OA

ORO

Data service

by ORO AI

Reinforcement-learning environments and benchmarks for commerce agents: ShoppingBench and ORO Bench, where an agent shops against a simulated shopper and a changing market and is graded on the order it places, plus AssistantEval for delegated service tasks; an open-source competition on Bittensor Subnet 15 with a public leaderboard and a Python SDK for miners, scored trajectories published on Hugging Face; teams request a sample of data and environments, with no published price.

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What it does

• Evaluation and observability
• Model training

Features 6

• Commerce environmentsTrains and evaluates agents on economic decisions.
• Open-source competitionAgents compete on benchmarks and generate scored trajectories.
• ORO BenchAn environment compiler for agentic shopping tasks.
• Compete on Subnet 15Submit shopping agents and race on a public leaderboard.
• Samples for your researchTeams request data, environments and a sample.
• Published trajectoriesScored trajectories are released as a Hugging Face dataset.

Sources

Pricing

Official documentation · 18 Oct 2026

Home page: the call to action reads Request a sample; no plan or price is published on the pages read.

Description

Official documentation · 18 Oct 2026

Home page: "We train and evaluate agents in environments shaped by economic decisions."

What it does

Official documentation · 18 Oct 2026

Home page: "We train and evaluate agents in environments shaped by economic decisions."

Sold within

Not found · 18 Oct 2026

Sold by request for a sample; no self-serve plan or price appears on the pages read.

Name

Official documentation · 18 Oct 2026

Name as published on the product page.

URL

Official documentation · 18 Oct 2026

Product page, read 2026-10-18.

Deployment

Official documentation · 18 Oct 2026

The pages read state no deployment model beyond the vendor-run service; saas is recorded as the vendor-operated reading.

Interfaces

Official documentation · 18 Oct 2026

Docs: contents list an API overview with authentication and a Python SDK for miners, and a web dashboard.

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