tryneverclosed-com
Neverclosed provides a 24/7 AI receptionist that answers website visitors, books appointments, and texts leads in real time for service businesses. The platform integrates with popular CRMs, Zapier, and webhooks, offering live lead capture, conversation history, and priority support. Pricing is transparent on the site with no hidden fees, and the service includes a private owner dashboard for managing leads, chats, and bookings. Its AI engine can handle multiple languages, route inquiries, and provide instant responses, reducing missed opportunities and improving customer satisfaction. Neverclosed aims to streamline client acquisition for businesses without needing a human receptionist.
tryneverclosed-com is profiled on the APIs.io network. Tagged areas include AI, Receptionist, Automation, Customer Service, and Scheduling.
tryneverclosed-com’s developer surface includes pricing, support, and 7 more developer resources.
Kin Score
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Resources
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
tryneverclosed-com API — frequently asked questions
How do I authenticate with the tryneverclosed-com API?
tryneverclosed-com documents its authentication (0 schemes). The details are profiled on APIs.io as Tryneverclosed Com Authentication.
Is the tryneverclosed-com API ready for AI agents?
tryneverclosed-com has a Kin Score of 13.1 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.