TAO $223.36+3.3% 24h
61

RedTeam

sn61Agents & AutonomyClean0Strong entry83

The RedTeam subnet by Innerworks is a decentralized platform designed to drive innovation in cybersecurity through competitive programming challenges.

Emission
16.2
TAO / day · live
Alpha
0.0694
τ · mcap 351.2K
Top-slot payout
0.116
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.

0
Clean
Emission concentration ×0.500

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

Development dormancy ×0.300

Days since the registered repo was last pushed (live GitHub metadata).

Emission status ×0.200

Emissions enabled and flowing on chain.

Assessment

model provenance

Confidence85%
Computed1s 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

No flags with evidence on this subnet — its risk comes from baseline statistics only, and every input behind those is shown above.

Raw inputs

the storage values this assessment was computed from

SubnetTaoInEmission
2251605 rao/block
Emission (top-1 share)
14.3%
Emission (top-10 share)
50.4%
SubnetEmissionEnabled
true
FirstEmissionBlockNumber
5,228,683
GitHub pushed_at
3d ago
Active (uids)
52
Burn
0.1105 τ

Cluster classification (Agents & Autonomy) 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