Fay

Fay is a research-focused product with webhook support for developers who want to connect research jobs to their own applications. Based on the documentation, it exposes events for task status changes, completed output, and errors, so you can react to research lifecycle updates in real time.

Setup appears to happen through the Fay dashboard, where you register an HTTPS webhook URL and choose which events to receive. The docs show Node.js and Python examples for signature verification, which suggests it is meant to be integrated into custom backend systems rather than used as a standalone chat interface.

Fay’s webhook layer is straightforward and practical: it reduces the need to poll the API and gives you structured notifications with request and conversation IDs. That makes it a good fit for workflows that need to queue follow-up actions, store results, or handle failures automatically.

What is less clear from this page is the broader product scope, pricing, and which AI models Fay uses. The docs do show HMAC-SHA256 webhook signing and a secret that must be saved once, which is good for security. If you do not have a server endpoint to receive HTTPS webhooks, or you only need a simple manual research tool, this integration may be more than you need.