diff --git a/Cargo.lock b/Cargo.lock
index cd972a5..236f464 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1208,6 +1208,27 @@ version = "0.4.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "382ce8820a5bb815055d3553a610e8cb542b2d767bbacea99038afda96cd760d"
 
+[[package]]
+name = "csv"
+version = "1.3.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ac574ff4d437a7b5ad237ef331c17ccca63c46479e5b5453eb8e10bb99a759fe"
+dependencies = [
+ "csv-core",
+ "itoa",
+ "ryu",
+ "serde",
+]
+
+[[package]]
+name = "csv-core"
+version = "0.1.11"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5efa2b3d7902f4b634a20cae3c9c4e6209dc4779feb6863329607560143efa70"
+dependencies = [
+ "memchr",
+]
+
 [[package]]
 name = "ctr"
 version = "0.9.2"
@@ -4897,6 +4918,7 @@ version = "0.1.0"
 dependencies = [
  "async-trait",
  "clap",
+ "csv",
  "env_logger",
  "fastcrypto",
  "futures",
diff --git a/simple-listener/Cargo.toml b/simple-listener/Cargo.toml
index 1c4afee..b3534d9 100644
--- a/simple-listener/Cargo.toml
+++ b/simple-listener/Cargo.toml
@@ -18,6 +18,7 @@ roaring.workspace = true
 env_logger = "0.10.0"
 log = "0.4"
 hex = "*"
+csv = "1.3.0"
 
 [target.'cfg(not(target_env = "msvc"))'.build-dependencies]
 protobuf-src.workspace = true
diff --git a/simple-listener/src/main.rs b/simple-listener/src/main.rs
index 9deba6b..3e3ba4c 100644
--- a/simple-listener/src/main.rs
+++ b/simple-listener/src/main.rs
@@ -1,4 +1,5 @@
 use clap::Parser;
+use std::fs::File;
 use std::time::Duration;
 use tokio::time::sleep;
 use tonic::transport::Channel;
@@ -21,6 +22,9 @@ struct Args {
     /// Subdag id from which to receive updates
     #[arg(short, long, default_value_t = 0)]
     from_id: u64,
+    /// Path to csv file to store transaction stats
+    #[arg(short, long)]
+    tx_output: Option<String>,
 }
 
 #[tokio::main]
@@ -32,7 +36,7 @@ async fn main() {
         match connect(args.endpoint.clone()).await {
             Ok(client) => {
                 info!("Connected. Exporting subdags from #{}...", args.from_id);
-                match export(client, args.from_id).await {
+                match export(client, args.from_id, args.tx_output.clone()).await {
                     Ok(_) => {
                         info!("Exit");
                         break;
@@ -57,10 +61,20 @@ async fn connect(endpoint: String) -> Result<ExporterClient<Channel>, tonic::tra
 async fn export(
     mut client: ExporterClient<Channel>,
     from_id: u64,
+    tx_output: Option<String>,
 ) -> Result<(), Box<dyn std::error::Error>> {
     let mut stream = client.export(ExportRequest { from_id }).await?.into_inner();
 
+    let mut tx_writer = match tx_output {
+        Some(path) => Some(csv::Writer::from_path(path).unwrap()),
+        None => None,
+    };
+
     while let Some(subdag) = stream.message().await? {
+        if let Some(ref mut writer) = tx_writer {
+            write_tx_stats(&subdag, writer);
+        }
+
         let stats = stats(&subdag);
         if stats.num_txs > 0 {
             info!(
@@ -133,3 +147,33 @@ fn stats(subdag: &SubDag) -> Stats {
         cert_round_delta: last_cert_round - first_cert_round,
     }
 }
+
+fn write_tx_stats(subdag: &SubDag, writer: &mut csv::Writer<File>) {
+    let received_at = SystemTime::now().duration_since(UNIX_EPOCH).unwrap().as_millis();
+    let first_cert_round = subdag.certificates[0].clone().header.unwrap().round;
+    let last_cert_round = subdag.leader.clone().unwrap().header.unwrap().round;
+    let num_rounds = last_cert_round - first_cert_round + 1;
+    let num_blocks = subdag.payloads.len();
+
+    for payload in subdag.payloads.iter() {
+        for batch in payload.batches.iter() {
+            for tx in batch.transactions.iter() {
+                let tx_time_bytes: [u8; 16] = match tx.get(0..16) {
+                    Some(value) => value.try_into().unwrap(),
+                    None => {
+                        warn!("Foreign transaction {}", hex::encode(tx));
+                        continue
+                    }
+                };
+                let tx_time = u128::from_be_bytes(tx_time_bytes);
+
+                writer.write_field(tx_time.to_string()).unwrap();
+                writer.write_field(received_at.to_string()).unwrap();
+                writer.write_field(tx.len().to_string()).unwrap();
+                writer.write_field(num_rounds.to_string()).unwrap();
+                writer.write_field(num_blocks.to_string()).unwrap();
+                writer.write_record(None::<&[u8]>).unwrap();
+            }
+        }
+    }
+}
diff --git a/simple-listener/tests/e2e_latency.ipynb b/simple-listener/tests/e2e_latency.ipynb
new file mode 100644
index 0000000..4dab501
--- /dev/null
+++ b/simple-listener/tests/e2e_latency.ipynb
@@ -0,0 +1,548 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "a5c8f26d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import cufflinks as cf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b49f01eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-2.6.3.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cf.go_offline()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "5001b13e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('./txs.csv', names=['send_ts', 'recv_ts', 'size', 'round', 'leader_round'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "e88d0eba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>send_ts</th>\n",
+       "      <th>recv_ts</th>\n",
+       "      <th>size</th>\n",
+       "      <th>round</th>\n",
+       "      <th>leader_round</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1705082094615</td>\n",
+       "      <td>1705082096603</td>\n",
+       "      <td>11978</td>\n",
+       "      <td>514917</td>\n",
+       "      <td>514920</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1705082095268</td>\n",
+       "      <td>1705082097617</td>\n",
+       "      <td>4819</td>\n",
+       "      <td>514919</td>\n",
+       "      <td>514922</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1705082095797</td>\n",
+       "      <td>1705082097617</td>\n",
+       "      <td>29457</td>\n",
+       "      <td>514919</td>\n",
+       "      <td>514922</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1705082096392</td>\n",
+       "      <td>1705082099285</td>\n",
+       "      <td>13347</td>\n",
+       "      <td>514923</td>\n",
+       "      <td>514926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1705082097017</td>\n",
+       "      <td>1705082099285</td>\n",
+       "      <td>10755</td>\n",
+       "      <td>514923</td>\n",
+       "      <td>514926</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         send_ts        recv_ts   size   round  leader_round\n",
+       "0  1705082094615  1705082096603  11978  514917        514920\n",
+       "1  1705082095268  1705082097617   4819  514919        514922\n",
+       "2  1705082095797  1705082097617  29457  514919        514922\n",
+       "3  1705082096392  1705082099285  13347  514923        514926\n",
+       "4  1705082097017  1705082099285  10755  514923        514926"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "5e34d527",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['trip_time'] = df['recv_ts'] - df['send_ts']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "b4d73e58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count     782.000000\n",
+       "mean     2403.187980\n",
+       "std       809.669397\n",
+       "min      1195.000000\n",
+       "25%      1947.500000\n",
+       "50%      2231.000000\n",
+       "75%      2595.250000\n",
+       "max      7372.000000\n",
+       "Name: trip_time, dtype: float64"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.trip_time.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "5c9d686c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>trip_time</th>\n",
+       "      <th>size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>trip_time</th>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>0.14222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>size</th>\n",
+       "      <td>0.14222</td>\n",
+       "      <td>1.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           trip_time     size\n",
+       "trip_time    1.00000  0.14222\n",
+       "size         0.14222  1.00000"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[['trip_time', 'size']].corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "80e97f80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['round_lag'] = df['leader_round'] - df['round']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "c3bc8635",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>trip_time</th>\n",
+       "      <th>round_lag</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>trip_time</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.128371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>round_lag</th>\n",
+       "      <td>-0.128371</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           trip_time  round_lag\n",
+       "trip_time   1.000000  -0.128371\n",
+       "round_lag  -0.128371   1.000000"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[['trip_time', 'round_lag']].corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "763ea2f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>send_ts</th>\n",
+       "      <th>recv_ts</th>\n",
+       "      <th>size</th>\n",
+       "      <th>round</th>\n",
+       "      <th>leader_round</th>\n",
+       "      <th>trip_time</th>\n",
+       "      <th>round_lag</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1705082094615</td>\n",
+       "      <td>1705082096603</td>\n",
+       "      <td>11978</td>\n",
+       "      <td>514917</td>\n",
+       "      <td>514920</td>\n",
+       "      <td>1988</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1705082095268</td>\n",
+       "      <td>1705082097617</td>\n",
+       "      <td>4819</td>\n",
+       "      <td>514919</td>\n",
+       "      <td>514922</td>\n",
+       "      <td>2349</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1705082095797</td>\n",
+       "      <td>1705082097617</td>\n",
+       "      <td>29457</td>\n",
+       "      <td>514919</td>\n",
+       "      <td>514922</td>\n",
+       "      <td>1820</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1705082096392</td>\n",
+       "      <td>1705082099285</td>\n",
+       "      <td>13347</td>\n",
+       "      <td>514923</td>\n",
+       "      <td>514926</td>\n",
+       "      <td>2893</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1705082097017</td>\n",
+       "      <td>1705082099285</td>\n",
+       "      <td>10755</td>\n",
+       "      <td>514923</td>\n",
+       "      <td>514926</td>\n",
+       "      <td>2268</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>777</th>\n",
+       "      <td>1705082568577</td>\n",
+       "      <td>1705082575100</td>\n",
+       "      <td>23864</td>\n",
+       "      <td>515968</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>6523</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>778</th>\n",
+       "      <td>1705082569263</td>\n",
+       "      <td>1705082575100</td>\n",
+       "      <td>24451</td>\n",
+       "      <td>515969</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>5837</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>779</th>\n",
+       "      <td>1705082569909</td>\n",
+       "      <td>1705082575100</td>\n",
+       "      <td>20123</td>\n",
+       "      <td>515969</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>5191</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>780</th>\n",
+       "      <td>1705082570512</td>\n",
+       "      <td>1705082575100</td>\n",
+       "      <td>5559</td>\n",
+       "      <td>515969</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>4588</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>781</th>\n",
+       "      <td>1705082571022</td>\n",
+       "      <td>1705082575100</td>\n",
+       "      <td>11860</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>515970</td>\n",
+       "      <td>4078</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>782 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           send_ts        recv_ts   size   round  leader_round  trip_time  \\\n",
+       "0    1705082094615  1705082096603  11978  514917        514920       1988   \n",
+       "1    1705082095268  1705082097617   4819  514919        514922       2349   \n",
+       "2    1705082095797  1705082097617  29457  514919        514922       1820   \n",
+       "3    1705082096392  1705082099285  13347  514923        514926       2893   \n",
+       "4    1705082097017  1705082099285  10755  514923        514926       2268   \n",
+       "..             ...            ...    ...     ...           ...        ...   \n",
+       "777  1705082568577  1705082575100  23864  515968        515970       6523   \n",
+       "778  1705082569263  1705082575100  24451  515969        515970       5837   \n",
+       "779  1705082569909  1705082575100  20123  515969        515970       5191   \n",
+       "780  1705082570512  1705082575100   5559  515969        515970       4588   \n",
+       "781  1705082571022  1705082575100  11860  515970        515970       4078   \n",
+       "\n",
+       "     round_lag  \n",
+       "0            3  \n",
+       "1            3  \n",
+       "2            3  \n",
+       "3            3  \n",
+       "4            3  \n",
+       "..         ...  \n",
+       "777          2  \n",
+       "778          1  \n",
+       "779          1  \n",
+       "780          1  \n",
+       "781          0  \n",
+       "\n",
+       "[782 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a48edc6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/simple-listener/tests/txs.csv b/simple-listener/tests/txs.csv
new file mode 100644
index 0000000..10f3925
--- /dev/null
+++ b/simple-listener/tests/txs.csv
@@ -0,0 +1,3692 @@
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