Platform to discover, hire, and customize AI agents for business automation tasks
Efficiency is Intelligence
Stage
Not given
Startup
Founded
Not given
Not given
Based in
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US
Pricing model
Paid
Paid
Pricing
AI agents are available on a credit-based system. Pricing varies by agent: YouTube Commenter (20 credits per month), Email Template Maker (10 credits per execution), Chat Analyzer (5 credits per execution), Appointment Taker (30 credits per month), Instagram Manager (50 credits per month), Reddit Le
Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
Key features
YouTube comment automation - Automatically generates and posts engaging comments on YouTube videos
Email template creation with HTML and real-time previews
Customer chat analysis with sentiment extraction
24/7 appointment scheduling via natural language conversation
Social media automation for stories, posts, and reels
Real-time review monitoring and sentiment tracking
Video-to-reel conversion for viral social content
Content repurposing across multiple platforms
Website content auditing with broken link detection
Automated job application across multiple job boards
384K token context window
Multimodal input support
100K tokens processed in less than a second
Structured output for direct code use
Subquadratic Sparse Attention algorithm for efficient compute
$0.04 per 1M tokens pricing
Customer content not used for model training
Data retention limited to 60 days
What makes it different
Over 50 AI agents available for diverse business tasks
24/7 availability with no downtime or human limitations
Credit-based pricing model with flexible per-execution or monthly costs
Data privacy and security prioritization for sensitive information protection
Proven track record with 5,000+ completed tasks for 1,000+ businesses
First long-context decision model purpose-built for enterprise work
Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
Tied for #1 on Artificial Analysis Decision Index
Processes entire codebase or data room in single context window