Datasetpublic

Chainticks/stablecoin-flows

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… See the full description on the dataset page: https://huggingface.co/datasets/Chainticks/stablecoin-flows.

sourceHugging Facecc-by-4.0updated 1d agoView on Hugging Face

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Dataset Card

Chainticks Stablecoin Flows

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

python

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.