About
Make AI agents accountable
CueAPI is scheduling infrastructure for AI agents. We solve a simple but critical problem: when you ask an AI agent to do something on a schedule, how do you know it actually did it?
Traditional schedulers fire and forget. CueAPI fires, confirms delivery, tracks the outcome, and alerts you when things break. Every execution is accounted for — from trigger to result.
Built by Vector Apps Inc
Govind Kavaturi
Founder
Previously founded Thena, which reached $1M ARR and was backed by Lightspeed Venture Partners, First Round Capital, and Pear VC. Before that, engineering at Cloudflare and Etsy.
@govikavaturiOur mission
AI agents are moving from demos to production. They are managing real workflows — sending emails, processing invoices, monitoring systems, generating reports. As agents take on more responsibility, the infrastructure they run on needs to match.
We believe that scheduling infrastructure for agents should include accountability by default. Not as an afterthought, not as a paid add-on, but as a fundamental part of how agents run in production.
Open source
CueAPI Core is open source. The scheduling engine, webhook delivery, worker pull mode, and outcome tracking are all available at github.com/govindkavaturi-art/cueapi-core. Self-host on your own infrastructure, or use the managed service for reliability, scaling, the dashboard, and support.