Put your AI agents to work.

StackOne offers three pricing tiers: Starter (Free) at $0 includes all standard pre-built connectors, 5,000+ actions, one custom connector designed with the AI connector builder, two projects, managed auth, multi-tenancy, the action playground, in dashboard support, AI action SDK and MCP protocol support, up to 1,000 free action calls/month. Beyond that, each action call costs $0.03. Core includes everything in Starter plus premium pre-built connectors, the capability to customize pre-built connectors or build your own, 10 projects, A2A protocol, multi-region data processing, dedicated Slack support, SOC2 Type II, and volume discount pricing. Enterprise offers custom pricing including StackOne professional services, SLAs, unlimited projects, and any AWS region data processing.

Yes. StackOne's Starter plan is completely free and includes all standard pre-built connectors, 5,000+ pre-built actions, managed auth and multi-tenancy, 1 custom connector, 2 projects, up to 1,000 free action calls per month, and in-app chat support. No credit card required. Start building immediately. Additional API calls beyond 1,000/month are $0.03 each.

The AI Connector Builder is a generative integration tool that automatically creates connectors to any SaaS application or internal system with an API. Provide an API specification or endpoint URL, and the builder analyzes the schema, retrieves knowledge about similar connectors from its training data, designs actions, configures authentication flows, and produces a fully functional connector in StackOne's integration engine, compatible with MCP and A2A protocols. You can further customize the output or deploy immediately.

A project is a workspace to organize your connectors, actions, and team with role-based access.

In the context of StackOne and AI agents, action calls are AI agent or API requests to the StackOne platform to execute a specific operation or task in a connected app. For example, an agent decides to create a Jira ticket and makes an action call to StackOne. StackOne's Falcon Engine executes that action on Jira (potentially making multiple API calls under the hood) and returns the result to the agent.

Premium connectors are high-value pre-built integrations that are only available on paid plans (not the free tier).

StackOne is built for enterprise compliance and security from day one. We're SOC2 Type II, HIPAA, and GDPR certified with real-time operations (no data storage by default), multi-tenancy, RBAC, audit logs, and regional data processing controls. Our managed infrastructure handles authentication, webhooks, and data synchronization so you can focus on building. SSO (OKTA/SAML) and uptime SLAs are available on our Enterprise tier.

StackOne operates in real-time without storing your data by default. We're SOC2 Type II, HIPAA, and GDPR certified with multi-tenancy, multi-tier permission setting, encrypted credential storage, audit logs, and regional data processing. We enforce safe AI agent actions and operations.

StackOne provides AI-optimized actions instead of raw APIs or low-quality MCPs, reducing content load and improving reasoning accuracy. Smart tool search and intelligent caching both minimize context window overhead and reduce latency. Automatic retries handle transient failures, and managed authentication streamlines connections. The result: higher action success rates, faster execution, and more reliable agent behavior in production.

StackOne supports the Linux Foundation's Agent-to-Agent (A2A) protocol, an open standard that helps agents communicate and share tools and context. When an agent needs to update a record or fetch data on an app, it can communicate with StackOne's platform through A2A. This ensures reliable, structured communication.

StackOne's integration engine, named Falcon, acts as the execution layer between AI agents and applications. When an agent decides to take an action, it sends a request to Falcon via A2A, MCP, or an API. Falcon handles the connected app authentication, validates inputs, executes the action reliably, and returns clean outputs to the agent. The separation of agent reasoning from Falcon execution is what ensures reliable, high success rate actions in production.