ORO AI
Open evaluation benchmark for agentic commerce where shopping agents run changing commerce tasks and produce performance and training data
Typeweb app
Category
Developer Tools+1
Developer Tools, Shopping
Pricingcontact
About ORO AI
How to Use ORO AI
1
Start in ORO AI with one bounded task that matches its main capability: open evaluation benchmark for agentic commerce where shopping agents run changing commerce tasks and produce performance and training data. Supply only the context, files, media or account connections needed for that task.
2
Review the first result against the original input and the outcome you expected. Correct missing context and retry before adding more data, automation or permissions.
3
Keep a human review step for anything that will be published, purchased, submitted, sent to customers, or used for a consequential decision. Configure privacy, sharing and permission settings before using confidential material.
4
Once the workflow is reliable, save reusable templates, brand settings, prompts or integrations where the product supports them. Re-check results after major product or model updates because AI behavior and plan limits can change over time.
Maker
ORO AI
Publisher
ORO AI develops or publishes continuously changing shopping-agent benchmark with sandboxed independent validators, trajectory-level scoring, public leaderboard, CLI submission, and retained evaluation traces. This sourced organization profile is tied to the verified product URL used for Batch 009 Tranche 04.
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