Xatu data

This dataset contains a wealth of information about the Ethereum network, including detailed data on beacon chain events, mempool activity, and canonical chain events. Read more in our announcement post.

This work is licensed under CC BY 4.0

Important

Join the Xatu Data Telegram group to stay up to date: https://t[dot]me/+JanoQFu_nO8yNzQ1

Available data

Dataset Name	Schema	Description	Prefix	EthPandaOps Clickhouse	Public Parquet Files
Beacon API Event Stream	Schema	Events derived from the Beacon API event stream	beacon_api_	✅	✅
Execution Layer P2P	Schema	Events from the execution layer p2p network	mempool_	✅	✅
Canonical Beacon	Schema	Events derived from the finalized beacon chain	canonical_beacon_	✅	✅
Canonical Execution	Schema	Data extracted from the execution layer	canonical_execution_	✅	✅
Consensus Layer P2P	Schema	Events from the consensus layer p2p network	libp2p_	✅	✅
MEV Relay	Schema	Events derived from MEV relays	mev_relay_	✅	✅

Note: Public parquet files are available to everyone. Access to EthPandaOps Clickhouse is restricted. If you need access please reach out to us at ethpandaops at ethereum.org.

Check out the visual representation of the extraction process.

Schema

For a detailed description of the data schema, please refer to the Schema Documentation.

Working with the data

Public data is available in the form of Apache Parquet files. You can use any tool that supports the Apache Parquet format to query the data.

If you have access to EthPandaOps Clickhouse you can query the data directly. Skip ahead to Using EthPandaOps Clickhouse.

Getting started
Choose your data access method
Examples
- Queries
- Jupyter Notebooks

Getting started

There's a few ways to get started with the data. First install the dependencies:

Install docker
Verify the installation by running the following command:
```
docker version
```

Choose your data access method

There are three options to get started with the data, all of them using Clickhouse.

Option 1: Setup your own Clickhouse server and import the data.

Recommended for most use cases.

Great for larger, repeated queries or when you want to query the data in a more complex way.

Click here to get started
Option 2: Query the public parquet files directly.

Great for small queries one-off queriesor when you don't want to setup your own Clickhouse server.

Click here to get started
Option 3: Use EthPandaOps Clickhouse.

Great for quick and easy queries. No setup required but access is limited.

Click here to get started

Running your own Clickhouse

Running your own Clickhouse cluster is recommended for most use cases. This process will walk you through the steps of setting up a cluster with the Xatu Clickhouse migrations and importing the data straight from the public parquet files.

Clone the Xatu repo
Xatu contains a docker compose file to run a Clickhouse cluster locally. This server will automatically have the correct schema migrations applied.

Steps:
1. Clone the Xatu repo
```
git clone https://github.com/ethpandaops/xatu.git;
cd xatu
```
2. Start the Xatu clickhouse stack
```
docker compose --profile clickhouse up --detach
```
3. Verify the Clickhouse server is running and migrations are applied
```
docker run --rm -it --net host clickhouse/clickhouse-server clickhouse client --query "SHOW TABLES FROM default" | grep -v local
```
  This should show you the tables that are available in the default database. e.g.
```
...
beacon_api_eth_v1_beacon_committee
beacon_api_eth_v1_events_attestation
beacon_api_eth_v1_events_blob_sidecar
...
```

Load data into Clickhouse

Our Clickhouse cluster is running but has no data! Let's import some data.

Steps:

Clone the Xatu-data repository

cd;
git clone https://github.com/ethpandaops/xatu-data.git
cd xatu-data;

Install clickhouse client
```
curl https://clickhouse.com/ | sh
```
Import the data into Clickhouse
```
./import-clickhouse.sh mainnet default beacon_api_eth_v1_events_block 2024-03-20 2024-03-27
```
This will import the data for the default.beacon_api_eth_v1_events_block table in mainnet from the 20th of March 2024 to the 27th of March 2024.

Verify the data import

docker run --rm -it --net host \
 clickhouse/clickhouse-server clickhouse client -q "SELECT toStartOfDay(slot_start_date_time) AS day, COUNT(*) FROM default.beacon_api_eth_v1_events_block GROUP BY day FORMAT Pretty"

This query will show you the count of events per day.

Query Parquet Files Directly

Alternatively, you can query the parquet files directly without importing. This is useful if you only need to query a small subset of the data.

Steps:

Query the first 10 rows of the beacon_api_eth_v1_events_block table for 2024-03-20

# date based partitioned tables
clickhouse local --query="SELECT * FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/beacon_api_eth_v1_events_block/2024/3/20.parquet', 'Parquet') LIMIT 10 FORMAT Pretty"

Query the first 10 rows of the canonical_execution_block table for chunk 20000000.parquet (block numbers between 20000000 and 20000999)

# integer based partitioned tables
clickhouse local --query="SELECT * FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/canonical_execution_block/1000/20000000.parquet', 'Parquet') LIMIT 10 FORMAT Pretty"

Use globs to query multiple files, e.g., 15th to 20th March or between block 20000000 and 20010000

# date based partitioned tables
clickhouse local --query="SELECT COUNT(*) FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/beacon_api_eth_v1_events_block/2024/3/{15..20}.parquet', 'Parquet') FORMAT Pretty"

# integer based partitioned tables
clickhouse local --query="SELECT COUNT(*) FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/canonical_execution_block/1000/{20000..20010}000.parquet', 'Parquet') LIMIT 10 FORMAT Pretty"

Using EthPandaOps Clickhouse

The EthPandaOps Clickhouse cluster already has the data loaded and the schema migrations applied. You can query the data directly. If you need access please reach out to us at ethpandaops at ethereum.org. Access is limited.

Query the data

Steps:

Setup your credentials

export CLICKHOUSE_USER=YOUR_USERNAME
export CLICKHOUSE_PASSWORD=YOUR_PASSWORD

Execute a query

 echo """
     SELECT
         *
     FROM default.beacon_api_eth_v1_events_block FINAL
     WHERE
         slot_start_date_time >= NOW() - INTERVAL '1 HOUR'
     LIMIT 3
     FORMAT Pretty
 """ | curl "https://clickhouse.xatu.ethpandaops.io" -u "$CLICKHOUSE_USER:$CLICKHOUSE_PASSWORD" --data-binary @-

Querying public parquet files

Querying the public parquet files is a great way to get started with the data. We recommend you don't do this for larger queries or queries that you'll run again.

Examples:

Count the number of block events per consensus client for the 20th of March 2024 on Mainnet

docker run --rm -it clickhouse/clickhouse-server clickhouse local --query="
  SELECT
    count(*), meta_consensus_implementation 
  FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/beacon_api_eth_v1_events_block/2024/3/20.parquet', 'Parquet')
  GROUP BY meta_consensus_implementation 
  FORMAT Pretty
"

Show the top 5 block builders by block numbers between 20000000 and 20010999

docker run --rm -it clickhouse/clickhouse-server clickhouse local --query="
  SELECT
      count(*),
      extra_data_string
  FROM url('https://data.ethpandaops.io/xatu/mainnet/databases/default/canonical_execution_block/1000/{20000..20010}000.parquet', 'Parquet')
  WHERE
      block_number BETWEEN 20000000 AND 20010000
  GROUP BY extra_data_string
  ORDER BY count(*) DESC
  LIMIT 5
  FORMAT Pretty
"

Examples

Once your Clickhouse server is setup and the data is imported, you can query the data.

Queries

Show all block events for the 20th of March 2024 by nimbus sentries on mainnet between 01:20 and 01:30

docker run --rm -it --net host -e CLICKHOUSE_USER=$CLICKHOUSE_USER -e CLICKHOUSE_PASSWORD=$CLICKHOUSE_PASSWORD -e CLICKHOUSE_HOST=$CLICKHOUSE_HOST clickhouse/clickhouse-server clickhouse client --query="""
  SELECT
      *
  FROM beacon_api_eth_v1_events_block
  WHERE
      meta_network_name = 'mainnet'
      AND slot_start_date_time BETWEEN '2024-03-20 01:20:00' AND '2024-03-20 01:30:00' -- strongly recommend filtering by the partition key (slot_start_date_time) for query performance
      AND meta_consensus_implementation = 'nimbus'
  FORMAT Pretty
"""

Show the 90th, 50th, 05th percentile and min arrival time for blocks per day for the 20th to 27th of March 2024

docker run --rm -it --net host -e CLICKHOUSE_USER=$CLICKHOUSE_USER -e CLICKHOUSE_PASSWORD=$CLICKHOUSE_PASSWORD -e CLICKHOUSE_HOST=$CLICKHOUSE_HOST clickhouse/clickhouse-server clickhouse client --query="""
  SELECT
      toStartOfDay(slot_start_date_time) AS day,
      round(MIN(propagation_slot_start_diff)) AS min_ms,
      round(quantile(0.05)(propagation_slot_start_diff)) AS p05_ms,
      round(quantile(0.50)(propagation_slot_start_diff)) AS p50_ms,
      round(quantile(0.90)(propagation_slot_start_diff)) AS p90_ms
  FROM beacon_api_eth_v1_events_block
  WHERE
      slot_start_date_time BETWEEN '2024-03-20' AND '2024-03-27' -- strongly recommend filtering by the partition key (slot_start_date_time) for query performance
  GROUP BY day
  ORDER BY day AS
  FORMAT Pretty
"""

Show the amount of times a block was seen per sentry for the 20th to 27th of March 2024

docker run --rm -it --net host -e CLICKHOUSE_USER=$CLICKHOUSE_USER -e CLICKHOUSE_PASSWORD=$CLICKHOUSE_PASSWORD -e CLICKHOUSE_HOST=$CLICKHOUSE_HOST clickhouse/clickhouse-server clickhouse client --query="""
  SELECT
      meta_client_name AS client_name,
      COUNT(*) AS count
  FROM beacon_api_eth_v1_events_block
  WHERE
      slot_start_date_time BETWEEN '2024-03-20' AND '2024-03-27' -- strongly recommend filtering by the partition key (slot_start_date_time) for query performance
  GROUP BY client_name
  FORMAT Pretty
"""

Show the top 5 block builders by block numbers between 20000000 and 20010000

docker run --rm -it --net host -e CLICKHOUSE_USER=$CLICKHOUSE_USER -e CLICKHOUSE_PASSWORD=$CLICKHOUSE_PASSWORD -e CLICKHOUSE_HOST=$CLICKHOUSE_HOST clickhouse/clickhouse-server clickhouse client --query="""
  SELECT
      count(*),
      extra_data_string
  FROM canonical_execution_block
  WHERE
      block_number BETWEEN 20000000 AND 20010000
  GROUP BY extra_data_string
  ORDER BY count(*) DESC
  LIMIT 5
  FORMAT Pretty
"""

Jupyter Notebooks

There are some examples for both Parquet and Clickhouse and SQLAlchemy in the examples/parquet and examples/clickhouse directories respectively.

Contribute to Xatu data

We're excited to announce that we are opening up the Xatu data collection pipeline to the Ethereum community! This initiative enables community members to contribute valuable data to the Xatu dataset.

As discussions regarding the potential increase in maximum blob count continue we hope to shed light on the perspective of Ethereum's most crucial participants - home stakers.

Summary:

Privacy focused. Multiple privacy levels that allow contributors to only disclose data they're comfortable with
Initially restricted to known community members
Data is published daily by the EthPandaOps team

Data Collection

Overview

Data is collected by running a Beacon node and the xatu sentry sidecar. The data is then sent to a pipeline that we run, which further anonymizes and redacts the data.

graph TD
    A1[Home Staker 1] --> B1[Beacon Node]
    A2[You!] --> B2[Beacon Node]
    A3[Home Staker 3] --> B3[Beacon Node]
    B1 --> X1[Xatu Sentry]
    B2 --> X2[Xatu Sentry]
    B3 --> X3[Xatu Sentry]
    C[EthPandaOps]
    C --> D[Data Pipeline]
    
    D --> E[Public Parquet Files]
    
    X1 --> C
    X2 --> C
    X3 --> C

    subgraph "Data Collection"
        A1
        A2
        A3
        B1
        B2
        B3
        X1
        X2
        X3
    end
    
    subgraph " "
        C
        D
    end
    
    subgraph " "
        E
    end
    linkStyle 0 stroke:#f66,stroke-width:2px;
    linkStyle 1 stroke:#f66,stroke-width:2px;
    linkStyle 2 stroke:#f66,stroke-width:2px;
    linkStyle 3 stroke:#f66,stroke-width:2px;
    linkStyle 4 stroke:#f66,stroke-width:2px;
    linkStyle 5 stroke:#f66,stroke-width:2px;
    linkStyle 6 stroke:#f66,stroke-width:2px;
    linkStyle 7 stroke:#f66,stroke-width:2px;
    linkStyle 8 stroke:#f66,stroke-width:2px;
    linkStyle 9 stroke:#f66,stroke-width:2px;
    linkStyle 10 stroke:#f66,stroke-width:2px;

Events Collected

The following events will be collected:

beacon_api_eth_v1_events_head

When the beacon node has a new head block

Example payload

data:
  block: "0x43d85cfa70181f60971dbc59d60c0e82e2ff8aea995bc942dc9c27bb16a055ca"
  current_duty_dependent_root: "0xc59a164bf477f138363db57e34f5b0e561c8bb1d30a0526f195b5575b2137513"
  previous_duty_dependent_root: "0xbdbad239bcde3aa281edb7067a86ddba41f7f0a2e55b7ca61d628e57b6f1695f"
  slot: "10098904"
  state: "0xbcf7bbd9f5da8b88d09e3876834e93945edd98a258091339caedad2ec6764576"
event:
  date_time: "2024-10-04T03:01:13.245589039Z"
  id: "b6b13f23-6412-4e74-aa62-8639fc2fa04e"
  name: "BEACON_API_ETH_V1_EVENTS_HEAD_V2"
additional_data:
  epoch:
    number: "315590"
    start_date_time: "2024-10-04T02:56:23Z"
  propagation:
    slot_start_diff: "2245"
  slot:
    start_date_time: "2024-10-04T03:01:11Z"

beacon_api_eth_v1_events_block

When the beacon node has a new block

Example payload

data:
  block: "0x7bb7f9e703896d516a0ee56d273dbe8fd71fd994a2f36cc489b8e1b825d74d44"
  slot: "10098966"
event:
  date_time: "2024-10-04T03:13:37.703055591Z"
  id: "58ccd540-81c2-44ce-820d-e73b5af0bea7"
  name: "BEACON_API_ETH_V1_EVENTS_BLOCK_V2"
additional_data:
  epoch:
    number: "315592"
    start_date_time: "2024-10-04T03:09:11Z"
  propagation:
    slot_start_diff: "2703"
  slot:
    number: "10098966"
    start_date_time: "2024-10-04T03:13:35Z"

beacon_api_eth_v1_events_blob_sidecar

When the beacon node has recieved a blob sidecar that passes gossip validation.

Example payload

data:
  block_root: '0xc78adbc7ce7ab828bed85fedc6429989b4f4451d41aac8dc0c40b9f57839a3d7'
  index: '0'
  kzg_commitment: '0xa8de65da8d07703217d6879c75165a36973ff3ddace933907e7d400662b90e575812bb1302bfd4bb24691a550a0dc02a'
  slot: '10099003'
  versioned_hash: '0x0196e5bc26c289ff58a37c75f72b6824507d67ab0e43577495d1ad7b74716601'
event:
  date_time: '2024-10-04T03:21:00.752889196Z'
  id: adbf1ecb-4e52-404f-b3ba-6f83f6ffc4db
  name: BEACON_API_ETH_V1_EVENTS_BLOB_SIDECAR
additional_data:
  epoch:
    number: '315593'
    start_date_time: '2024-10-04T03:15:35Z'
  propagation:
    slot_start_diff: '1752'
  slot:
    number: '10099003'
    start_date_time: '2024-10-04T03:20:59Z'

beacon_api_eth_v1_events_chain_reorg

When the beacon node has reorganized its chain

Example payload

data:
  depth: '3'
  epoch: '83615'
  new_head_block: '0x4a99bc2dbb2c5640cf0798102588dcbc3c02d15989c7652bbcf4647e24a14881'
  new_head_state: '0x3e5af57c5c3bd8fa394c21edd8ac5b07378ef1e143ed18a9ff695090c970b23f'
  old_head_block: '0x28e85b3e33721ad20b86c671f35686c8c91b5a29c6fd0cb41698872048d1b8ed'
  old_head_state: '0x00f61794f1da3817bb8ae4591bbc0bc9cc0c72f4a422d5fdda5cd584ee147cd3'
  slot: '2675702'
event:
  date_time: '2024-10-04T03:00:36.161478913Z'
  id: b0db9607-a862-4dd2-b7e6-4faf77e3a949
  name: BEACON_API_ETH_V1_EVENTS_CHAIN_REORG_V2
additional_data:
  epoch:
    number: '83615'
    start_date_time: '2024-10-04T02:56:00Z'
  propagation:
    slot_start_diff: '12161'
  slot:
    start_date_time: '2024-10-04T03:00:24Z'

beacon_api_eth_v1_events_finalized_checkpoint

When the beacon node's finalized checkpoint has been updated

Example payload

data:
  block: '0x418645de30f82a71b7470dfc9831602f750a3b8e14e507e112791d53b3d3842e'
  epoch: '188220'
  state: '0x195dcdf004596c7afd999c39ff6f718f5bb631f3c8838b445fe87ea8f4f6de52'
event:
  date_time: '2024-10-04T03:00:47.506914227Z'
  id: 57e595a9-c79a-458c-be83-0d6dd58ee81c
  name: BEACON_API_ETH_V1_EVENTS_FINALIZED_CHECKPOINT_V2
additional_data:
  epoch:
    number: '188220'
    start_date_time: '2024-10-04T02:48:00Z'

Metadata

The following additional metadata is sent with every event:

Client Metadata

clock_drift: '2' # Clock drift of the host machine
ethereum:
    consensus:
        implementation: lighthouse # Beacon node implementation
        version: Lighthouse/v5.3.0-d6ba8c3/x86_64-linux # Beacon node version
    network:
        id: '11155111' # Ethereum network ID
        name: sepolia # Ethereum network name
id: 98df53c0-3de0-477c-a7c9-4ea9b17981c3 # Session ID. Resets on restart
implementation: Xatu
module_name: SENTRY
name: b538bfd92sdv3 # Name of the sentry. Hash of the Beacon Node's node ID.
os: linux # Operating system of the host running sentry
version: v0.0.202-3645eb8 # Xatu version

Server Metadata

Once we recieve the event, we do some additional processing to get the server metadata. The data that is added to the event is configurable per-user and allows users to only disclose data they're comfortable with. Geo location data is very useful for understanding how data is propagated through the network, but is not required.

server:
  client:
    geo:
      # OPTIONAL FIELDS
      ## Data about ISP
      autonomous_system_number: 24940 # Autonomous system number of the client
      autonomous_system_organization: "Hetzner Online GmbH" # Organization associated with the autonomous system
      
      ## Data about location
      city: "Helsinki" # City where the client is located
      continent_code: "EU" # Continent code of the client's location
      country: "Finland" # Country where the client is located
      country_code: "FI" # Country code of the client's location
      
      ### ALWAYS REDACTED
      latitude: REDACTED # Latitude coordinate of the client's location
      longitude: REDACTED # Longitude coordinate of the client's location
    group: "asn-city" # Group the client belongs to
    user: "simplefrog47" # Pseudo username that sent the event
    # ALWAYS REDACTED
    ip: "REDACTED" # IP address of the client that sent the event
  event:
    received_date_time: "2024-10-04T03:00:48.533351629Z" # Timestamp when the event was received

Note:

The client.name field is re-hashed with a salt that only the EthPandaOps team has access to. This means that the original name of the client is not disclosed, and there is no way to map events back to a specific node id.
The client.ip, client.geo.latitude, and client.geo.longitude fields are ALWAYS redacted.

Privacy groups

Privacy is a top priority for us. We have created privacy groups to allow users to only disclose data they're comfortable with.

No additional Geo/ASN data

autonomous_system_number: REDACTED # REDACTED
autonomous_system_organization: REDACTED # REDACTED
city: "REDACTED" # REDACTED
country: "REDACTED" # REDACTED
country_code: "REDACTED" # REDACTED
continent_code: "REDACTED"

With ASN data

Share geo location down to the city level

autonomous_system_number: 24940
autonomous_system_organization: "Hetzner Online GmbH"
city: "Helsinki"
continent_code: "EU"
country: "Finland"
country_code: "FI"

Share geo location down to the country level

autonomous_system_number: 24940
autonomous_system_organization: "Hetzner Online GmbH"
continent_code: "EU"
country: "Finland"
country_code: "FI"

city: "REDACTED" # REDACTED

Share geo location down to the continent level

autonomous_system_number: 24940
autonomous_system_organization: "Hetzner Online GmbH"
continent_code: "EU"

city: "REDACTED" # REDACTED
country: "REDACTED" # REDACTED
country_code: "REDACTED" # REDACTED

Share no geo location data

autonomous_system_number: 24940
autonomous_system_organization: "Hetzner Online GmbH"

continent_code: "EU"
city: "REDACTED" # REDACTED
country: "REDACTED" # REDACTED
country_code: "REDACTED" # REDACTED

Without ASN data

Share geo location down to the city level without ASN

city: "Helsinki"
continent_code: "EU"
country: "Finland"
country_code: "FI"

autonomous_system_number: REDACTED # REDACTED
autonomous_system_organization: REDACTED # REDACTED

Share geo location down to the country level without ASN

continent_code: "EU"
country: "Finland"
country_code: "FI"

autonomous_system_number: REDACTED # REDACTED
autonomous_system_organization: REDACTED # REDACTED
city: "REDACTED" # REDACTED

Share geo location down to the continent level without ASN

continent_code: "EU"

autonomous_system_number: REDACTED # REDACTED
autonomous_system_organization: REDACTED # REDACTED
city: "REDACTED" # REDACTED
country: "REDACTED" # REDACTED
country_code: "REDACTED" # REDACTED

Get Started

Contributing to the Xatu dataset is currently restricted to known community members. We have plans to open this up to the public in the future, but for now, we want to ensure that the data remains high quality and relevant to the home staker community (read: we need to make sure our pipeline can handle the increased load 😂)

If you'd like to contribute to the Xatu dataset, please apply for access here

Once you've been granted access, you'll receive instructions on how exactly to run xatu sentry and start contributing to the dataset.

Docker

If you're already running a beacon node, running xatu sentry is as simple as running a docker container on your node. For example:

docker run -d \
  --name xatu-sentry \
  --restart unless-stopped \
  --cpus="0.5" \
  --memory="1g" \
  --read-only \
  ethpandaops/xatu:latest sentry \
  --preset ethpandaops \
  --beacon-node-url=http://localhost:5052 \
  --output-authorization=REDACTED

Binary

You can download the binary from our GitHub Releases page or use the install script.

Once you have the xatu binary, you can run it with the following command:

xatu sentry \
  --preset ethpandaops \
  --beacon-node-url=http://localhost:5052 \
  --output-authorization=REDACTED

License

Code: MIT
Data: CC BY

Maintainers

Sam - @samcmau

Andrew - @savid

Name		Name	Last commit message	Last commit date
Latest commit History 924 Commits
.github		.github
analysis/public-users		analysis/public-users
assets		assets
examples		examples
schema		schema
scripts		scripts
.gitignore		.gitignore
LICENSE		LICENSE
README.hugo.md		README.hugo.md
README.md		README.md
SCHEMA.all.md		SCHEMA.all.md
SCHEMA.hugo.md		SCHEMA.hugo.md
SCHEMA.md		SCHEMA.md
check-availability.sh		check-availability.sh
config.yaml		config.yaml
generate-bigquery.sh		generate-bigquery.sh
generate-readme.sh		generate-readme.sh
generate-schema.sh		generate-schema.sh
import-clickhouse.sh		import-clickhouse.sh
update-availability.sh		update-availability.sh

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Repository files navigation

Xatu data

Table of contents

Available data

Schema

Working with the data

Getting started

Choose your data access method

Running your own Clickhouse

Using EthPandaOps Clickhouse

Querying public parquet files

Examples

Queries

Jupyter Notebooks

Contribute to Xatu data

Data Collection

Overview

Events Collected

Metadata

Client Metadata

Server Metadata

Privacy groups

No additional Geo/ASN data

With ASN data

Without ASN data

Get Started

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Xatu data

Table of contents

Available data

Schema

Working with the data

Getting started

Choose your data access method

Running your own Clickhouse

Using EthPandaOps Clickhouse

Querying public parquet files

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