Thu, Apr 23, 2026

Propagation anomalies - 2026-04-23

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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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 >= '2026-04-23' AND slot_start_date_time < '2026-04-23'::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: 7,190
MEV blocks: 6,906 (96.1%)
Local blocks: 284 (3.9%)

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 = 1680.2 + 17.71 × blob_count (R² = 0.010)
Residual σ = 602.7ms
Anomalies (>2σ slow): 532 (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
14174464 0 6324 1680 +4644 upbit Local Local
14176320 0 5948 1680 +4268 upbit Local Local
14179251 6 5573 1786 +3787 whale_0xba8f Local Local
14178403 0 4876 1680 +3196 whale_0x6395 Local Local
14178441 0 4276 1680 +2596 blockdaemon Local Local
14178661 0 4112 1680 +2432 blockdaemon Local Local
14178945 1 3925 1698 +2227 stader 0x857b0038... BloXroute Max Profit
14175941 6 3787 1786 +2001 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14177555 13 3907 1910 +1997 stakefish 0x857b0038... BloXroute Max Profit
14176329 0 3613 1680 +1933 0x8db2a99d... Flashbots
14176295 0 3579 1680 +1899 whale_0x8ebd 0x823e0146... Aestus
14177024 1 3584 1698 +1886 stakefish 0x8db2a99d... Aestus
14180226 1 3517 1698 +1819 blockdaemon_lido 0xb4ce6162... Ultra Sound
14177829 3 3548 1733 +1815 blockdaemon 0xb67eaa5e... BloXroute Regulated
14179428 1 3488 1698 +1790 blockdaemon_lido 0x857b0038... BloXroute Max Profit
14173408 5 3555 1769 +1786 blockdaemon_lido 0xb67eaa5e... Titan Relay
14179499 0 3460 1680 +1780 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14179758 2 3488 1716 +1772 lido 0x850b00e0... Flashbots
14179682 0 3440 1680 +1760 blockdaemon_lido 0x851b00b1... Ultra Sound
14180192 1 3457 1698 +1759 senseinode_lido 0x82c466b9... Flashbots
14177009 6 3537 1786 +1751 whale_0xdc8d 0xb26f9666... Titan Relay
14174048 6 3527 1786 +1741 revolut 0xb26f9666... Titan Relay
14179009 1 3432 1698 +1734 csm_operator115_lido 0x82c466b9... Flashbots
14175473 6 3517 1786 +1731 blockdaemon_lido 0x82c466b9... Ultra Sound
14177007 1 3417 1698 +1719 blockdaemon 0x850b00e0... BloXroute Max Profit
14176421 0 3392 1680 +1712 nethermind_lido 0x8db2a99d... Aestus
14173984 0 3375 1680 +1695 0x8527d16c... Ultra Sound
14173783 0 3372 1680 +1692 blockdaemon 0x857b0038... Ultra Sound
14177190 6 3477 1786 +1691 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14174131 6 3474 1786 +1688 blockdaemon 0x857b0038... BloXroute Regulated
14177354 0 3363 1680 +1683 blockdaemon 0xb67eaa5e... BloXroute Regulated
14176012 0 3362 1680 +1682 blockdaemon 0x857b0038... BloXroute Max Profit
14180396 0 3361 1680 +1681 luno 0x8527d16c... Ultra Sound
14176616 9 3519 1840 +1679 blockdaemon 0x8a850621... Titan Relay
14178080 8 3498 1822 +1676 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14177097 2 3391 1716 +1675 nethermind_lido 0xb26f9666... Aestus
14180210 1 3369 1698 +1671 0xb67eaa5e... BloXroute Regulated
14179737 3 3401 1733 +1668 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
14176926 1 3365 1698 +1667 blockdaemon_lido 0xb26f9666... Titan Relay
14176123 0 3341 1680 +1661 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
14176845 1 3357 1698 +1659 luno 0xb67eaa5e... BloXroute Max Profit
14179817 1 3355 1698 +1657 blockdaemon 0x857b0038... Ultra Sound
14177357 3 3390 1733 +1657 blockdaemon 0x8a850621... Titan Relay
14174198 8 3476 1822 +1654 blockdaemon_lido 0x8527d16c... Ultra Sound
14174159 4 3404 1751 +1653 blockdaemon_lido 0x850b00e0... Ultra Sound
14174759 0 3330 1680 +1650 0xb67eaa5e... BloXroute Regulated
14174391 3 3379 1733 +1646 ether.fi 0x88857150... Ultra Sound
14176621 7 3449 1804 +1645 blockdaemon 0x850b00e0... BloXroute Max Profit
14178583 2 3360 1716 +1644 blockdaemon 0xa965c911... Ultra Sound
14176554 0 3322 1680 +1642 blockdaemon 0x857b0038... BloXroute Max Profit
14179835 1 3335 1698 +1637 ether.fi 0x88a53ec4... BloXroute Max Profit
14173853 0 3317 1680 +1637 nethermind_lido 0x823e0146... BloXroute Max Profit
14179940 3 3370 1733 +1637 blockdaemon 0x857b0038... Ultra Sound
14179640 1 3331 1698 +1633 blockdaemon 0x857b0038... BloXroute Max Profit
14176972 4 3382 1751 +1631 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14179194 5 3399 1769 +1630 luno 0xb26f9666... Titan Relay
14173862 0 3307 1680 +1627 whale_0x8ebd 0x8db2a99d... Ultra Sound
14178476 0 3304 1680 +1624 blockdaemon 0x857b0038... Ultra Sound
14177245 10 3479 1857 +1622 blockdaemon_lido 0xb67eaa5e... Titan Relay
14178494 0 3300 1680 +1620 whale_0xdc8d 0x853b0078... Ultra Sound
14178455 5 3386 1769 +1617 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14178066 0 3296 1680 +1616 blockdaemon 0x8db2a99d... Ultra Sound
14173379 1 3313 1698 +1615 luno 0x853b0078... BloXroute Max Profit
14176644 5 3383 1769 +1614 blockdaemon 0x857b0038... BloXroute Max Profit
14176372 2 3325 1716 +1609 blockdaemon 0xb26f9666... Titan Relay
14178777 2 3321 1716 +1605 blockdaemon_lido 0xb26f9666... Titan Relay
14179868 5 3373 1769 +1604 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14175774 1 3302 1698 +1604 blockdaemon 0x856b0004... Ultra Sound
14175868 0 3280 1680 +1600 ether.fi 0x853b0078... BloXroute Max Profit
14174521 4 3348 1751 +1597 luno 0xb67eaa5e... BloXroute Max Profit
14179423 10 3454 1857 +1597 blockdaemon_lido 0x88a53ec4... BloXroute Regulated
14177072 1 3294 1698 +1596 0xb67eaa5e... BloXroute Regulated
14175417 0 3265 1680 +1585 ether.fi 0x823e0146... Flashbots
14179566 3 3316 1733 +1583 revolut 0xb67eaa5e... BloXroute Regulated
14175284 11 3457 1875 +1582 whale_0xdc8d 0xb26f9666... Titan Relay
14178537 0 3259 1680 +1579 blockdaemon 0x8db2a99d... Ultra Sound
14175467 6 3363 1786 +1577 0x856b0004... Ultra Sound
14176852 1 3274 1698 +1576 blockdaemon 0x82c466b9... BloXroute Regulated
14174129 11 3448 1875 +1573 0x8db2a99d... Ultra Sound
14179773 0 3253 1680 +1573 blockdaemon 0x851b00b1... BloXroute Max Profit
14175543 11 3445 1875 +1570 blockdaemon 0x8a850621... Titan Relay
14179726 5 3338 1769 +1569 blockdaemon_lido 0x850b00e0... Ultra Sound
14175310 6 3350 1786 +1564 blockdaemon 0xb26f9666... Titan Relay
14175160 0 3243 1680 +1563 blockdaemon_lido 0x850b00e0... Ultra Sound
14175683 5 3322 1769 +1553 blockdaemon 0xb26f9666... Titan Relay
14174144 0 3231 1680 +1551 whale_0xfd67 0x851b00b1... Ultra Sound
14177557 1 3248 1698 +1550 blockdaemon 0x88857150... Ultra Sound
14175562 1 3248 1698 +1550 blockdaemon_lido 0x88857150... Ultra Sound
14178499 7 3354 1804 +1550 luno 0x8527d16c... Ultra Sound
14180243 11 3424 1875 +1549 blockdaemon_lido 0x8db2a99d... Titan Relay
14179078 1 3241 1698 +1543 kiln 0x88a53ec4... BloXroute Regulated
14178559 3 3276 1733 +1543 blockdaemon 0xb26f9666... Titan Relay
14179607 0 3222 1680 +1542 whale_0xfd67 0x856b0004... Ultra Sound
14179679 1 3237 1698 +1539 whale_0xfd67 0xb67eaa5e... Titan Relay
14176575 7 3341 1804 +1537 whale_0xdc8d 0xb26f9666... Titan Relay
14174174 0 3213 1680 +1533 bitstamp 0xb67eaa5e... BloXroute Max Profit
14179621 0 3212 1680 +1532 whale_0xdc8d 0x82c466b9... BloXroute Regulated
14179735 0 3206 1680 +1526 whale_0x8914 0xb67eaa5e... Titan Relay
14176411 1 3219 1698 +1521 whale_0xdc8d 0x856b0004... BloXroute Max Profit
14177682 8 3342 1822 +1520 blockdaemon_lido 0x853b0078... Ultra Sound
14179067 5 3286 1769 +1517 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14174311 0 3196 1680 +1516 whale_0x8914 0x8527d16c... Ultra Sound
14176808 6 3302 1786 +1516 revolut 0xb26f9666... Titan Relay
14176630 7 3318 1804 +1514 blockdaemon_lido 0xb26f9666... Titan Relay
14179805 0 3193 1680 +1513 stader 0x8527d16c... Ultra Sound
14176330 3 3246 1733 +1513 blockdaemon_lido 0xb26f9666... Titan Relay
14179148 9 3352 1840 +1512 blockdaemon 0x853b0078... Ultra Sound
14180042 1 3209 1698 +1511 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14176723 0 3190 1680 +1510 blockdaemon 0xb26f9666... Titan Relay
14177409 6 3296 1786 +1510 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14174785 0 3189 1680 +1509 revolut 0xb26f9666... Titan Relay
14178088 5 3277 1769 +1508 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14178165 4 3258 1751 +1507 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14175186 8 3328 1822 +1506 ether.fi 0xb26f9666... Titan Relay
14174118 1 3201 1698 +1503 gateway.fmas_lido 0x8db2a99d... BloXroute Max Profit
14176092 10 3359 1857 +1502 blockdaemon_lido 0x850b00e0... BloXroute Max Profit
14178509 5 3269 1769 +1500 gateway.fmas_lido 0xb67eaa5e... BloXroute Regulated
14176672 3 3233 1733 +1500 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14173205 6 3285 1786 +1499 kiln 0xb67eaa5e... BloXroute Max Profit
14179884 6 3285 1786 +1499 blockdaemon_lido 0xb67eaa5e... Titan Relay
14178280 5 3265 1769 +1496 blockdaemon_lido 0x88a53ec4... BloXroute Regulated
14177341 5 3265 1769 +1496 blockdaemon_lido 0x850b00e0... Ultra Sound
14175064 0 3173 1680 +1493 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14178674 3 3225 1733 +1492 0xac23f8cc... Ultra Sound
14174371 4 3242 1751 +1491 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14179136 0 3166 1680 +1486 whale_0x8914 0x85fb0503... Ultra Sound
14173760 0 3165 1680 +1485 stakefish 0x88857150... Ultra Sound
14176011 7 3288 1804 +1484 revolut 0xb26f9666... Titan Relay
14179420 0 3161 1680 +1481 whale_0x8914 0xb67eaa5e... Titan Relay
14177692 5 3249 1769 +1480 gateway.fmas_lido 0x88a53ec4... BloXroute Regulated
14176000 0 3160 1680 +1480 figment 0x853b0078... BloXroute Max Profit
14176061 6 3266 1786 +1480 blockdaemon 0x88a53ec4... BloXroute Regulated
14177264