Datasets:

Chainticks
/

stablecoin-flows

license: cc-by-4.0
pretty_name: Chainticks Stablecoin Flows
tags:
  - finance
  - crypto
  - parquet
  - duckdb
  - pandas
  - polars
  - agent-friendly
configs:
  - config_name: default
    data_files:
      - split: train
        path: flows/date=*/part-*.parquet

Chainticks Stablecoin Flows

USDC/USDT mint, burn, and bridge flow rows derived from public ERC-20 transfer logs.

import pandas as pd

DATE = "YYYY-MM-DD"
URL = "https://huggingface.co/datasets/Chainticks/stablecoin-flows/resolve/main/flows/date={DATE}/part-0000.parquet"
df = pd.read_parquet(URL)
print(df.head())

Layout

flows/date=YYYY-MM-DD/part-0000.parquet
_schema.json
_manifest.json
LATEST_DATE.txt

Provenance

Rows must have source_kind in ['on_chain_event']. 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.