In 2024, Fetch.ai, SingularityNET, and Ocean Protocol announced their merger to form the Artificial Superintelligence Alliance (ASI Alliance), marking what the market saw as the most ambitious structural overhaul in decentralized AI. All three projects unified under the FET token, aiming to build a full-stack AI infrastructure spanning compute, agent, and data layers. However, this narrative took a major turn in 2025—Ocean Protocol officially exited the alliance and resumed independent operations, breaking the original vision of a closed full-stack loop.
As of May 19, 2026, the FET (ASI) token was listed at $0.1930 on Gate, with a market cap of approximately $435 million, down roughly 73.99% over the past year. The OCEAN token traded at $0.1214, with a market cap of about $76.39 million. AGIX has largely completed its migration to FET, resulting in extremely low market liquidity. This raises a core question: Has the merged full-stack closed loop truly materialized, or is the merger itself being repriced by the market?
Three Turning Points Reshape the Alliance Structure
The formation and fragmentation of the ASI Alliance followed a clear timeline.
First Turning Point: The Merger. In March 2024, Fetch.ai, SingularityNET, and Ocean Protocol jointly announced their merger plans. Their respective tokens—FET, AGIX, and OCEAN—would be consolidated under the FET token system, with the brand upgraded to ASI. Conversion rates were set at 0.433350 FET per AGIX and 0.433226 FET per OCEAN, with the alliance issuing approximately 600 million additional FET tokens.
Second Turning Point: CUDOS Joins. In September 2024, decentralized compute project CUDOS officially joined the alliance, integrating its network and token supply into the ASI ecosystem and providing foundational compute infrastructure. The alliance structure expanded to a four-pillar model: agent layer, service layer, compute layer, and data layer.
Third Turning Point: Ocean Exits. On October 9, 2025, the Ocean Protocol Foundation announced its immediate exit from the ASI Alliance, withdrawing its designated director from the alliance’s Singapore-registered company. After Ocean’s departure, the alliance consisted of Fetch.ai, SingularityNET, and CUDOS, leaving a structural gap in the data layer. At the time of exit, about 81% of OCEAN’s supply had been converted, with roughly 270 million OCEAN remaining across 37,334 addresses.
Ocean attributed its exit to the pursuit of independent funding and governance, also citing internal governance issues within the alliance, including financial decisions and token management disputes made without adequate consultation. It’s important to note: all such allegations are unilateral statements and have not been independently verified.
Compute and Agents: Can the Alliance’s Triangular Loop Hold?
With Ocean’s exit, the ASI Alliance’s tech stack was redefined as a three-pillar structure, forming a "Agent—Compute—Service" triangular closed loop.
On the agent layer, Fetch.ai’s Agentverse platform and ASI Create tools provide interfaces for creating and deploying autonomous agents. The agent economy is scaling rapidly: as of April 20, 2026, over 150,000 AI agents had been deployed on BNB Chain, compared to just 337 across all networks at the start of the year—a growth of over 43,750%.
On the compute layer, CUDOS delivers decentralized GPU infrastructure via the ASI Cloud platform, supporting AI inference and training workloads. The alliance has also planned the ASI Chain testnet, a dedicated blockchain layer for agent coordination and cross-chain operations.
On the model and service layer, the ASI-1 Mini, a Web3-native large language model, has been released, and SingularityNET continues to operate its AI service marketplace.
This triangular loop supports an economic cycle where agents identify needs, leverage compute to execute tasks, and exchange model capabilities via the service marketplace. However, the loop’s critical gap lies in data acquisition. Agents require data to learn and optimize; the service marketplace needs data to train models. With Ocean’s departure, the alliance lacks a native decentralized data marketplace, exposing a structural hole in its architecture.
Data Independence: Ocean Protocol’s Privacy Computing Path
After leaving the alliance, Ocean Protocol accelerated its productization efforts, forming an independent business loop of "Data—Privacy Computing—Decentralized Compute."
Its core tech stack revolves around three tools: Data NFT, Compute-to-Data, and Ocean Nodes. Data NFT enables on-chain data asset verification and version management. Compute-to-Data allows AI models to run computations directly in the data’s environment, returning only results without exposing raw data—crucial for industries with strict privacy compliance such as healthcare and finance. Integration of secure multiparty computation further strengthens the ability to train AI models on sensitive data without compromising privacy.
On the compute layer, Ocean Network has processed over 3,000 compute tasks, offering developers instant access to NVIDIA H200 GPUs at a pay-as-you-go rate of about $2.16 per hour. Since Ocean Nodes launched on August 15, 2024, more than 1.7 million nodes have been installed across 70+ countries and regions. The Ocean Enterprise Collective, comprising 12 organizations across 8 countries and 9 industries, drives compliant enterprise adoption.
From an industry perspective, according to Slator, the global Data-for-AI market was valued at roughly $930 million in 2026 and is projected to grow to $2.15 billion by 2031, with a CAGR of about 18%. Demand for data verifiability and compliance is rising, and Ocean’s Data NFT and Compute-to-Data offer on-chain, auditable solutions. After leaving the alliance, Ocean announced it would use profits from technical spin-off projects to buy back and burn OCEAN tokens, establishing a sustained deflationary mechanism.
Controversy: Governance Struggles Behind the Exit
Ocean’s exit from the ASI Alliance has sparked three levels of debate in the market.
At the community level, clear divisions have emerged. Ocean supporters welcomed the project’s regained independence, believing that autonomous governance would help product adoption and token value capture. OCEAN saw a short-term price spike of about 30% after the exit announcement. Opponents worry that the alliance’s weakened data capabilities will hurt its long-term competitiveness.
At the governance level, both sides present conflicting claims. In its exit statement, Ocean accused SingularityNET of reckless financial operations post-merger, draining market liquidity through the issuance of $100 million in tokens and maintaining monthly expenditures of about $6 million. Fetch.ai’s founder was accused of failing to uphold decentralized governance principles and attempting to force Ocean to convert its independent treasury assets entirely to FET. Ocean claims it requested to exit as early as April 2024 but was blocked by legal threats, ultimately forced to leave through legal means after partners tried to unilaterally shut down the token swap bridge in August 2025. Ocean also pointed out that FET’s token price crashed 93% from its peak, mainly due to heavy selling and failed high-risk trades by partners, not its own exit. The alliance denies these allegations. Once again, all statements are unilateral and have not been independently verified.
At the industry reflection level, the incident has triggered deeper discussions about the feasibility of decentralized alliance governance: When participants retain independent governance and fiscal sovereignty, does a unified token framework provide enough incentive to sustain collaboration? Can token mergers truly create synergistic value when technical paths and business models naturally diverge?
Market Snapshot: Token Prices and Value Reassessment
As of May 19, 2026, Gate market data shows:
FET (ASI) trades at $0.1930, up 1.79% over 24 hours, with a market cap of about $435 million, circulating supply of roughly 2.25 billion tokens, and ranked #132. Over the past 7 days, it’s down 14.38%; 30 days, down 8.58%; 90 days, up 16.75%; one-year drop of 73.99%.
OCEAN trades at $0.1214, up 2.26% over 24 hours, with a market cap of about $76.39 million, circulating supply of around 629 million tokens, and total supply of 1.41 billion. AGIX trades at $0.0007673, with a market cap of only about $71,000, and has largely exited mainstream trading.
Additionally, there is a token named Artificial Superintelligence (ASI) (ranked #6,559), trading at $0.0009000, down 9.09% over 24 hours, with a market cap of about $25,300. This token is a separate asset from the official ASI Alliance token FET/ASI, and investors should be careful to distinguish between them.
Structurally, FET remains one of the higher market cap assets in the AI crypto sector, but has retreated significantly from its post-merger highs. OCEAN’s circulating market cap is much lower than FET’s, but its underlying tech products—data marketplace and Compute-to-Data—have independent commercial value outside the alliance narrative.
Loop Review: The Reality of the Full-Stack Narrative
Synthesizing the above, here’s a judgment on the core issue.
The original three-layer closed loop has collapsed with Ocean’s exit. The current ASI Alliance tech stack forms a "Agent—Compute—Service" triangular loop, with a gap in the data layer. Ocean Protocol has independently built a "Data—Privacy Computing—Decentralized Compute" business loop. Technically, the two are not mutually exclusive—Fetch.ai agents could theoretically access Ocean’s data services—but they have diverged in token economics, governance, and business collaboration.
This split carries dual implications. On the positive side, it shows that different functional layers in decentralized AI require differentiated governance and business models; forced unification can distort incentives. On the negative side, fragmentation deprives decentralized AI of the scale synergy needed to compete with centralized giants, and the separation of agents and data may weaken overall network effects.
Looking ahead, two evolutionary paths are possible: First, the ASI Alliance could fill the data layer gap by building or integrating other data protocols, reconstructing a complete loop. Second, Ocean Protocol could leverage privacy computing and data tokenization to attract more enterprise users, forming a parallel ecosystem alongside the alliance. These paths are not mutually exclusive, but token economics make a future merger unlikely.
Evolution Scenarios: Three Futures in a Tripartite Landscape
Given the current structure, decentralized AI is moving toward narrative fragmentation and layered specialization.
First, the full-stack closed loop narrative is being replaced by specialized layers. The ASI Alliance focuses on agent economy and compute synergy, while Ocean specializes in data marketplace and privacy computing. Each targets a different value segment of the AI industry chain, mirroring the shift in internet infrastructure from vertical integration to horizontal layering.
Second, the independent value of the data tokenization sector is becoming more prominent. As the global AI training data market expands toward $930 million, more enterprises are considering alternatives to centralized data procurement. Ocean’s Data NFT and Compute-to-Data offer on-chain, auditable data provenance and privacy-preserving training solutions, aligning with regulatory frameworks like the EU AI Act.
Third, multiple scenario evolutions are possible. In an optimistic scenario, the alliance’s agent economy scales up and Ocean’s data marketplace sees enterprise adoption, with loose API-level collaboration at the application layer benefiting the overall decentralized AI ecosystem. In a conservative scenario, both develop independently but face user growth bottlenecks—agent economy remains experimental, and the data marketplace struggles to overcome high enterprise adoption barriers. In a risk scenario, centralized AI giants continue to squeeze market space, challenging the commercial viability of decentralized alternatives and further pressuring token values.
Conclusion
The ASI Alliance, born from the merger of three protocols, was once the grandest narrative in decentralized AI—a full-stack closed loop spanning compute, agents, and data. Ocean Protocol’s exit has brought this narrative to a real-world test.
The current landscape is clear: The ASI Alliance, anchored by Fetch.ai, SingularityNET, and CUDOS, forms a "Agent—Service—Compute" triangular loop. Ocean Protocol develops independently, focusing on a "Data—Privacy Computing—Decentralized Compute" business path. Technically, they can interoperate; commercially, each pursues its own model; economically, they seek value capture through separate token mechanisms.
Has the full-stack closed loop taken shape? The original single loop has split, but two more specialized independent loops are now being built. The future of decentralized AI may not lie in a unified alliance’s grand narrative, but in each functional layer proving product-market fit in its own lane. This is both the inevitable result of long-term divergence and a structural signal of the industry’s maturation.
