The value in on-chain analysis is entirely in the construction. Counting raw transactions produces noise; counting entity-adjusted transfers, distinguishing exchange wallets from internal shuffling, and defining cohorts consistently produces something you can reason with. Glassnode does that work and publishes how.
What entity adjustment means
Blockchains show addresses, not owners. A single exchange moving funds between its own wallets can look like enormous activity. Glassnode clusters addresses into entities and adjusts metrics accordingly, which is why its transfer volume and holder cohort data differ from — and are more useful than — raw chain statistics.
Coverage and cost
Bitcoin coverage is exhaustive, Ethereum is strong, and everything else is comparatively thin. The free tier offers a small number of basic metrics with delayed data; professional plans run into the hundreds of dollars per month. Its research publications are genuinely educational and available more widely than the data itself.
Limitations to keep in mind
Entity clustering is heuristic — good heuristics, but heuristics — and metric definitions occasionally change, which can restate history. On-chain metrics also mean less than they did when most bitcoin sat in self-custody: ETF custody and exchange concentration have moved supply into a small number of entities whose internal behaviour is invisible.
Who should use Glassnode
Serious Bitcoin analysts and desks that need documented, comparable historical series. Individuals should start with CryptoQuant, which covers the popular flow metrics at a fraction of the price.