OpenGradient

OpenGradient

Info

Name
OpenGradient
Symbol
OPG
Network
Base
Market Cap
$30M
Total Supply
1B
Circulating Supply
229.97M
Holders
5,941
Volume (24h)
$177K
+420.69%
Trades (24h)
1,809
+236.25%
Traders (24h)
287
+208.60%
All-Time High
$0.39
All-Time Low
$0.10
Liquidity
$431K
Created (~6 mo old)
Mar 2026

About

OpenGradient is the Network for Open Intelligence — a decentralized infrastructure network designed to host, inference, and verify AI models at scale. Rather than functioning as a standalone blockchain, OpenGradient operates as a specialized AI coprocessor: it enables applications, blockchains, and autonomous agents to outsource computationally-heavy AI tasks to a dedicated network of GPU and Trusted Execution Environment (TEE) nodes. The validator set verifies every computational proof (TEE attestation or zkML proof) at the consensus level before it is committed on-chain, enabling trustless usage of AI from any network or application.

FAQ

The market capitalization of OPG is $30M as of Sep 21, 2026.

Market capitalization is calculated by multiplying the current price of OPG by its circulating supply. It reflects the overall value of the token in the market and helps gauge its relative size compared to other cryptocurrencies.

The daily trading volume of OPG is $177K as of Sep 21, 2026.

Trading volume can fluctuate based on market conditions, investor activity, and overall demand for OPG.

The total supply of OPG is 1B.

The circulating supply, which represents the number of OPG currently available in the market, is 229.97M as of Sep 21, 2026.

OPG can be bought and traded on a variety of cryptocurrency platforms, including Phantom!

Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.

Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.