◐ rebuilding Bitcoin chain analytics are being rebuilt after a transaction-parser fix. Historical figures shown may be inaccurate until the re-ingest completes.
⬡ SUBSTRATE 🔒 sovereign datasets · two live public datasets · every domain, one source Contact ▸ ⌘K research.semurg.io

Two live datasets. Every domain.

The whole benchmark suite runs on exactly two public, live datasets: the Bitcoin blockchain and the Binance WebSocket. Not a pile of frozen academic corpora, two real feeds a skeptic can pull themselves, updating every second, that between them exercise every workload a universal substrate claims. One dataset, every face.

Why these two

1 · universally available
Anyone can pull the Bitcoin chain over P2P or subscribe to the Binance socket, for free, right now. The benchmark is re-runnable by any skeptic on the same public data, the one thing a fabricated number cannot survive. No licensed corpus, no "trust our export".
2 · constantly updating & dynamic
A new Bitcoin block every ~10 minutes, thousands of Binance trades every second. The graph and the stream are ALIVE, not a snapshot, so the numbers exercise live ingest, churn, streaming and consistency, the things a load-once academic file can never show.
3 · genuinely large · ~750 GB
The full Bitcoin chain is ~750 GB, on the order of a billion transactions and a billion addresses, one of the largest verifiable real graphs in existence. Not a toy: a value-flow graph big enough that the engine, not the dataset, is the thing under test.
4 · every modality on one dataset
The SAME Bitcoin data is a graph (value-flow traversal), a key-value store (address / tx point read), a SQL/OLAP table (aggregate the flows), a search corpus (pattern-scan tx & addresses), and an object store (tx bytes + metadata + links). Binance adds time-series + streaming. One dataset, every domain, which is the whole cross-domain moat, made concrete.
Every demo on this site now runs on one of these two live sources. Bitcoin for the graph, KV, SQL, OLAP, search and object faces; Binance for time-series and streaming. Every number is measured live, on this box, on data you can pull yourself.