Clore.ai (CLORE): tokenomics, risks and score
A GPU rental marketplace running on its own proof of work chain, where the same hardware can mine or be rented out for compute.
What Clore.ai is, and what it does
This is an AI or compute network. It coordinates machine learning work, hardware or data across many independent participants instead of one company's data centre.
What the CLORE token itself does: Fees are used to buy and destroy the token, so usage of the protocol permanently reduces the supply.
Where it runs: Clore. Mechanism: Proof of work chain for GPU rental. It has been running since 2022, so roughly 4 years.
The facts
- TICKER
- CLORE
- SECTOR
- AI and compute
- CHAIN
- Clore
- LAUNCHED
- 2022, so around 4 years of operating history
- MECHANISM
- Proof of work chain for GPU rental
- MAXIMUM SUPPLY
- 1.3 billion
- VALUE CAPTURE
- Buyback burn
- UPGRADE CONTROL
- Immutable
- VESTING
- In progress
- LIQUIDITY BAND
- Micro cap. Thin, often a single venue or pool. Treat the quoted price as indicative only.
How the score breaks down
Each dimension is explained on the directory page, and the reasoning behind it is taught in the Academy research process.
Supply and value capture
A hard maximum supply that cannot be raised without the agreement of essentially every participant. Fees are used to buy and destroy supply, so usage reduces the number of tokens outstanding.
Contracts are immutable and there is no admin key. Nobody can change the rules after the fact. Ownership is moderately concentrated. A handful of large holders could move the market.
Where it is strong and where it is not
- Supply is capped, so holders are not diluted indefinitely
- The token captures real protocol revenue rather than relying on speculation alone
- Immutable contracts with no admin key to abuse
- Audited, with published reports
- Thin liquidity. Check order book depth before assuming you can exit
Incident history
No major exploit, collapse or regulatory action on record against this asset.
Our read
The main risk
Pseudonymous team, small scale against funded competitors, and narrow rental demand.
Before you buy anything
Check the contract address against the project's own documentation rather than a search result or a screener link, since impersonation tokens with identical names and logos are listed constantly. Check the order book depth before assuming you can exit at the quoted price. And write down what would make you wrong before you buy, not after. The Academy thesis module covers why that single habit protects more capital than any indicator.