Chainticks/stablecoin-flows

1---2license: cc-by-4.03pretty_name: Chainticks Stablecoin Flows4tags:5- finance6- crypto7- parquet8- duckdb9- pandas10- polars11- agent-friendly12configs:13- config_name: default14  data_files:15  - split: train16    path: flows/date=*/part-*.parquet17---18 19# Chainticks Stablecoin Flows20 21USDC/USDT mint, burn, and bridge flow rows derived from public ERC-20 transfer logs.22 23```python24import pandas as pd25 26DATE = "YYYY-MM-DD"27URL = "https://huggingface.co/datasets/Chainticks/stablecoin-flows/resolve/main/flows/date={DATE}/part-0000.parquet"28df = pd.read_parquet(URL)29print(df.head())30```31 32## Layout33 34```35flows/date=YYYY-MM-DD/part-0000.parquet36_schema.json37_manifest.json38LATEST_DATE.txt39```40 41## Provenance42 43Rows must have `source_kind` in `['on_chain_event']`. Chainticks does not publish venue REST/API resale data in this dataset.44 45## Agent Prompt Snippet46 47Use 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.48 49## Affiliation50 51Chainticks is independent and is not affiliated with the protocols, relays, venues, or government agencies represented by the data.52