Chain-Based AI Inference Markets: Orbio, Surplus Intelligence, and Antseed Compared

Written by: David Christopher

Compiled by Chopper, Foresight News

Prediction markets have become one of the clearest real-world applications combining cryptocurrency and AI, with project teams significantly lowering the barrier and cost of accessing AI models through on-chain markets.

The core model of such markets is primarily the resale of discounted API call credits and idle inference computing power; some projects also build networks that directly connect demand-side users with independent computing service providers.

This emerging sector features three representative projects: Orbio, deployed on Robinhood Chain, and Surplus Intelligence and Antseed, both deployed on Base. While all three offer low-cost inference services, they differ significantly in service positioning, target users, and token economy design. Below is a comparative analysis of these three projects.

Orbio’s reasoning market primarily serves AI agents. What began as a token distributing OpenRouter credits has evolved into a comprehensive protocol: supporting hundreds of AI models with significant discounts on many, alongside a Launchpad where developers can deploy agents and issue tokens paired with ORBIO for trading.

To meet the needs of agent usage, Orbio has integrated privacy computing capabilities provided by Phala and NEAR AI. Recently, it has also partnered with Mosh to connect with Mosh’s tool ecosystem, helping new agent tokens establish more sustainable token growth mechanisms.

When combined, these capabilities enable agents created on Orbio to exhibit greater autonomy: invoking reasoning compute, managing funds, and even autonomously performing more on-chain actions.

The core of this model is the CREDIT token, where one CREDIT represents $1 worth of inference credit on the Orbio gateway. Agents can use wallet funds to purchase and burn CREDITS in exchange for compute power, ensuring their continuous operation. Tokenizing inference credits enables agents to autonomously procure compute resources to sustain themselves, often at a discounted rate.

For example: The recent market price of CREDIT is approximately $0.47. The agent spends $47 to purchase 100 CREDIT tokens, and after deducting fees, can exchange them for $95 worth of inference credits.

The discount originates from ORBIO’s trading fees, which are converted into CREDIT rewards distributed to users, who can then sell these rewards on the secondary market. Therefore, the higher the trading volume, the more CREDIT rewards can be distributed. Additionally, agent tokens paired with ORBIO on Launchpad form an independent circulating ecosystem.

The question is whether this situation can sustain itself without speculative activity. Although the platform has disclosed relevant data since September, on-chain data shows that the vast majority of issued CREDIT tokens have yet to be used.

Among the three, Surplus Intelligence’s model is the most straightforward—it is essentially an AI compute aggregation marketplace. The project is built on the Base chain, allowing service providers to list model APIs such as OpenAI, Anthropic, Venice, and OpenRouter, set their own prices, and benefit from market competition that continuously drives down usage costs.

After receiving a reasoning request, the platform assigns it to the corresponding service provider according to routing rules. Buyers can pay via credit card or USDC, and agents can also integrate and invoke the service. Its simple and straightforward model has made it the platform with the highest public usage among the three projects. Surplus has disclosed that the platform has processed a large volume of reasoning requests, with many invocation costs even below one cent.

Beyond low pricing, Surplus is enhancing its competitiveness with new features, including the recent launch of key obfuscation. Once enabled, the system automatically replaces sensitive information such as API keys and private keys with placeholders before forwarding prompts to the model provider. The provider can only see the placeholders; the platform restores the original information after receiving the response. This feature is particularly beneficial for agents that handle keys, though the platform still retains access to the original prompts.

Despite high usage, Surplus’s product and token have the weakest association. The SURPLUS token cannot be used to pay for inference fees, does not participate in compute routing and scheduling, and there is no publicly available mechanism to distribute market revenues to token holders. This situation may change in the future, as the team is working on a plan to adjust token governance rights, but nothing has been implemented yet. In other words, while this market is operational and activity continues to rise, increased usage has not yet directly translated into token value.

Orbio focuses on agent-based scenarios, Surplus competes on low pricing, while Antseed has taken a different path, positioning itself as the "BitTorrent of AI reasoning."

It does not route requests through a centralized gateway; instead, it builds an open compute discovery network that connects various AI models, allowing service providers to independently deploy their computing power. Buyers can autonomously search for available service providers, connect to routing APIs, and freely choose their computing power providers.

The advantage of this model is its flexibility. The network is open to all service providers, offering a highly diverse range of computing power: from affordable, popular models to specialized model verification services that confirm whether providers are truly delivering the models they claim. Buyers can choose service providers based on their own needs, rather than being assigned by a centralized gateway.

The project token ANTS is not yet publicly traded, and its tokenomics are designed around a reputation system for this market. Both buyers and sellers can participate in staking; service providers who stake tokens can enhance their reputation and qualify for rewards.

Unlike Orbio, its reward funding does not come from trading fees. Antseed relies on treasury funds to distribute rewards, and while other revenue sources may be opened in the future, the corresponding mechanisms have not yet been implemented. Therefore, the assumed positive correlation between demand growth and token value has not yet been validated.

Interestingly, the differentiation among these three projects goes beyond just competing on price: Orbio focuses on the agent赛道, enabling agents to autonomously acquire or even self-fund computing power; Surplus emphasizes ultra-low pricing combined with practical features like key obfuscation; and Antseed builds an open P2P computing power market where users can select service providers according to their needs.

As the project continues to evolve, more features will be introduced to attract users. Will it be a new computing power revenue model? Or a comprehensive ecosystem tailored for agent development? Let’s wait and see.