TAO $223.74+2.8% 24h
42

Unknown

sn42UnclassifiedElevated risk64Avoid20

Repo text not synced yet — the worker fetches it on its schedule.

no repo registered on chain emissions paused reg. open
Emission
0
paused on chain
Alpha
0.0104
τ · mcap 27.7K
Top-slot payout
τ per winning epoch · live

Chain-evidence assessment

A transparent heuristic over the signals subtensor storage can prove — not an accusation. Every subscore cites the exact storage map it was computed from. Signals that need metagraph or transfer history are listed below as not modeled.

64
Elevated risk
Emission concentration ×0.7150

Share of live emissions captured by the single top-ranked miner.

Emission status ×0.29100

Subnet emits zero τ on chain — no miner income until emissions resume.

Assessment

model provenance

Confidence60%
Computed2m ago
Enginetaonets-integrity live-chain v1
Inputssubtensor storage + GitHub pushes
Weights renormalize over the subscores that have data; `confidence` reports how much of the model was assessable. Nothing is filled in with placeholders.

Not modeled

signals we refuse to fake

  • Owner self-miningneeds transfer history
  • Validator oligopolyneeds metagraph
  • Registration captureneeds per-uid history

These arrive when taonets runs its own indexer. Until then this page shows only what the chain can prove — a shorter list, but a true one.

Evidence ledger

every flagged signal, with its chain reference

Top miner holds 50.0% of subnet emissions

SubtensorModule::Emission normalized across 13 earning uids · top-10 hold 99.2%.

subscore: emission concentration
Emissions are off on chain

SubtensorModule::SubnetTaoInEmission = 0 rao/block.

subscore: emission status

Raw inputs

the storage values this assessment was computed from

SubnetTaoInEmission
0 rao/block
Emission (top-1 share)
50.0%
Emission (top-10 share)
99.2%
SubnetEmissionEnabled
true
FirstEmissionBlockNumber
5,228,683
GitHub pushed_at
not fetched
Active (uids)
12
Burn
0.0005 τ

Cluster classification (Unclassified) is derived from the repo's own text — see the GitHub tab. Live state syncs on the worker's schedule; see methodology for the full model.

Integrity · Taonets