crypto_network_fundamentals
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
title: Crypto On-Chain Analytics (multi-chain) - BTC + ETH daily network fundamentals, cleaned Parquet
description: Daily on-chain fundamentals for Bitcoin AND Ethereum in one clean panel - computed directly from the public-domain blockchains (via Google BigQuery public datasets, not a restrictive wrapper API). BTC: transaction count, block count, block size, fees, on-chain volume, average transaction value, outputs created / inputs spent, and ACTIVE ADDRESSES. ETH: transaction count, gas used, average gas price (gwei), ETH transferred, active addresses, and ETH burned (EIP-1559). Active-address counts and on-chain throughput are the metrics analytics vendors (Glassnode, Coin Metrics, DefiLlama, Blockchain.com) sell behind paywalls and forbid you to resell - but the ledger itself is public-domain data, so these derived aggregates are freely redistributable. That licence gap is the moat: the clean, resellable on-chain-activity layer.
license: https://creativecommons.org/publicdomain/mark/1.0/
creator: Public blockchain data (public domain) via Google BigQuery public datasets
publisher: ReadySet
keywords: Crypto
keywords: official-data
keywords: AI-training-safe
keywords: redistributable
keywords: time-series
keywords: parquet
temporal coverage: 2013-01-01/2026-08-01
distribution: crypto-network-fundamentals.parquet
record set: crypto-network-fundamentals

crypto-network-fundamentals.parquet
type: FileObject
encoding format: application/vnd.apache.parquet

crypto-network-fundamentals
type: RecordSet
field: zone
field: ts
field: metric
field: value
field: unit
field: res_min

zone
type: Field
description: Chain (BTC or ETH)
data type: Text

ts
type: Field
description: Day
data type: DateTime

metric
type: Field
description: Active addresses / Transaction count / On-chain volume / Fees / Gas used / ETH burned / …
data type: Text

value
type: Field
description: Metric value (count, bytes, gwei, or native coin)
data type: Float

unit
type: Field
description: unit
data type: Text

res_min
type: Field
description: Native resolution (daily = 1440)
data type: Integer