Urd Atlas turns public blockchain activity into daily, versioned reference data: a regime label, confidence score, component scores, drivers, and publication metadata that can be read in a browser, opened as CSV, or joined to internal workflows.
Most analysis already has dates and chains. Urd Atlas adds the missing context layer: what kind of network state surrounded the observation.
Transaction counts, fees, gas usage, block times and activity metrics are public, but a raw spike or drop does not tell a team whether the whole chain was in a different state that day.
Urd Atlas compares each chain against its own recent history, classifies the network-state row, and publishes a compact reference layer that can be joined to the data a user already has.
The same published row can support a no-pipeline analyst, a technical evaluator, or a production data team. The access path changes; the reference data stays the same.
The product describes observed on-chain conditions. It does not make future-state claims or tell users what action to take.
The website explains and previews the product, but the durable surface is the data contract: JSON artifacts keyed by chain, date, version and methodology.
Canonical daily network metrics: transaction counts, fees, gas usage, block times, block counts, and active-address observations where available.
gold/<chain>/<date>.jsonThe main product output: regime label, confidence, scorecard state, drivers, publication context, and methodology/version anchors.
meta/<chain>/latest.jsonMoving-average series built from Gold data, primarily MA7 and MA30 values used for smoothed trend context.
derived/<chain>/<date>.jsonShort descriptive JSON summaries of latest regime context, generated from Meta and guarded against predictive or advisory language.
briefs/chains/<chain>/latest.jsonUrd Atlas is designed to be used downstream: in reports, notebooks, data warehouses, model evaluation, dashboard annotation and workflow monitoring.
The underlying chain data comes from AWS Public Blockchain Data. Urd Atlas adds the analytical layer: daily aggregation, historical context, regime classification, confidence gating, and published reference-data JSON.
The distinction matters: the raw data is public. The product value is the standardized, documented and reproducible interpretation layer built on top of it.
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