On-chain analytics
On-chain activity is public but illegible: millions of transactions and a torrent of market news, with no easy way to turn it into a clear read. ASTRA builds analytics that make it legible.
Blockchain activity and crypto news, read with AI.
The challenge
On-chain activity is public but illegible — millions of transactions, wallets and contracts, plus a constant torrent of market news, with no easy way to turn it into a clear read on what is happening, what is risky, or what is worth acting on. Teams either miss the signal or lean on shallow dashboards that stop at the surface.
How we reframe it
We build on-chain analytics that read blockchain activity and crypto news together with AI — tracing flows, clustering behaviour, and combining raw chain data with market context to produce clear answers. It is grounded in the team's Web3 and blockchain research depth and built as a dependable system, not a black box: the analysis behind an answer can be traced.
The expected outcome
The aim is on-chain activity made legible — risk, flows and market context surfaced as decisions people can act on, with the reasoning traceable rather than hidden.
- Chain data and market news read together, not separately
- Flows traced and behaviour clustered into clear answers
- Analysis you can trace — not a black box
From input to a decision you can defend.
Read the chain & the news
On-chain activity and market context are ingested together for the AI to read.
Trace flows & cluster behaviour
AI traces value flows and clusters wallet and contract behaviour into patterns.
Clear answers, not dashboards
The output is a traceable read on risk and activity — decisions people can act on.
Across the ASTRA team and the AIFT research lineage. Client names available on request.