Question 1

What is ALLO?

Accepted Answer

ALLO is the native token of Allora Network. Allora is designed for machine-learning inference: requesters submit an inference request under a topic, workers submit inference results, and the network combines those results with information about their predictive accuracy to produce a network inference for the requester. ALLO is used to exchange value and distribute incentives among service users, providers, and network participants; it does not represent equity in a company.

Question 2

What is ALLO used for in the network?

Accepted Answer

ALLO can be used to buy network-generated inferences, create or participate in topics, and stake or delegate for network participation. Inference purchases use a “pay-what-you-want” model: users decide how much ALLO to pay for an inference rather than having the protocol set a fixed price for every inference. Payment is not merely an action to pay for an output; it also affects a topic’s incentives. If participants in a topic all choose to pay zero fees, the topic’s weight approaches zero, participants in that topic no longer receive rewards, and emissions that would otherwise flow to that topic are redirected to other topics. ALLO fees therefore connect the value requesters are willing to pay with a topic’s ability to continue receiving incentives, but they do not guarantee that any topic or participant will earn rewards.

Question 3

What are Allora topics, and why is ALLO required to participate?

Accepted Answer

A topic is Allora’s unit for organizing demand and collaboration around a category of inference tasks. Requesters buy inferences in a topic; workers submit inferences for that topic; and reputers participate in evaluating result performance. The network then synthesizes the results from different workers and information related to their accuracy into a network inference. Creating a topic or registering for one as a worker or reputor requires payment in ALLO. This registration fee does not guarantee inference accuracy; it is part of the mechanism for entering participation in the relevant topic. Whether a topic can continue generating participant rewards also depends on whether it has paid demand and on the network’s reward rules.

Question 4

Can ALLO be staked or delegated?

Accepted Answer

Yes. Reputers and network validators can stake ALLO, while token holders can delegate ALLO to either role without operating that role themselves. The official documentation lists staking reputers, network validators, and delegators as participants that may receive ALLO rewards. Staking and delegation here support participation in network roles and the distribution of incentives; they are not simply interest earned by depositing tokens. Actual rewards depend on applicable network rules and participation outcomes. Delegators should distinguish delegating tokens to a role from participating in the network as that role themselves, and should confirm the then-current delegation, withdrawal, and reward rules before acting.

Question 5

What are ALLO’s supply and issuance model?

Accepted Answer

ALLO has a maximum total supply of 1 billion tokens. Official tokenomics documentation describes a capped-supply framework with emissions that decline over time to continue incentivizing network participants. “Maximum supply” is a cap; it is not the same as circulating supply or the amount immediately tradable at a given time. Current mint parameters divide supply into categories including the ecosystem treasury, foundation treasury, participants, investors, and the team. The parameter page shows that the ecosystem treasury portion is reserved and locked, the foundation treasury and participant portions are available at genesis, and the investor and team portions are locked at genesis. Category percentages or unlock status cannot substitute for an assessment of actual circulating supply, which is also affected by subsequent releases and on-chain state.

Question 6

How does Allora produce a network inference?

Accepted Answer

Allora’s network inference does not simply select one worker’s answer. The network combines inferences from different workers with information reflecting their predictive accuracy to provide requesters with a synthesized network inference. Requesters therefore buy an output produced by the network, while workers participate in topics around their respective results. ALLO links value and incentives throughout this process: requesters use it to pay inference fees; workers and reputers use it to pay topic registration fees; and validators, reputers, and delegators can participate through staking or delegation and receive ALLO rewards under network rules. When a topic has no paid demand, its reward weight declines, so merely providing an inference does not necessarily result in rewards.

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