grail Price (sn81/CAD)

grail
Currency
grail
grail
SN81
grail Price (SN81/CAD)
$3.53
Price Change 24h
-$0.024
0.8%
24h Low / 24h High
$2.68 / $2.95
Market Cap
$10,658,789.00
0.43%
Fully Diluted Market Cap
10,658,789
Market Rank
#1373
Bitcoin
Bitcoin
BTC
Bitcoin Price (BTC/CAD)
$106,296.86
Price Change 24h
$895.21
0.85%
24h Low / 24h High
$105,212.00 / $106,794.00
Market Cap
$2,129,043,958,975.00
0.85%
Fully Diluted Market Cap
2,129,046,297,168
Market Rank
#1
Ethereum
Ethereum
ETH
Ethereum Price (ETH/CAD)
$2,918.06
Price Change 24h
$23.77
0.82%
24h Low / 24h High
$2,893.21 / $2,947.25
Market Cap
$352,060,051,218.00
0.81%
Fully Diluted Market Cap
352,060,051,218
Market Rank
#2
Tether
Tether
USDT
Tether Price (USDT/CAD)
$1.37
Price Change 24h
$0.0000071
0%
24h Low / 24h High
$1.37 / $1.38
Market Cap
$260,708,557,529.00
0%
Fully Diluted Market Cap
268,215,689,802
Market Rank
#3
BNB
BNB
BNB
BNB Price (BNB/CAD)
$890.07
Price Change 24h
$12.68
1.44%
24h Low / 24h High
$876.99 / $894.43
Market Cap
$119,990,108,224.00
1.47%
Fully Diluted Market Cap
119,990,108,224
Market Rank
#4
XRP
XRP
XRP
XRP Price (XRP/CAD)
$1.88
Price Change 24h
$0.011
0.6%
24h Low / 24h High
$1.85 / $1.89
Market Cap
$115,923,017,255.00
0.57%
Fully Diluted Market Cap
187,462,705,611
Market Rank
#5
Official Site
GitHub
White Paper
Official Site
GitHub
White Paper

grail market data

Trading Volume
24h
Circulating Supply
3,660,867.801043967
100%
Volume / Market Cap
$0.00 / 0
Market Dominance
0%
Total Supply
3,660,867.801043967
BID
N/A
ASK
N/A
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What Is grail (SN81)?

Grail operates as subnet 81 on the Bittensor network, serving as the reinforcement learning fine-tuning and post-training layer of the Covenant AI ecosystem. The project implements the GRAIL protocol (Guaranteed Rollout Authenticity via Inference Ledger) to provide cryptographically verifiable model outputs during reinforcement learning rollouts. Grail transforms foundation models from pre-training subnets into deployable, aligned AI systems through permissionless, incentivized RL fine-tuning infrastructure. The platform generates thousands of rollouts per second using custom algorithms designed for post-training optimization. The subnet supports models ranging from 8B to 70B+ parameters and integrates with multiple RL environments for diverse training scenarios.

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