DGrid AI (DGAI) کی قیمت

What Is DGrid AI (DGAI) and How Does It Work?

DGrid AI (DGAI) is a decentralized AI infrastructure project designed to connect users and developers with AI models, service providers, and distributed node operators. Its main product is an OpenAI-compatible gateway that gives developers access to more than 200 text, reasoning, coding, image, and multimodal models through a single API. This reduces the need to maintain separate integrations, billing systems, and access credentials for each model provider.

The network combines intelligent request routing, distributed inference nodes, on-chain settlement, and a Proof of Quality (PoQ) framework. When a user submits an AI task, DGrid routes the request according to factors such as task type, cost, latency, and historical performance. Node activity and service quality are intended to be recorded and verified so that users can review how an inference task was completed and billed.

DGAI is the native utility token that connects these participants. It is designed for node staking, AI-service payments, ecosystem rewards, and protocol governance. Demand for DGAI may grow if more developers use the gateway, more providers join the model marketplace, and more nodes stake tokens to serve network traffic. Token performance still depends on adoption, liquidity, supply releases, and broader crypto market conditions.

When Did DGrid AI Launch?

DGrid AI began its infrastructure development phase in the first half of 2025. The project published its website and litepaper, completed a seed financing phase, and operated a testnet during the second half of 2025. Its AI Gateway and AI Arena entered the mainnet expansion phase in the first half of 2026, alongside x402 payment integration and broader multi-chain support.

The DGAI token entered its public market-launch phase in August 2026. Official project updates published the BNB Smart Chain contract, announced an Arbitrum deployment, and activated validator-node staking shortly after the token launch. The project is now moving from product rollout toward on-chain governance, agent infrastructure, and broader ecosystem participation.

Who Created DGAI?

DGAI was developed by the DGrid AI team as the economic coordination token for the DGrid network. Official legal materials refer to the DGrid Foundation and project contributors, while the reviewed public documentation does not identify individual founders by name.

This limited founder disclosure means users should evaluate the project through verifiable product activity, smart-contract transparency, network adoption, security practices, and delivery against the published roadmap. Claimed backers and ecosystem relationships should also be checked against direct announcements from the organizations involved.

DGrid AI Roadmap

• Activate AI DAO governance: DGrid plans to introduce on-chain proposals and voting so staked DGAI holders can participate in decisions covering fees, supported models, treasury spending, and protocol upgrades.


• Launch the Agent Launchpad: The planned launchpad is intended to help developers deploy and distribute AI agents through the DGrid ecosystem.


• Expand the Model and Agent Market: DGrid aims to give model providers and agent developers a marketplace where they can publish services, set prices, and receive usage-based payments.


• Release DGrid Scan and improve network transparency: The planned explorer is expected to make network activity, settlement, and service records easier to review.

Roadmap items describe planned development and may change. Users should check current product status before assuming that a feature is live.

What Is the DGAI Token Utility?

DGAI coordinates payments, security, incentives, and governance across the DGrid ecosystem. Its value depends on whether these functions become active at meaningful scale and generate sustained demand from users, developers, model providers, and node operators.

1. Staking and network security: Node operators and AI service providers stake DGAI to qualify for network traffic and rewards. Staked tokens act as collateral, and the protocol can penalize nodes for false results, prolonged downtime, or other rule violations. Official documentation states that confiscated tokens are burned.


2. AI-service payments and contributor rewards: Users can pay DGAI for inference and agent services. The network distributes rewards to node operators and service providers according to factors such as compute usage, latency, uptime, and service quality.


3. Protocol governance: Staked DGAI is designed to provide voting power for decisions involving fee parameters, supported AI models, protocol upgrades, and treasury allocation. Governance influence is linked to active staking, while unstaked balances do not contribute voting power.

BingX currently provides a DGAIUSDT perpetual futures market, while its public DGAI purchase guide states that DGAI spot is not listed. Users who choose the futures route should search for the live DGAIUSDT contract, review its status, funding rate, leverage limits, margin requirements, and liquidation rules before placing an order. Futures involve leverage and do not provide ownership of the underlying DGAI token. Spot availability and deposit support should always be checked in the live BingX interface.

What Is DGrid AI Tokenomics?

DGAI has a fixed maximum supply of 1,000,000,000 tokens. Official documentation states that no inflationary minting is planned after launch. Public market data currently reports approximately 150,000,000 DGAI in circulation, although circulating-supply methodologies can change as vesting, bridge balances, and exchange reporting are updated.

The initial circulating amount aligns with two allocations that were fully unlocked at the token generation event: 8% for airdrops and 7% for initial liquidity. The remaining allocations follow longer release schedules. This creates a substantial gap between early circulating supply and maximum supply, so future unlocks and emissions are important factors for traders to monitor.

DGrid also describes a burn mechanism for tokens confiscated from malicious or persistently unavailable nodes. The practical effect of this mechanism will depend on active node participation, enforcement frequency, and the amount of DGAI staked. Traders should compare scheduled releases with actual network usage and token demand instead of treating the fixed maximum supply as the only supply indicator.

DGAI Token Allocation

• 50%: Nodes, 500,000,000 DGAI: Reserved for node operators and infrastructure providers. Tokens are released linearly over 10 years, with emissions halving every two years.


• 15%: Community, 150,000,000 DGAI: Supports ecosystem growth, campaigns, contributor programs, and user incentives. A six-month lock is followed by a two-year linear release.


• 10%: Team incentives, 100,000,000 DGAI: Allocated to core contributors. A one-year lock is followed by a two-year linear release.


• 10%: Investors, 100,000,000 DGAI: Allocated to seed-round backers. A one-year lock is followed by a two-year linear release.


• 8%: Airdrops, 80,000,000 DGAI: Allocated to early ecosystem participants, community contributors, and campaign participants. This allocation was fully unlocked at the token generation event.


• 7%: Initial liquidity, 70,000,000 DGAI: Reserved for launch liquidity and fully unlocked at the token generation event.

The node allocation is the largest source of long-term emissions. Team, investor, and community releases may also increase tradable supply after their lock periods end. Investors should track official vesting updates, treasury movements, and large-holder concentration as the token matures.

What Blockchain Does DGrid AI Operate On?

DGAI is an EVM-compatible token with official contract deployments on BNB Smart Chain and Arbitrum One.

• BNB Smart Chain contract:0x10D4183389e99233db3cc981c43443Ebd28Ebd5e


• Arbitrum One contract:0x12C2dE43878FB1A06C1Ead481f11E0C693a719c7

The primary token standard is BEP-20 on BNB Smart Chain, and the official documentation also publishes an Arbitrum contract for multi-chain use. This structure can give users access to different wallets and liquidity venues, while adding bridge, contract-selection, and network-selection risks. Always verify the chain and contract address before transferring or swapping DGAI. Sending tokens through an unsupported network can result in permanent loss.

Which Wallets Support DGAI?

For active traders, the BingX Exchange Wallet is convenient only when the live platform confirms DGAI deposit support on the selected network. The current public BingX guide states that DGAI spot is not listed, so users should not send DGAI to a BingX deposit address unless the asset and network appear as supported in the live deposit interface.

For self-custody, DGAI can be managed with EVM-compatible wallets such as MetaMask, Trust Wallet, and Rabby Wallet. Users must add the correct BNB Smart Chain or Arbitrum One contract if the token does not appear automatically. Hardware wallets such as Ledger or Trezor can provide an additional security layer when used through a compatible EVM wallet interface.

Before receiving DGAI, confirm the network, contract address, wallet compatibility, and gas-token balance. BNB is normally required for BNB Smart Chain transactions, while ETH is used for gas on Arbitrum One.

Is DGrid AI (DGAI) a Good Investment?

DGrid AI may appeal to investors who expect decentralized AI inference, model aggregation, verifiable service quality, and programmable AI payments to become important Web3 infrastructure categories. Potential value drivers include developer adoption of the AI Gateway, growth in paid inference activity, expansion of the model marketplace, demand for node staking, and activation of token-based governance.

The project also carries material risks. Decentralized AI infrastructure is highly competitive, and many users may continue to prefer established centralized providers. Several network features depend on roadmap execution and real node decentralization. DGAI has a large maximum supply relative to its early circulating supply, which creates unlock and emission risk. Additional concerns include smart-contract vulnerabilities, bridge risk, uncertain regulatory treatment, liquidity volatility, founder transparency, and the possibility that product usage does not translate into lasting token demand.

Traders should monitor gateway usage, paying-user retention, independent node participation, staking concentration, token unlocks, treasury activity, contract audits, liquidity depth, and delivery of the AI DAO and marketplace roadmap. DGAI should be assessed as a high-volatility utility token tied to an early-stage infrastructure network, not as a guaranteed proxy for growth in the broader AI sector.