Fetch.ai (FET) is built around a simple idea: make custom AI services available on a blockchain-based network where software agents can act on their own. The project describes this as a machine-to-machine ecosystem, with AI programs handling tasks across sectors such as supply chain tracking, energy, finance, Web3, and transportation. The stated goal is practical rather than abstract. Automate processes, remove unnecessary intermediaries, and cut overhead.
Founded in 2017, mainnet launched in early 2020
Fetch.ai was founded in 2017 by Thomas Hain, Toby Simpson, and Humayun Sheikh, with backing from Outlier Ventures. It later held an IEO on Binance that raised $6 million in 10 seconds. The team then moved into the network phase, launching the mainnet in early 2020.
The project has also pointed to several industrial and city-focused partnerships. Bosch worked with Fetch.ai on automation and AI data systems for industrial applications, while Datarella joined a smart city trial in Munich, Germany. In that setting, Fetch.ai’s agents could monitor traffic flows and suggest changes to reduce congestion. The concept goes a step beyond monitoring: based on real-time data, the system could potentially adjust traffic lights directly. Energy efficiency is another example cited in the source material.
A four-part architecture powers the network
Fetch.ai breaks its system into four components. AI Agents carry out functions and make decisions. The Agentverse serves as a SaaS environment where those agents are tuned. The AI Engine acts as the interface for user instructions and queries. Then the Fetch Network ties the full stack together.
Transactions on the network are verified through Fetch.ai’s own version of Proof of Stake. FET sits at the center of that design. The token is used for running AI agents, training them, and handling activity tied to smart contracts, network oracles, and transactions. According to the project description, network agents use machine learning to adapt to changing media inputs and live conditions, with the aim of improving efficiency across the system. The architecture is layered, but each piece has a defined role.
How users can buy and store FET
FET is available on several crypto exchanges, including Coinbase, Binance, KuCoin, and Gate.io. Opening an account usually requires identity checks. The exact process varies by platform, though KYC commonly includes a photo ID and documents proving address.
The source notes that FET cannot currently be purchased directly with fiat currencies such as USD or EUR. Users instead need to fund an account by bank transfer and swap into crypto, or deposit crypto straight to an exchange wallet. Once funded, they can buy FET in spot markets. On Binance, the listed trading options include BNB, USDT, USDC, and BTC. A market order executes at the going market price, while a limit order waits in the book until the selected price is met. That route usually takes more effort, but fees can be lower.
For storage, FET can be held in either software or hardware wallets. The material names Ledger Nano S and Trezor as hardware options, highlighting offline storage as the more secure approach in most cases. Software wallets such as MetaMask and TrustWallet offer easier access, though users need to protect private keys and avoid exposing sensitive information online.
Regulatory picture across the US, EU, and Asia
Fetch.ai sits at the intersection of two areas regulators are watching closely: crypto and AI. In the United States, crypto oversight is described as falling mainly under the SEC and the CFTC. The SEC determines whether an asset should be treated as a security, and the source states that FET has not been classified as a security. That means it is not currently subject to securities-specific restrictions. Exchanges offering FET in the US still need to comply with AML and KYC rules. AI itself does not yet have a dedicated regulatory framework in the US, though that could change as adoption expands.
In the European Union, crypto oversight has historically been handled by national regulators, but MiCA is setting out a common framework. The article says MiCA is due to take effect in June 2024. At this stage, there is no indication in the source that MiCA will hurt Fetch.ai’s operations or the availability of FET. The EU also passed the Artificial Intelligence Act in March 2024, but its practical effect on projects like Fetch.ai is still unclear based on the material provided.
Asia presents a mixed regulatory map. Japan and South Korea apply strict AML and KYC requirements. China has banned crypto trading and mining, which sharply limits the room for FET there. Singapore uses the 2019 Model AI Governance Framework, built around human-centric, fair, and transparent AI systems. If similar rules spread across more jurisdictions, they could shape how networks like Fetch.ai are allowed to operate.
Cross-chain expansion, Rust support, and recent market data
On the technical side, Fetch.ai has expanded beyond a single-chain setup by integrating Cosmos’ Inter-Blockchain Communication Protocol. The source says this allows DeFi protocols on different networks to support Fetch.ai technology, pushing the project deeper into interoperability. Another upgrade added support for smart contracts written in Rust, opening the door to more advanced applications on the network.
The partnership list in the source also mentions a link with Deutsche Telekom through the Fetch.ai Foundation. As for market performance, FET recently reached fresh all-time highs as interest in AI projects rose worldwide. The token began trading in June 2019 at about $0.21. Price action stayed relatively quiet from 2019 through 2023, then accelerated sharply in 2024. From February to March, FET climbed by more than 400% and touched $3.20. The source lists its current price at $2.49.
On security, the material says Fetch.ai was audited by Certik and received a 91 out of 100 score. Even so, an audit does not remove risk. Human error and security breaches remain possible.