AI that reads each person first, knows their normal, and remembers every pair
Stage
Startup
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Free
Paid
Pricing
Free: 200 daily credits every day. Credits refresh at midnight in account's time zone and do not roll over. A typical task uses about 15 credits, covering about 13 typical tasks per day.
43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
Key features
Natural language task description
Background task execution for hours or up to 14 days
Personal Muze.bot email address
Email approval workflow
File handling and management
Web research and browsing
Task progress visibility
Source tracking and transparency
Daily credit system
Task continuation after email replies
Reads individual email history and communication patterns
Analyzes what has built up between two people over time
Tracks changes against each person's normal baseline
Provides color-coded feedback: green, yellow, red across five dimensions
Predicts likely outcomes with recommended actions
Includes contextual external factors when provided
Sealed record system for privacy and historical continuity
MCP server with Apache 2.0 open source client code
llms.txt file for agent discovery and integration
OpenAPI file for tool integration
What makes it different
Operates in the background autonomously while you step away
Conversational interface without forms or strict prompts
Personal email address that keeps your inbox separate
User approval required for external emails
Reads each person individually first, through their own patterns, rather than generic scoring
Remembers relationship history and shows what changed between readings
Never returns scores, trait ratings or personality labels on named people
Simple one-request API integration with no library installation needed
Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects