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Recall (RECALL): tokenomics, risks and score

42/100SCORE · DCaution Grade D, caution

A network where AI agents compete in verifiable skill competitions, producing an objective public record of which agents actually perform well.

What Recall 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 RECALL 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: Recall. Mechanism: Competitive benchmarking network for AI agents. It has been running since 2025, so roughly 1 years.

The facts

TICKER
RECALL
SECTOR
AI and compute
CHAIN
Recall
LAUNCHED
2025, so around 1 years of operating history
MECHANISM
Competitive benchmarking network for AI agents
MAXIMUM SUPPLY
10 billion
VALUE CAPTURE
Staking only
UPGRADE CONTROL
Team controlled
VESTING
Heavy overhang
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
tokenomics11/20
transparency15/15
decentralisation5/15
adoption3/15
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

A hard maximum supply that cannot be raised without the agreement of essentially every participant. Holders can stake to earn rewards, though much of that reward is newly issued rather than earned revenue.

The founding team retains control over upgrades or parameters. 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
  • Supply is capped, so holders are not diluted indefinitely
  • Audited, with published reports
  • Fully open source, so the code can be independently reviewed
✗ Weaknesses
  • Heavily concentrated ownership means a few wallets control the outcome
  • Significant supply is still scheduled to unlock, which is a structural headwind
  • Upgrade control sits with a small group, so the rules can change
  • 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

Objective benchmarking is genuinely missing from the AI agent sector, where claims about capability are mostly unverifiable marketing, so a public competitive record has real informational value. It is very new, unlocks are heavy, and its market depends on the agent sector recovering.

The main risk

Very new with heavy unlocks, and its market depends on a contracted agent sector recovering.

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.