OpenGradient

OPG Rank #542
Market Signal Market Signal is a price-based 0–100 indicator combining 24-hour to one-year momentum, logarithmic position between the all-time low and high, recency of those milestones, and whether 24-hour volume change confirms the latest price move. It describes current market conditions, not a price forecast.
Bearish

30D -8.2% 74.5% below ATH

Price-based current market conditions indicator with 92 percent data coverage. This is not a price forecast.
$0.12
Updated Data via CoinMarketCap
Market cap The current market value of coins already in circulation.
$29.28M
DePIN Dominance This asset's share of the DePIN category's total market capitalization, calculated by dividing its market cap by the combined market cap of assets in its primary CryptoSlate category.
0.3%
Volume (24h) The estimated total value traded across exchanges over the past 24 hours.
$8.86M
Supply The circulating supply compared with the protocol-defined maximum supply.
238.1MMaximum supply: 1B
FDV Fully diluted valuation estimates the market value if the project's fully diluted token supply were circulating at the current price.
$123.01M

OpenGradient price chart

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Why OpenGradient is bearish

Bearish 40 92% data coverage Market Signal explains the weighted evidence behind the current price-based label. It describes current conditions and is not a price forecast.

Logarithmic historical position weighs on it. The available evidence produces a bearish reading rather than a price forecast.

Score drivers

Each bar shows how a formula-weighted input pulls the composite reading below or above its neutral midpoint.
Momentum 55% weight −4 pts
Historical position 20% weight −6 pts
Milestone recency 15% weight 0 pts
Volume confirmation 10% weight 0 pts

Historical position

The current price is placed between the all-time low and high on a logarithmic scale, matching the formula input.
Log scale · formula input Logarithmic placement gives equivalent percentage moves comparable visual distance across the full historical range.

Momentum evidence

These are the price-change horizons used by the Market Signal momentum component.
24H
Down 3.75%
7D
Down 4.47%
30D
Down 8.23%
Highest weight
90D
Up 19.91%
1Y
Unavailable

Market context

Not directly scored These supporting values provide context and are not directly included in the displayed signal score.
CEX volume (24h) The estimated centralized-exchange trading volume over the past 24 hours.
$8.47M
DEX volume (24h) The estimated decentralized-exchange trading volume over the past 24 hours.
$386.97K
Total supply The total number of tokens that currently exist, excluding any that have been verifiably burned.
1B
How this score is calculated Model v1.0 · Current conditions, not a forecast.

What it measures

The model converts price momentum, logarithmic historical position, milestone recency, and short-term volume confirmation into one 0–100 score. Missing evidence lowers data coverage instead of counting as neutral.

Configured model weights

Momentum
55% weight
Historical position
20% weight
Milestone recency
15% weight
Volume confirmation
10% weight

When inputs are missing, these configured weights are renormalized across the available evidence; data coverage records what is missing.

How to read it

50 is the neutral midpoint. Scores of 60 or higher are bullish, 40 or lower are bearish, and 41–59 are neutral.

OpenGradient Markets

Loading market data Updated

Showing 10 spot markets sorted by CoinMarketCap exchange rank. Markets excluded from CMC price or volume calculations are hidden.

Pair
1 OPG/USDT $0.12 $367.51K 561
2 OPG/TRY $0.12 $53.1K 527
3 OPG/USD $0.12 $22.45K 353
4 OPG/KRW $0.12 $281.32K 321
5 OPG/BTC $0.11 Best price $0 1
6 OPG/USDT $0.12 $117.78K 219
7 OPG/USDT $0.12 $11.54K 370
8 OPG/USDT $0.12 $59.84K 452
9 OPG/USDT $0.12 $2.88K 188
10
PancakeSwap Infinity CLAMM
OPG/USDC $0.12 $397.5K 408

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About OpenGradient

OpenGradient (OPG) is a blockchain-based artificial intelligence infrastructure project focused on decentralized AI computation, model deployment, and open access to machine learning resources. The platform aims to create a permissionless ecosystem where developers, researchers, and enterprises can deploy, share, and monetize AI models using decentralized infrastructure rather than relying solely on centralized cloud providers.

By combining blockchain coordination with distributed AI resources, OpenGradient operates at the intersection of Web3 and artificial intelligence, supporting transparent, scalable, and community-owned AI infrastructure.

Overview

OpenGradient is designed as a decentralized AI network that allows participants to contribute compute resources, publish machine learning models, and access AI services through blockchain-native infrastructure. The project focuses on reducing barriers to AI deployment while improving transparency and ownership of model ecosystems.

This approach aligns with the growing demand for open-source and decentralized alternatives to centralized AI platforms.

Core Features

OpenGradient provides several features designed to support decentralized AI operations:

  • Distributed AI compute infrastructure
  • Decentralized model hosting and deployment
  • Permissionless access to machine learning resources
  • Token-based incentives for contributors and operators
  • Transparent onchain coordination of AI services

These features are intended to improve accessibility, ownership, and scalability across AI ecosystems.

OPG Token Utility

The OPG token functions as the native utility and coordination asset within the OpenGradient ecosystem. It supports transactions, incentives, and governance across decentralized AI services.

Key utilities of the OPG token include:

  • Payments for compute and model usage
  • Rewards for infrastructure providers
  • Governance participation and protocol decisions
  • Access to premium AI services and deployments
  • Economic alignment across network participants

The token model is designed to create sustainable incentives for long-term network growth.

Technology and Infrastructure

OpenGradient combines blockchain-based coordination with distributed computing infrastructure to support AI model deployment and inference. Smart contracts help manage access, payments, and network participation, while distributed nodes provide computational resources.

Key infrastructure components include:

  • Decentralized compute node networks
  • AI model deployment frameworks
  • Onchain service coordination and payments
  • Distributed storage for model hosting
  • Permissionless developer access layers

This architecture supports scalable and transparent AI service delivery.

Use Cases

OpenGradient supports multiple use cases across AI and Web3 ecosystems:

  • Decentralized machine learning inference
  • AI model deployment without centralized cloud dependency
  • Tokenized compute marketplaces
  • Enterprise access to distributed AI infrastructure
  • Open-source AI collaboration and monetization

These use cases reflect increasing demand for decentralized AI infrastructure as machine learning adoption accelerates globally.

Market Position

OpenGradient operates within the decentralized AI infrastructure sector, alongside projects focused on distributed compute, AI marketplaces, and blockchain-native model coordination. Its emphasis on open access and decentralized ownership helps differentiate it from centralized AI providers.

As AI infrastructure becomes more strategically important, decentralized alternatives may play a larger role in compute access and model distribution.

Risks and Considerations

As an emerging decentralized AI platform, OpenGradient faces several considerations:

  • Competition from major centralized AI cloud providers
  • Scalability challenges for distributed compute networks
  • Adoption barriers for developers and enterprises
  • Regulatory developments around AI and data governance

These factors may influence long-term ecosystem adoption and sustainability.

Role in the Crypto Ecosystem

OpenGradient represents a growing class of projects merging artificial intelligence with decentralized infrastructure. By enabling open access to compute and model deployment, the platform aims to decentralize one of the most important technology sectors of the modern economy.

The OPG token plays a central role in coordinating participation and value exchange across the network. As AI and blockchain continue to converge, projects like OpenGradient highlight the evolution of community-owned digital infrastructure.

OpenGradient Token Contracts

OpenGradient Technical Details

Circulating Supply 238,062,500
Total Supply 1,000,000,000
Max Supply 1,000,000,000

OpenGradient FAQs

What is the price of OpenGradient today?

As of Oct 23, 2026, OpenGradient trades at $0.12.

What is the market cap of OpenGradient?

OpenGradient has a market capitalization of $29,282,920.65.

What is the 24-hour trading volume of OpenGradient?

OpenGradient has a 24-hour trading volume of $8,856,666.71.

What is the all-time high of OpenGradient?

OpenGradient reached an all-time high of $0.48, recorded on Apr 22, 2026. It is currently 74.49% below its all-time high.

What is the all-time low of OpenGradient?

OpenGradient recorded an all-time low of $0.082, recorded on Aug 28, 2026. It is currently 50.66% above its all-time low.