Subnets / SN30
Endure Network SN30
Endure Network (subnet 30) is a Bittensor subnet held by 1,636 unique coldkeys. Its liquidity pool holds 8.8k τ, with the alpha token trading at 0.0036 τ. Roughly 2% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 84% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for Endure Network are available to SubnetStats subscribers.
ALPHA PRICE
0.0036 τ
IN TAO
HOLDERS
1,636
UNIQUE COLDKEYS
POOL DEPTH
8.8k τ
TAO IN POOL
7D MOMENTUM
-5.4%
ALPHA vs TAO
Project activity
Endure testnet is still open, and every submission right now is helping shape how the network scores risk going forward.
If you have not tried mining or validating yet, this is the moment to get in early.
$TAO SN30. https://t.co/mmtj1O7QVa
Target and context define what is being assessed and under what regime. Schema is what makes that assessment usable.
A schema is the bundle of outputs, invariants, and scoring logic that governs an assessment.
For the current vertical, Alpha Risk V1, that schema is risk.v1.subn
Want to join Endure testnet but not sure where to start, or have questions about how to participate? Our Discord community is there to help.
→ https://t.co/Bth2mFrlv8
$TAO SN30. https://t.co/tbXRMLewuZ
Endure testnet is live
Miners can now submit structured Alpha collateral risk recommendations, and validators can score them against realized market behavior.
The incentive and validator mechanisms are running on netuid 504 under the risk.v1.subnet_alpha schema.
Full document
Every assessment on Endure will be identified by three axes: target, context, and schema. We covered target already. Now, context.
A context is the regime an assessment will be produced under.
For the first vertical, Alpha Risk V1, that context will be risk.v1. It will pin the
A design partner is not just an early user.
Once Endure is live, they will consume its risk intelligence in a real context, against real decisions. In doing so, they will surface what useful risk intelligence looks like in practice: which outputs matter, which schemas need refin
Once Endure and Forge are live, every action inside that loop will become something Endure can score against real market behavior.
Usage becomes revenue, revenue becomes buybacks, buybacks strengthen incentives, and stronger incentives attract the contributors who make risk int
The dominant model in risk intelligence is concentration: a few analysts, shared assumptions, correlated outputs, and when the consensus is wrong, it is wrong at scale.
A handful of credit rating agencies using similar assumptions to rate mortgage securities showed what that lo
This was not a bug an audit would catch, since Tectonic's contract worked exactly as written. The failure was that a token with roughly $1.34M in liquidity was allowed to back real borrowing, cheap enough to manipulate 100x in twenty minutes.
That is what continuous monitoring i
Every assessment on Endure will be identified by three axes: target, context, and schema. This post covers the first one.
A target is what is being assessed.
For the first vertical, Alpha Risk V1, a target will be a single Bittensor subnet Alpha token, identified by its netuid.
Term Labs was attacked with ~$8.5M drained... and the contracts were not the problem. Someone cheaply acquired majority DAO voting power, then proposed sending the funds to themselves and voted yes... Audited code, zero bugs, a governance vote.
This is a risk assessment issue, n
Security audits and risk intelligence share the same premise: trust should be earned through scrutiny, not assumed.
@bailsecurity is reviewing the code, and Endure will score the risk. Both exist because neither is enough alone.
$TAO SN30.
Every assessment on Endure will be identified by three axes: target, context, and schema.
Together they will form the contract between miners, validators, and consumers. That contract will be what allows one pipeline to serve different asset classes and product categories withou
Endure has two layers worth understanding.
The first is the network itself. Miners will analyze risk by submitting structured assessments for specific targets; validators will score them against realized market outcomes, and the network will aggregate the results into a signed,
The Endure-Forge flywheel is starting to take shape.
@ForgeLending, the first product built to run on Endure, has already attracted more than $4M in TVL commitments ahead of mainnet. Score Alpha will be the first collateral asset listed, once the audits are complete.
The risk i
Most risk intelligence is produced on a schedule.
Markets do not.
Endure is designed around continuous monitoring: miners will be scored against live outcomes as markets evolve, so the signal adapts as conditions change, not after the damage is already visible.
A new miner with
Forge will create the first revenue loop for Endure, but the network we are building is not limited to one market.
Risk intelligence that is competitive, outcome-scored, and auditable is what every protocol needs.
Endure is being built to provide it. $TAO SN30.
$TAO SN30: The road to Forge, laid out in four interconnected phases
Phase 1 – Open the network: Subnet mechanics are being finalized, partnerships are being announced as plans are confirmed, capital is committed, and the improved Forge experience is on its way.
Phase 2 – Secur
August update $TAO SN30:
On the Forge side, the testnet put the protocol in front of real users and the feedback has been directly shaping improvements.
$4M in TVL commitments have already come in ahead of mainnet, signaling demand before the protocol is even live.
Alongside t
Excited to see this
Score Alpha will be the first collateral on Forge.
This is how it starts. $TAO SN30.
Most risk systems try to find the best analyst and trust them.
Endure is being built on a different premise: do not appoint the best analyst. Run many in parallel, score them all, and let the aggregation select for what is working now.
This is the competition over monoculture p
Forge is the first product built to run on Endure.
Next to that, we have a lot of ongoing conversations to start pilots with institutional partners.
Banks, asset managers, and structured product desks all depend on risk assumptions that are rarely tested against outcomes. Risk i
Every piece of risk intelligence Endure produces starts with a round.
Each round, validators query miners for risk assessments. Miners submit using commit/reveal, and validators verify submissions against schemas and aggregate valid ones into a signed output.
Consumers fetch th
Bittensor’s new emission curve makes healthy alpha pools and lower selling pressure more important than ever.
That is where @ForgeLending comes in. Our first customer is already in audit and preparing to launch the native lending platform for Bittensor, allowing alpha holders,
The problem with closed committees and static reports is not that they could be wrong. It is that nobody tracks whether they were right.
When a parameter fails under stress, there is no performance record, no consequence, no correction mechanism.
Endure is being built as that c
SELLERS DRAINED
84%
28D SELLERS EMPTIED OUT
CAPITULATION
+0.36
BOUNCE COMPOSITE (z)
HEAT 7D
0.52×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
2%
TRACKED WALLETS · ENTRY BELOW PRICE
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