| Time Period | Price Change (USD) | Price Change (%) |
|---|---|---|
| Today | $ -0.030 | -9.62% |
| 30 Days | $ 0.061 | +27.34% |
| 60 Days | $ 0.26 | +1,138.31% |
| 90 Days | $ 0.27 | +2,062.06% |
Dolphin (POD) is the token associated with the Dolphin Network on Base, an AI-focused crypto project connected to the dphnAI Dolphin model ecosystem. Public market pages list POD as a crypto asset on the Base network, and Dolphin's public Hugging Face organization describes the project as focused on AI model development and distributed inference. The project is commonly presented around open-weight model access, inference services, and a network model in which compute contributors can help serve model requests.
For users researching the Dolphin price, the key point is that POD is not simply a brand name or an unrelated dolphin reference; it is a listed crypto token tied to the Dolphin Network on Base. Market data sources also note that Dolphin previously used the DPHN ticker and migrated to POD, so users should pay attention to the current POD identity when reading older project references.
The Dolphin Network on Base is described as an application-layer inference network rather than a general-purpose chain. Its product direction centers on routing model requests to available compute, with POD used as the token around network incentives, staking or bonding mechanics, and ecosystem participation. In this model, inference demand matters because useful model access can create a reason for developers, users, and node operators to interact with the network.
Public research descriptions of the Dolphin inference network refer to a peer-to-pool design, where requests enter a shared pool and are served by eligible compute participants instead of relying only on direct one-to-one matching. This approach is meant to make idle GPU capacity more usable for open-weight model serving. The project also emphasizes its own model lineage, including Dolphin-branded models hosted through public AI model repositories, which gives the protocol a product layer beyond token trading.
POD's role should be understood with caution: token utilities, rewards, lockups, and any revenue-linked mechanics can change as a young network evolves. For a KCEX price page, Dolphin (POD) is best framed as a Base ecosystem AI inference token whose value depends on measurable usage, transparent token mechanics, and continued progress from the Dolphin product stack.
The main use case for Dolphin (POD) in the Dolphin Network on Base is participation in an AI inference ecosystem. Users searching for long-tail topics such as Dolphin POD AI inference token, Dolphin Network Base token, POD token utility, or Dolphin distributed inference crypto are generally looking for how the token connects to compute, model access, and network incentives.
Potential use cases include supporting access to Dolphin model services, rewarding compute contributors, coordinating staking or bonding requirements for service providers, and giving the community a token around the Dolphin product ecosystem. Developers may follow Dolphin because public model releases can be used for chatbots, role-play interfaces, synthetic data workflows, game characters, worker agents, and other model-serving applications. These use cases depend on the Dolphin Network on Base continuing to convert model interest into real network demand.
The value of Dolphin (POD) is influenced by ecosystem growth, adoption, utility, market demand, and narrative-specific factors around model usage and inference infrastructure. For the Dolphin Network on Base, the most important drivers are whether AI model demand translates into repeat usage, sustainable token utility, reliable liquidity, and transparent network economics.
Broader AI industry growth can increase attention on tokens linked to model access, inference, and developer tooling. For Dolphin (POD), this matters because the Dolphin Network on Base is positioned around AI model development and distributed inference. If more users seek open-weight model services, POD may receive more interest from market participants tracking infrastructure-linked crypto assets.
Compute demand is central to Dolphin because inference requires available GPU capacity and efficient routing. If the Dolphin inference network can attract useful compute supply and match it with real model requests, POD's utility narrative becomes stronger. Weak demand, unreliable service, or unclear node economics would reduce the link between token activity and actual network usage.
Network adoption measures whether users, developers, and compute operators actually participate in the Dolphin Network on Base. More adoption can improve liquidity depth, usage visibility, and confidence in the token's role. For POD, adoption is especially important because an inference network needs both sides of the market: request demand and service capacity.
Developer activity matters because Dolphin's ecosystem depends on model releases, integrations, user interfaces, and reliable infrastructure. Continued work on the Dolphin model ecosystem can make POD more relevant to builders searching for inference access or application support. Stagnant repositories, limited documentation, or few integrations would weaken the case for long-term utility.
Ecosystem expansion can broaden Dolphin beyond a single model or interface. For the Dolphin Network on Base, growth may include more model types, more user-facing tools, broader developer access, and additional compute participation. Expansion can support demand for POD when it creates practical reasons to use the network rather than only speculative interest.
A coin-specific driver is Dolphin's connection to public Dolphin model releases and the dphnAI presence on AI model repositories. This gives POD a more specific identity than many generic compute tokens. If the Dolphin model ecosystem remains visible among developers and users, that recognition can help support awareness of the token and its related network.
POD's value is also affected by token-specific supply details, locked wallets, circulating supply, and the completed DPHN-to-POD migration. For the Dolphin Network on Base, clear contract information and transparent supply reporting can reduce confusion for users researching Dolphin price data. Unclear tokenomics or changing supply assumptions can increase risk and affect market confidence.
Dolphin (POD) is currently trading at $0.28 USD on KCEX. This reflects a -8.61% change over the past 24 hours.
Dolphin has a market capitalization of $12.62M USD, ranking #967 among all cryptocurrencies. Market cap is calculated by multiplying the current price by the circulating supply.
The current circulating supply of POD is 44.58M out of a maximum supply of 1.00B. This means approximately 4.45% of all POD that will ever exist is already in circulation.
Dolphin reached its all-time high of $0.472979 USD on 2026-05-17. The current price is approximately 40.11% below that peak.
Dolphin hit its all-time low of $0.00007232 USD on 2026-03-10. Since then, POD has gained over 391,564.82% from that level.
You can buy POD on KCEX by creating a free account, completing verification, and depositing funds via crypto transfer. POD/USDT is available for both spot trading and futures trading on KCEX.
Dolphin is currently priced at $0.28 USD with a 24h change of -8.61% and a 7-day change of -2.13%. Investment decisions depend on your own research and risk tolerance - always do your own due diligence before trading.
KCEX offers zero maker fees on POD/USDT spot trading. Taker fees are among the lowest in the industry, making KCEX a cost-effective platform for trading Dolphin. For a full breakdown of trading fees, visit the KCEX Fee Schedule.