The DePIN Data Problem

Akash is the deepest compute network in DePIN coverage for a simple reason: it publishes real, first-party telemetry — active GPU counts, active CPU counts, available capacity, and lease activity straight from the Akash console. That's rare, and it makes Akash one of the few networks where you can actually measure supply and utilization rather than guess.

But there's a catch. The raw telemetry is fragmented. GPU active counts, CPU active counts, memory in use, and available capacity all live on different parts of the console with different names and different update cadences. If you want Akash network stats you can act on, you need to normalize all of it into one canonical picture.

The Supply Story Hides in the Gap

The most important Akash statistic isn't any single number — it's the gap between registered and active supply. Registered capacity is what the network advertises. Active capacity is what's actually working. For a utilization analysis of Akash:

• GPU active vs. GPU available tells you how tight the GPU market is.
• CPU active vs. CPU available tells you the same for general compute.
• Memory active vs. memory available rounds out the picture.

When active GPU count climbs while available GPU count shrinks, that's genuine tightening — demand absorbing supply. When registered capacity grows but active stays flat, that's accumulation of idle inventory, not growth. The two read very differently, and only supply-and-pricing data separated into registered vs. active reveals which one you're looking at.

Pricing: The Second Half of the Story

Supply data answers "how much is there?" Pricing answers "what does it cost?" Akash leases settle in AKT, so an agent building on Akash needs both the utilization picture and the live AKT-denominated pricing in the same query — otherwise it's computing cost in stale currency.

Query Akash Stats Yourself

# Akash supply + market data in one call
curl "https://kairossignal.com/v1/networks/akash" \
  -H "Authorization: Bearer $KS_API_KEY"
Utilization-relevant fields only
curl "https://kairossignal.com/v1/networks/akash?fields=gpu_active,gpu_available,cpu_active,cpu_available,memory_active"
Canonical comparison of compute utilization across Akash, io.net, and Render
curl "https://kairossignal.com/v1/compare?concept=GPU_UTILIZATION"

Every field carries a verify_url — for the supply side it points at Akash's own console; for pricing it points at the AKT market feed. You can open any source and confirm the number yourself.

Why Provenance Matters for Akash

Akash's native fields (GPU_ACTIVE, GPU_AVAILABLE, etc.) get mapped into canonical concepts with declared units. The daily batch is Merkle-rooted and timestamped to Bitcoin via OpenTimestamps, so the utilization you compute today is provably the utilization that was true today. A backtest built on Akash supply data gets the point-in-time value — not a restated one.

Supply and pricing are the two halves of any compute decision. Query them together, verify them both. Get a free API key →

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This is a data product. Kairos Signal publishes no trading signals, performance returns, win rates, or accuracy claims.