Click is a managed agents API that works with any model. You send a task via API call and Click runs the agent, streaming back results while handling the entire agent stack for you.

Which models does Click support?

Click is designed to work with any model, so you are not locked into a single provider.

What does each agent session include?

Sessions are created with everything the agent needs, including a sandbox, a browser, and web search.

Do I need to manage infrastructure?

No. Click provides the entire agent stack over an API with no infrastructure to manage.

Click

Managed agents API that works with any model

Listing details

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Listed website: producthunt.com
Directory record created: Nov 2, 2026
Last record update: Nov 2, 2026

Listing information

Overview
6 key features
4 use cases

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What is Click

Click is a managed agents API that works with any model. Developers send a task with an API call, and Click runs the agent and streams back results, providing the full agent stack without infrastructure to manage. Each session comes with a sandbox, browser, and web search, and agents run on a harness featuring deferred tool discovery for thousands of tools and Code Mode for tool use via scripts.

Key Features

Managed agents API compatible with any model

Task-based API calls with streamed results

Sessions provisioned with a sandbox, browser, and web search

Deferred tool discovery supporting thousands of tools

Code Mode for using tools with scripts

No agent infrastructure to manage

Use Cases

Running autonomous AI agents without building or maintaining infrastructure
Delegating multi-step web and research tasks to hosted agents
Integrating agent capabilities into applications via API
Scaling tool-heavy agents that need access to large tool catalogs

Why do startups need this tool?

Click lets startups add agent capabilities through a simple API instead of building and operating their own agent infrastructure. With per-session sandboxes, browsing, and web search included, teams can ship agent-driven features faster and focus on their product rather than the underlying stack.

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