metadata
license: cc-by-4.0
pretty_name: Chainticks MEV Tape
tags:
- finance
- crypto
- parquet
- duckdb
- pandas
- polars
- agent-friendly
configs:
- config_name: default
data_files:
- split: train
path: payloads/date=*/part-*.parquet
Chainticks MEV Tape
Public relay MEV rows, starting with Flashbots delivered payload bid traces.
import pandas as pd
DATE = "YYYY-MM-DD"
URL = "https://huggingface.co/datasets/Chainticks/mev-tape/resolve/main/payloads/date={DATE}/part-0000.parquet"
df = pd.read_parquet(URL)
print(df.head())
Layout
payloads/date=YYYY-MM-DD/part-0000.parquet
_schema.json
_manifest.json
LATEST_DATE.txt
Provenance
Rows must have source_kind in ['public_relay']. Chainticks does not publish venue REST/API resale data in this dataset.
Agent Prompt Snippet
Use this dataset as append-only market context. Read LATEST_DATE.txt, inspect _schema.json, then load the relevant Parquet partition. Treat timestamps as UTC and preserve source_kind in downstream analysis.
Affiliation
Chainticks is independent and is not affiliated with the protocols, relays, venues, or government agencies represented by the data.