fastn.ai's answer

Fastn treats the entire integration lifecycle as something AI agents handle, not engineers. Rather than building and maintaining a connector for every tool an AI agent needs, fastn exposes connectors like Slack, Notion, Gmail, and custom APIs through a single MCP-based gateway, with authentication and workflow orchestration built in. Its agents don't just build integrations, they test and keep them running as upstream APIs change. Pricing is based on connected customer accounts rather than connector count, so cost tracks the customers served, not the integrations maintained.

fastn.ai's answer

Most integration tools leave you with a backlog: every new connector is an engineering ticket, and breakages become maintenance work. Fastn shifts that to AI agents that build, test, and proactively maintain connections, adapting before APIs break rather than after. The single-endpoint MCP gateway means an agent gains access to a whole toolset without per-connector plumbing, and the embeddable model lets software companies offer self-serve integrations inside their own products. For teams building AI agents and automations, that means less time on glue code and faster validation of new use cases.

fastn.ai's answer

Fastn is built for developers and product teams building AI agents, automations, and agentic applications, particularly software companies that want to offer customer-facing integrations inside their own products without growing an integrations engineering team. It serves both individual builders prototyping agentic systems and larger organizations that need enterprise-grade security, monitoring, and scale.