AgentLine

Developers building AI agents that need to talk on the phone or send texts today have to work with general-purpose telecom APIs like Twilio, which require managing WebSocket streams, building their own transcription, and handling voice-provider configuration. This is complex and time-consuming for someone who just wants their agent to answer calls, place calls, or read SMS verification codes. The text explicitly contrasts AgentLine with Twilio, calling it a general-purpose telecom API versus AgentLine's agent-specific, hosted approach. Setting up telephony this way can take significant engineering effort rather than the minutes AgentLine claims its approach takes.

AgentLine provisions a real US or Canada phone number for an AI agent and lets it make and receive calls and SMS through one API, a Python SDK, MCP server, or a simple prompt pointed at a hosted skill.md file. A hosted voice agent handles the live conversation using the user's instructions and saves a transcript, so the user's own runtime doesn't need to generate every spoken reply; a relay or webhook can be connected for live lookups or handoffs. SMS, including one-time verification codes, is sent and read through a REST endpoint, and the same number handles both voice and text. The company also offers ready-made templates (sales, support, healthcare booking, legal intake, and others) with system prompts plus Python and Node code, and pricing starts at $20/month including one number, 100 call minutes, and 400 SMS, with usage-based rates beyond that.