75 articles in this category
10 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (IO, KYVE, PLANCK, SN103, SN117, SN13). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, DVPN, IO, SN103, SN11, SN117). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
10 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (AKT, IO, IPFS, SN117, SN55, SN66). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
9 first-party metrics moved more than 2% in the last 24 hours, on 6 of the networks we read first-party (AKT, IO, IPFS, SN103, SN97, TAO). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, IO, IPFS, LPT, SCP, SN41). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, IO, IPFS, SN32, SN41, SN76). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
10 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (AKT, IO, IPFS, NODL, SN21, SN82). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
On-chain DePIN data is the token layer: supply, holders, transfers, gas. We read it directly from RPC endpoints across 9 blockchains — Ethereum, BSC, Solana, and more — with no third-party indexer in the path.
DePIN network data is scattered across dozens of incompatible sources. Kairos Signal unifies DePIN networks from many sources into one verifiable API — here is how the coverage breaks down and how to query it.
Render Network data combines GPU nodes, compute jobs, and a staking layer. Here is how to query node operators, compute job volume, and RNDR staked through canonical, verifiable concepts.
io.net is the fastest-moving GPU network in DePIN — and the easiest to misread. Here is how to query worker counts, device breakdowns, and the registered-vs-active utilization gap that most dashboards hide.
Livepeer is the video-transcoding DePIN. Its data picture is transcoders, orchestrators, and delegators around a staking layer. Here is how to query them through canonical, verifiable concepts.