Click GTM brain
Click sells developers a managed API for running tool-using AI agents with their preferred models.
category
Managed AI agent infrastructuremarket profile
- text: Building an agent product entails managing execution, browser access, sandboxes, tools and results in addition to model calls.
- text: The recently launched service targets developers integrating multi-step agent workflows rather than a standalone end-user chatbot.
personas
- title: AI application engineerpains:
- Provisioning browser, code sandbox and search before an agent can perform useful work
- Streaming activity and completed artifacts back into an app
- title: Engineering lead at an AI software companypains:
- Maintaining changing agent runtime infrastructure alongside a core product
- Scoping credentials and tool access per session
icp
- text: Software companies embedding agents in coding, research or customer support applications; company size is not specified.
- text: Developer-led teams with model-provider keys and a need for hosted execution, tool access and asynchronous callbacks.
message pillars
- text: Use an agent runtime with model flexibility.
- text: Start with browser, search and code capabilities.
- text: Receive streaming events or asynchronous completion.
objections
- objection: Can we use our chosen model?response: The product supports bring-your-own model keys; test the intended provider and workflow.
- objection: How do we limit agent access?response: Scope tools, permissions and credentials per session and test isolation against your requirements.
- objection: What will production cost?response: Estimate session concurrency and managed browser, sandbox and search usage, plus separate model costs.
competitors
- name: Manuswhy: Cloud agent product with programmatic agent access for multistep tasks.
- name: Superservewhy: Provides cloud computers for AI agents, overlapping the managed execution layer.
influencers
- name: Aditya Asgaonkarurl: https://xitter.cf/adiasgwhy: Founder who publicly explained Click's managed agent launch and infrastructure thesis.
keywords
- managed agent API
- AI agent sandbox
- serverless AI agents
- agent browser API
- MCP agent runtime
- hosted agent infrastructure
voice
- Technical and developer-first
- Concise and task-oriented
- Infrastructure-focused
signals
- text: A product team building agents that browse, run code or use MCP tools is likely to need runtime infrastructure.
- text: A team implementing long-running jobs with webhooks or streaming is a good candidate for a bounded trial.
stack
- MCP
- HTTP APIs
- webhooks
pricing
model: freemium
starting price: Free tier; Pro $199/month, model keys supplied by customer
motion
hybridchannels
- Developer documentation
- X
- Product Hunt
confidence
mediumFounders
- name: Aditya Asgaonkartitle: Founder/CEOrole: CEObio: Founder at Click. Previously helped build Ethereum's distributed system.