pectra-analysis

Post-Pectra Effects on Ethereum: Reorg Rate, Propagation, and Block Size

This repository contains the dataset and Jupyter notebooks used to empirically analyze the impact of the Pectra hardfork on Ethereum.
We focus on how the reorg rate changed, how block and blob propagation times shifted, and how block sizes evolved.
The analysis connects these outcomes to recent protocol changes, including EIP-7623, EIP-7691.

Clone the repository

git clone https://github.com/etelpmoc/pectra-analysis.git
cd pectra-analysis

Create and activate the conda environment:

conda create -n pectra-analysis python=3.11
conda activate pectra-analysis

Install required dependencies:

pip install -r requirements.txt

Launch Jupyter Notebook:

jupyter notebook --port 8888

Then open your browser and go to: http://localhost:8888

Data Collection

Data comes from Xatu-data, covering January 1, 2025 – August 27, 2025 (slots #10,738,799 to #12,459,220). The following tables were used:

Block propagation: libp2p_gossipsub_beacon_block

Blob propagation: beacon_api_eth_v1_events_blob_sidecar

Chain reorgs: beacon_api_eth_v1_events_chain_reorg

Validators: canonical_beacon_validators

Execution blocks & transactions: canonical_execution_block, canonical_execution_transaction

Note: Since beacon_api_eth_v1_events_block_gossip lacks pre-Pectra data, we relied on libp2p_gossipsub_beacon_block for block propagation times. The two sources differ by <10 ms on average, so they are considered closely aligned.