34 articles in this category
Node count is the most-quoted — and most-inflated — DePIN metric. Here is how we track verifiable active node counts across 327 networks, and why registered counts hide the real story.
Storj is a storage DePIN with a satellite architecture that makes its data picture subtle. Here is how to query storage nodes, satellites, and real capacity — and why the two-denominator problem matters.
DePIN network data is scattered across dozens of incompatible sources. Kairos Signal unifies 327 networks from 69 sources into one verifiable API — here is how the coverage breaks down and how to query it.
One public URL, one second, four defensible node counts. Storj's us1 satellite reports 123,580 total nodes but only 32,796 active — a 3.8x gap that is entirely dead history. Which number is 'the node count' depends on which denominator you accept, and a third trap (summing satellites) overstates the fleet ~4x. Every number here is re-checkable from the same public endpoint.
437 military aircraft airborne, 122 active FAA flight restrictions, 926 map cells at HIGH GPS interference, 4,148 ships on national AIS feeds, and Kuiper at 391 tracked objects — all measured today, all landing in one table, every row carrying its source. Here's the data, the method, and the caveats.
We now poll all 129 Bittensor subnets directly from the chain: neurons, active neurons, alpha pools, TAO reserves, emission, burn cost, tempo, and more — 13 metrics per subnet. First findings: 118 of 129 subnets are at their registration cap, yet seven of them have two or fewer neurons actually working, and one subnet alone draws 13.9% of tracked TAO-in emission.
First-party DHT measurement: our Nebula-based crawler sampled 6,416 IPFS DHT server peers (53.4% dialable, 257 distinct agent versions), and our BEP-5 sampler estimates the BitTorrent Mainline DHT at ~2.16M nodes. No aggregators — we joined the networks and counted. Method, numbers, and every caveat.
A rigorous comparative analysis of supply-side telemetry across heterogeneous DePIN networks. We deconstruct WeatherXM's weather station coverage metrics and Akash's compute lease telemetry, then derive a canonical normalization schema—mapping devices_total, compute_cores_total, and nodes_online—enabling cross-category signal comparison and adversarial verification via self-certifying data URLs.
How to query Filecoin's storage provider counts, network power, deal metrics, and protocol revenue via a provenance-first API with verify-yourself URLs.
A deep dive into anchoring DePIN telemetry batches to Bitcoin via OpenTimestamps, exploring Merkle tree construction, multi-calendar aggregation, and cryptographic verification of temporal provenance without trusted intermediaries.
How to query Akash Network's active providers, compute capacity, and protocol revenue via a provenance-first API with verify-yourself URLs.
How to query io.net's GPU worker counts, compute supply metrics, and network health via a provenance-first API with verify-yourself URLs.