grail

SN81 Price

About grail (SN81)

grail is a decentralized reinforcement learning fine-tuning layer operating as Subnet 81 on the Bittensor network.

• It implements the GRAIL protocol to provide cryptographically verifiable model outputs during reinforcement learning rollouts.
• The platform transforms foundation models into deployable, aligned AI systems through permissionless, incentivized infrastructure.
• grail supports high-throughput rollout generation across multiple environments, including Triton GPU kernels and mathematical benchmarks.

What Is grail

grail serves as the post-training and fine-tuning layer within the Covenant AI ecosystem, working alongside pre-training and compute subnets. Its primary mission is to enable the decentralized alignment of Large Language Models (LLMs)—AI systems trained on vast amounts of text—by rewarding miners who contribute high-quality, verifiable training data.

Value moves through the system as miners generate "rollouts" (sequences of tokens produced by a model in response to specific problems) which are then authenticated by validators. The token is put to work through an incentivized structure where miners earn rewards for producing unique, valid rollouts that improve the global model's performance. As the ecosystem grows, this mechanism scales by allowing the network to process thousands of rollouts per second, continuously refining models to excel in complex reasoning, coding, and mathematics.

What Makes grail Unique

• Verifiable Inference: Unlike standard training environments, grail uses the GRAIL (Guaranteed Rollout Authenticity via Inference Ledger) protocol to ensure that model outputs are cryptographically tied to specific inputs and identities.
• Vertical Integration: It completes a full decentralized AI stack, integrating with Templar (SN3) for pre-training and Basilica (SN39) for verifiable GPU compute.
• Environment Agnostic: The framework is modular, supporting diverse training scenarios ranging from Triton GPU kernel generation to math word problems (GSM8K) and Python code completion.
• Bandwidth Efficiency: The project utilizes asynchronous training and delta checkpoint publishing, which can reduce required bandwidth by up to 99% compared to full model updates.

What Can You Use grail for?

• Model Fine-Tuning: Users can leverage the subnet's infrastructure to perform reinforcement learning post-training on foundation models to align them with specific tasks.
• Cryptographic Verification: Developers can ensure the authenticity of AI-generated content through the protocol's index derivation and sketch commitments.
• Decentralized AI Development: The platform provides a permissionless environment for researchers to monetize machine intelligence work and contribute to global model alignment.
• High-Performance Computing: Miners utilize specialized hardware, such as A100 or H100 class GPUs, to generate and evaluate complex Triton kernels for the network.

How Does grail Work?

grail operates through a coordinated cycle involving miners, validators, and a trainer. The process begins with problem generation, where the network uses public randomness derived from drand—a distributed randomness beacon—to create unique challenges. Miners then generate multiple rollouts for these problems using the active model checkpoint and submit them along with cryptographic proofs.

Validators verify these proofs to confirm the rollouts were produced by the correct model and evaluate their accuracy, such as checking if a generated GPU kernel runs correctly. Miners are scored based on the quantity and validity of their unique rollouts using a superlinear reward curve. Finally, a trainer collects the data to run Group Relative Policy Optimization (GRPO) training—a method for refining AI models based on relative performance—publishing updated checkpoints to the network. As an application utility token, the asset facilitates these protocol service fees and reward distributions within the subnet.

Team Info and Investors

grail is developed by the One Covenant team, a group focused on building an end-to-end decentralized training stack on Bittensor. The project is part of a broader ecosystem that includes Templar and Basilica, aiming to create interplanetary intelligence through vertically integrated AI subnets. While the source material does not specify individual founders or traditional venture capital backing, the project is structured as a community-driven subnet within the Artificial Intelligence (AI) sector of the Bittensor network.

Where can you buy grail?

SN81 tokens can be traded on decentralized exchanges. The most popular exchange to buy and trade grail is Subnet Tokens, where the most active trading pair SN81/SN0 has a trading volume of $79,768.63 in the last 24 hours.

What is the daily trading volume of grail (SN81)?

The trading volume of grail (SN81) is $79,768.63 in the last 24 hours, representing a -25.80% decrease from one day ago and signalling a recent fall in market activity. Check out CoinGecko’s list of highest volume cryptocurrencies.

What is the highest and lowest price for grail (SN81)?

grail (SN81) reached an all-time high of $9.33 and an all-time low of $1.42. It’s now trading -83.50% below that peak and 9.00% above its lowest price.

What is the market cap of grail (SN81)?

Market capitalization of grail (SN81) is $6,033,793 and is ranked #1415 on CoinGecko today. Market cap is measured by multiplying token price with the circulating supply of SN81 tokens (3.9 Million tokens are tradable on the market today).

What is the fully diluted valuation of grail (SN81)?

The fully diluted valuation (FDV) of grail (SN81) is $6,033,793. This is a statistical representation of the maximum market cap, assuming the maximum number of 21 Million SN81 tokens are in circulation today. Depending on how the emission schedule of SN81 tokens are designed, it might take multiple years before FDV is realized.

How does the price performance of grail compare against its peers?

With a price decline of -8.90% in the last 7 days, grail (SN81) is underperforming the global cryptocurrency market which is down -5.10%, while outperforming when compared to similar Artificial Intelligence (AI) cryptocurrencies which are down -10.10%.