grail Price (sn81/CAD)

grail
Currency
grail
grail
SN81
grail Price (SN81/CAD)
$3.53
Price Change 24h
-$0.075
3.57%
24h Low / 24h High
$1.97 / $2.14
Market Cap
$7,712,609.00
3.39%
Fully Diluted Market Cap
7,712,609
Market Rank
#1458
Bitcoin
Bitcoin
BTC
Bitcoin Price (BTC/CAD)
$86,012.29
Price Change 24h
-$1,237.41
1.42%
24h Low / 24h High
$85,020.00 / $88,424.00
Market Cap
$1,722,785,035,017.00
1.35%
Fully Diluted Market Cap
1,722,785,035,017
Market Rank
#1
Ethereum
Ethereum
ETH
Ethereum Price (ETH/CAD)
$2,283.58
Price Change 24h
-$37.23
1.6%
24h Low / 24h High
$2,261.61 / $2,359.81
Market Cap
$275,284,111,007.00
1.71%
Fully Diluted Market Cap
275,283,999,570
Market Rank
#2
Tether
Tether
USDT
Tether Price (USDT/CAD)
$1.39
Price Change 24h
-$0.00026
0.02%
24h Low / 24h High
$1.39 / $1.40
Market Cap
$260,694,152,833.00
0.03%
Fully Diluted Market Cap
268,317,592,727
Market Rank
#3
BNB
BNB
BNB
BNB Price (BNB/CAD)
$825.20
Price Change 24h
-$4.83
0.58%
24h Low / 24h High
$816.78 / $842.92
Market Cap
$111,117,497,596.00
0.61%
Fully Diluted Market Cap
111,117,497,596
Market Rank
#4
USDC
USDC
USDC
USDC Price (USDC/CAD)
$1.40
Price Change 24h
$0.00007
0.01%
24h Low / 24h High
$1.39 / $1.40
Market Cap
$104,752,303,924.00
1.18%
Fully Diluted Market Cap
104,746,021,738
Market Rank
#5
Official Site
GitHub
White Paper
Official Site
GitHub
White Paper

grail market data

Trading Volume
24h
Circulating Supply
3,785,356.060396615
100%
Volume / Market Cap
$0.00 / 0
Market Dominance
0%
Total Supply
3,785,356.060396615
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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