OXAlpha
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OXAlpha · Use case

OXAlpha AI for agents and automation

Ox Alpha is built for sustained agentic work — tool calling plus a 1M context means an agent can keep its whole trajectory in mind instead of forgetting.

Key takeaways
  • Why it fits agents
  • Long-horizon memory
  • Build one

Why it fits agents

Well-formed tool calls, a massive context for long runs, and reasoning that plans multi-step tasks.

Long-horizon memory

The full trajectory stays in-context, so the agent doesn't summarize-and-forget between steps.

Build one

See the API guide for tool-calling, or start from the Coding/Research agents.

  • API guide: /api-guide
  • Agents: /agents

Ox Alpha at a glance

Context window1,048,576 tokens (1M)
Max output131,072 tokens
InputText · Image · Video
ReasoningMandatory · low / high / max
Tool callingSupported
Price$0 during stealth preview
Model idstealth/ox-alpha
AccessOpenRouter API

How to try it in 3 steps

1
Open the chat
No signup — the anonymous chat needs no account.
2
Ask your question
Type your task; answers stream with visible reasoning.
3
Go deeper via API
Ready to build? The API guide has copy-paste code.

Frequently asked questions

Does it support tool calling?

Yes — function/tool calling returns well-formed calls in testing.

Good for long tasks?

The 1M context is designed exactly for long-horizon agent runs.

Related

OXAlpha AI for coding →OXAlpha AI for customer support →OXAlpha AI for content writing →OXAlpha AI for data analysis →OXAlpha AI for research →OXAlpha AI for summarizing documents →

Use OX Alpha free

Streaming chat with visible reasoning — no signup, $0 in preview.

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