• Cryptos 17526
  • Exchanges 1475
  • Market Cap $2.69T 0.54%
  • 24h Vol $51.52B
  • Dominance BTC 58.1% ETH 10.5%

grail Live Price Update & Market Capitalization

grail SN81 #1390

$2.13 0.19% (1d)

Market Overview

grail current market price is $2.13 with a 24 hour trading volume of $30,806. The total available supply of grail is 3,536.02K SN81 with a maximum supply of 21.00M SN81. It has secured Rank 1390 in the cryptocurrency market with a marketcap of $7,509.40K. The SN81 price is 0.13% up in the last one hour.


The high price of the grail is $2.14 and low price is $2.09 in the last 24 hours. Live prices from all markets and coin market Capitalization. Stay up to date with the latest price movements. Check our coin stats data and see when there is an opportunity to buy or sell at best price in the market.

grail Rank

1390

grail Price

$2.13

Market Cap

$7,509.40K 0.15%

Fully Diluted Valuation

$7,509.40K

Trading Volume(24h)

$30,806

Circulating Supply

3,536.02K SN81

Total Supply

3,536.02K SN81

Max Supply

21.00M SN81

High(24h)

$2.14

Low(24h)

$2.09

All-time High

$9.33 77.22%
27 Mar 2026

All-time Low

$1.81 17.61%
23 Dec 2025

Cryptocurrency grail Calculator

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grail Historical Data Chart

1h

0.13%

24h

0.19%

7d

3.61%

14d

21.71%

30d

75.6%

60d

18.77%

200d

35.23%

1y

0%

No historical data available for .

grail Markets

Compare live prices of grail on top exchanges.

#ExchangePairPriceVolume(24h)Trust Score
Subnet Tokens81/0 $2.13$30,806

About grail

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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