14139988 0 3191 1671 +1520 blockdaemon_lido 0xb26f9666... Titan Relay
14139817 5 3274 1755 +1519 p2porg 0x8527d16c... Ultra Sound
14140295 3 3235 1721 +1514 whale_0xfd67 0x88510a78... Titan Relay
14138971 3 3234 1721 +1513 blockdaemon 0x850b00e0... BloXroute Max Profit
14141543 0 3180 1671 +1509 whale_0xfd67 0xb67eaa5e... Titan Relay
14137522 0 3174 1671 +1503 revolut 0x850b00e0... BloXroute Regulated
14137643 0 3174 1671 +1503 gateway.fmas_lido 0x8527d16c... Ultra Sound
14137546 0 3172 1671 +1501 solo_stakers 0xb67eaa5e... Aestus
14139958 10 3340 1840 +1500 revolut 0x8db2a99d... BloXroute Regulated
14142304 1 3186 1688 +1498 gateway.fmas_lido 0x88857150... Ultra Sound
14137758 6 3270 1772 +1498 gateway.fmas_lido 0xb67eaa5e... BloXroute Regulated
14139662 7 3285 1789 +1496 figment 0x850b00e0... BloXroute Max Profit
14138603 0 3165 1671 +1494 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14142547 0 3165 1671 +1494 coinbase 0x823e0146... Aestus
14143137 0 3162 1671 +1491 whale_0xfd67 0xb67eaa5e... Titan Relay