Pricing is per seat for team members who set up and run projects. Each plan includes a baseline of AI credits shared across all agents on the account. Additional credits can be purchased when the baseline is insufficient for your calling schedule.
Key features
Run agents with Python tools
Deploy agents as MCP servers
Validate structured inputs and outputs
Inspect run results and artifacts
Secrets management
24-hour result retention
CSV upload for recipient lists
Readiness score from 0 to 100
Local time zone call scheduling
Automatic AI disclosure on every call
Human transfer on request
Multiple agent types on single account
Call outcome tracking
Meeting check-in recording and reporting
What makes it different
No subscription or idle charges for usage-based pricing
Zero markup on model tokens
Hosting included with deployment
Available through MCP clients like Claude and Codex
Full visibility into agent execution and results
No agent customization required—select a pre-built type and add your list
Mandatory AI disclosure and ethical safeguards on every call
Shared AI credits and seats across multiple call types
Readiness check prevents calls until project is properly configured
Respects local time zones and call windows automatically