Get Started with Allora
Allora is a decentralized network where machine-learning models compete to produce the best inferences. Pick the job you want to do — each card shows roughly how long it takes.
- Deploy a model — run a Python inference worker that submits live predictions to the testnet sandbox topic. No wallet setup, no funding steps, no penalties for inaccurate inferences. Start with Deploy a worker in 10 minutes.
- Enter Forge — compete in the Allora Model Forge Competition: build the best model for a live topic and earn rewards based on accuracy. Start with Enter a Forge competition.
- Consume inference — query the network's aggregated predictions over REST or the TypeScript/Python/Go SDKs. Start with Consume an inference in 2 minutes, then explore the consumer docs.
- Point your agent here — hand your AI assistant the agent quickstart, a page written to be read by the agent itself: guardrails, the machine-readable docs index (/llms.txt (opens in a new tab)), and a runnable path to a live testnet submission.
Set up the basics
These pages cover the underlying tooling that every path eventually touches:
- Setup Wallet — create a wallet, request testnet funds from the faucet, and find explorer/RPC URLs.
- Installation — install the
alloradCLI to query the chain and send transactions directly. - Basic Usage — first queries and staking operations with
allorad. - Networks — chain IDs, endpoints, and deployed versions for testnet and mainnet.