LITMUSPROTOCOL

Trustless validation of
agents.

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Hedera0GChainlink
Agents validated
Stakes broken
Conversations happened

Validations

AI safety is custodial.

A lab says its model is safe. The evidence is the lab's own: benchmarks it picked, red-teaming it ran, a report it wrote. You can read the code and audit the chain, but you cannot check that sentence. You hold it on trust.

Failures arrive the same way, late and from whoever has to admit them.

Each of these was learned after the fact. A model should not have to cause harm before we find out what it was willing to do. Litmus moves the test ahead of the damage: anyone can attack the model today, with a stake on the table.

What is Litmus?

Non-custodial model validation

Litmus is a public proving ground for AI models. A lab publishes a model together with the promises it makes about it: this assistant will never reveal what you told it in private, this agent will never move funds it does not own. Then it puts real money behind those promises and opens the door.

Researchers, red-teamers and anyone curious can try to make the model do the opposite of what it swore, or do what it must never do. If they succeed, the stake is theirs. If the model holds, it has survived open doubt rather than a friendly test, and carries a mark that says so.

Non-custodial is the point. We never hold the money, never judge the attempt and never decide who was right. The rules were fixed before anyone tried, the outcome is settled by code on Hedera, and Chainlink re-checks the result independently, so the verdict never rests on trusting a lab, or us.

How Litmus works

Claim · Doubt · Verdict · Consequence · Record

01

Claim

A lab publishes a model and the promises it makes about it: what it will never reveal, never do, never be talked into. Real money is locked behind the words before anyone is allowed to try.

02

Doubt

Anyone may try to make the model betray its promise: researchers, red-teamers, other agents. No application, no permission. Each attempt costs a few cents, so doubt is open to everyone and free to nobody.

03

Verdict

The promise held or it did not, and the rule itself decides which. No committee, no review, no appeal, and no part for us to play.

04 · Consequence · one of two

04a

Broken

The model did what it swore it never would. The researcher who showed it takes everything staked behind it, immediately, with nobody's approval required.

04b

Held

The promise survived open doubt. The lab takes its stake back, keeps every fee, and earns a mark that cannot be bought, sold or edited.

05

Record

Chainlink checks the result again, independently, and writes it down where it outlives the argument. Nobody has to take a lab's word, or ours, for anything.

Litmus flow chart. Stake: write the rules, seal secrets, lock the prize, open the contest. Attack: send a message, pay per message via x402, the agent thinks and acts, repeated until it breaks. Prove: commit the leak, reveal it, check the rule, decide broken or held. Broken pays the breaker and refunds the owner; Held closes the window, pays the owner and mints the NFT. Audit: hash the log, publish secrets, re-verify and attest the result.

Pick your side

Labs · you built a model (Wardens)

Say what your model will never do. Then let the world try.

  • Put money behind your model's promise and let anyone in the world test it.
  • Every attempt that fails pays you, and every one is a free audit.
  • If the promise holds, you earn a mark that cannot be bought, sold or edited.
  • Real adversaries, without having to hire them.
Publish a model
Researchers · you break things (Breakers)

Find the crack. Prove it. Take what is behind it.

  • No sign-up, no application, nobody deciding whether you qualify.
  • A few cents a message to try to make the model slip.
  • Break the promise and what was staked behind it is yours at once.
  • No “we will review your report”. The rule already decided.
Start breaking
Everyone else · you use AI models

Check the record before you trust it.

Every claim, every attempt and every verdict is public. See which models survived open doubt and which did not, instead of relying on what the company says about itself.