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Chutes (CHUTES): tokenomics, risks and score

40/100SCORE · DCaution Grade D, caution

A serverless AI inference service operating as a Bittensor subnet, serving open source models at prices well below commercial APIs.

What Chutes 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 CHUTES token itself does: It can be staked to earn rewards, though a large part of those rewards is newly issued token rather than earned revenue.

Where it runs: Bittensor. Mechanism: Bittensor subnet for serverless AI inference. It has been running since 2025, so roughly 1 years.

The facts

TICKER
CHUTES
SECTOR
AI and compute
CHAIN
Bittensor
LAUNCHED
2025, so around 1 years of operating history
MECHANISM
Bittensor subnet for serverless AI inference
MAXIMUM SUPPLY
Governed by the Bittensor emission schedule
VALUE CAPTURE
Staking only
UPGRADE CONTROL
DAO governed
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

track record5/20
tokenomics9/20
transparency10/15
decentralisation8/15
adoption5/15
liquidity3/15

Each dimension is explained on the directory page, and the reasoning behind it is taught in the Academy research process.

Supply and value capture

High ongoing issuance. New tokens are minted continuously and holders are diluted unless they participate. Holders can stake to earn rewards, though much of that reward is newly issued rather than earned revenue.

Changes go through token holder governance, so control is distributed but influenced by whoever holds most. Ownership is heavily concentrated. A small number of wallets hold enough to determine the price on their own.

Where it is strong and where it is not

✓ Strengths
  • Genuine sustained usage rather than incentive driven activity
  • Fully open source, so the code can be independently reviewed
✗ Weaknesses
  • Heavily concentrated ownership means a few wallets control the outcome
  • High ongoing issuance dilutes holders who do not actively participate
  • Thin liquidity. Check order book depth before assuming you can exit
  • Short operating history, so it has not yet been tested by a full market cycle

Incident history

No major exploit, collapse or regulatory action on record against this asset.

Our read

It is one of the few AI crypto products with genuinely large measurable usage, serving a very high volume of real inference requests. Its economics depend on the Bittensor emission schedule continuing to subsidise providers, which means the low pricing is partly funded by token issuance rather than by the service being cheaper to run.

The main risk

Low pricing is partly funded by token emissions rather than genuine cost advantage, and the team is pseudonymous.

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.

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RISK WARNING Crypto assets are highly volatile and largely unregulated. You can lose everything you put in. Nothing on this page is financial, investment or tax advice, and nothing here is a recommendation to buy or sell any asset. Do your own research and never commit money you cannot afford to lose.