Most DePIN networks advertise total registered supply as a proxy for network health, but the gap between registered and active capacity reveals a far more nuanced reality. Using io.net's recent supply data—where registered devices grew 26% in a single week while active count remained flat—we deconstruct why utilization metrics require canonical mapping and why no cross-network standard exists today.
In DePIN data products, the ultimate competitive advantage is not the current state, but the unforgeable temporal history. This post explores why unrecorded time-series cannot be retroactively bought, how a 7-day banked series compounds lead time, the statistical necessity of 90-day windows for trend analysis, and the compounding nature of semantic data knowledge.
On 2026-08-14 our DePIN catalog held 745 entries; only 263 carried live data and 171 possessed first-party supply telemetry. We examine the epistemic boundary of the remaining 482 networks with no free public feed, arguing that explicitly mapping data absence is mathematically and architecturally superior to imputing estimates.
Every DePIN network advertises how much capacity it has. Almost none say how much is actually being used. We measured it — and the gap between registered and active supply is the real story.
A provenance-first snapshot of four decentralized compute networks — Akash, io.net, Aethir and Nosana — with the metric depth we track on each and live supply, market and revenue values, every figure carrying a source and a verify_url.
Every DePIN value we serve carries the source it was read from and a link you can open right now to check it. Every daily batch is Merkle-rooted and timestamped to Bitcoin. Here is exactly how it works, and what it does and does not prove.