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What is Fetch.ai?

Fetch.ai (FET) is a Cambridge, UK-based decentralized artificial intelligence platform that lets autonomous software 'agents' search, negotiate, and transact on behalf of users, businesses, and connected devices. It was founded in 2017 by Humayun Sheikh (CEO, an early investor in DeepMind), Toby Simpson (former Head of Software at DeepMind), and Thomas Hain (Professor of Speech and Language Technology at the University of Sheffield). The project launched its mainnet and FET token via a Binance Launchpad IEO in February 2019, raising approximately $6 million in under 22 seconds.

The core of Fetch.ai is a Cosmos-SDK-based Layer-1 blockchain paired with an Agentverse marketplace, the uAgents Python framework, and the DeltaV natural-language search layer, which together allow developers to deploy AI agents that can discover each other, bargain, and settle economic transactions on-chain. These agents are already used in pilots across parking, mobility, DeFi yield optimization, energy grid balancing, and travel booking, and Fetch.ai has been actively expanding its GPU compute network (Fetch Compute) to support open-source large language model workloads.

The most consequential development in the project's history came in March 2024, when Fetch.ai announced the Artificial Superintelligence (ASI) Alliance, a merger with SingularityNET (AGIX) and Ocean Protocol (OCEAN) to form what the teams describe as the largest open-source, independent decentralized AI network. In the merger's first phase, on 1 July 2024, AGIX and OCEAN were converted into FET, which still trades under the FET ticker. The alliance's documentation now lists Fetch.ai, SingularityNET and CUDOS as members; the Ocean Protocol Foundation resigned in October 2025.

Notable partnerships include Bosch (co-founding the Fetch.ai Foundation for mobility and IoT use cases), Deutsche Telekom's MMS subsidiary (which runs Fetch.ai validators and integrates agent technology), Yoti for decentralized identity, and Festo for industrial automation. Fetch.ai has also collaborated with the University of Cambridge and has been featured in Google Cloud's Web3 case studies for agent-based applications.

Current state of the ecosystem is defined by the continued growth of Agentverse, which surpassed tens of thousands of registered agents in 2024. FET reached its all-time high on March 28, 2024, riding both the broader AI narrative and the alliance announcement, before settling into a more typical range alongside the rest of the AI-token sector. Controversies have been limited but include community debate over the governance balance between the three merging projects and questions about how quickly real-world agent revenue will scale versus speculative demand.

Key Features of Fetch.ai

• Autonomous AI Agents: Fetch.ai's uAgents framework lets developers deploy Python-based autonomous agents that discover peers, negotiate, and execute on-chain transactions without human intervention. These agents can run 24/7 on Agentverse-hosted infrastructure or self-hosted nodes.
• ASI Alliance Integration: FET is the ASI Alliance's token: in July 2024 AGIX and OCEAN were converted into it, joining Fetch.ai's agents and SingularityNET's AI marketplace under one liquid token. The alliance now also lists CUDOS as a member, while the Ocean Protocol Foundation left it in October 2025.
• Cosmos-SDK Layer-1: The Fetch Chain is built on Cosmos-SDK with Tendermint consensus, offering low-latency finality, IBC interoperability, and CosmWasm smart contracts. Validators stake FET to secure the chain and earn block rewards plus agent-service fees.
• DeltaV Natural-Language Layer: DeltaV acts as a conversational front end that routes user requests to the most relevant agents in the Agentverse marketplace. It effectively turns autonomous agents into services callable through plain English prompts.
• Fetch Compute GPU Network: Fetch Compute provides decentralized GPU resources for training and inference of AI models, payable in FET. This positions the network against centralized AI-compute providers while feeding directly into ASI's broader AI infrastructure thesis.

Fetch.ai Use Cases

• DeFi Yield Optimization: Autonomous agents continuously scan DEXs, lending markets, and LST protocols to rebalance user positions into the best risk-adjusted yield. Users delegate strategy parameters once and the agent handles execution across chains.
• Smart Mobility and Parking: In partnerships such as Bosch and Datarella, Fetch.ai agents coordinate parking-space discovery, EV charging slot booking, and ride-sharing matchmaking. Vehicles and infrastructure negotiate micro-payments in FET without centralized dispatch.
• Energy Grid Balancing: Agents representing households, batteries, and solar arrays trade surplus energy peer-to-peer, adjusting load in real time to match grid demand. This reduces reliance on centralized utilities for balancing renewable generation.
• Supply Chain Coordination: Manufacturers, logistics providers, and retailers deploy agents that autonomously tender, bid, and settle shipments on-chain. The approach cuts back-office overhead and creates auditable, tamper-evident shipment records.
• AI Service Marketplace: Through the ASI Alliance stack, developers can monetize models, datasets, and agent services, with payments routed in FET. End users call these services via DeltaV prompts or API, paying per call without platform lock-in.

Fetch.ai Tokenomics

Total Supply

FET has a maximum supply of 2.72 billion tokens, with nearly the full supply already unlocked following the end of scheduled emission phases. In the ASI Alliance merger of July 2024, AGIX and OCEAN were converted into FET at fixed rates (1 AGIX = 0.433350 FET, 1 OCEAN = 0.433226 FET).

Circulating

Circulating supply is close to the maximum and changes as staked balances shift.

Utility

FET is used to pay for agent registration and discovery, computational resources on Fetch Compute, and transaction fees on the Fetch Chain. It is also staked by validators and delegators to secure the network, and it powers governance over protocol parameters and ASI Alliance decisions.

Emission

Initial distribution came via the February 2019 Binance IEO plus private and seed rounds, followed by staking rewards emitted from the Fetch Chain. See the ASI Alliance documentation for the current emission plan.

Fetch.ai Historical Price Performance

FET launched via Binance IEO in February 2019. After years of development, FET surged to its all-time high in March 2024 during the AI narrative boom. In July 2024 the ASI Alliance merger converted SingularityNET's AGIX and Ocean Protocol's OCEAN into FET; the Ocean Protocol Foundation left the alliance in October 2025.

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