Platform to discover, hire, and customize AI agents for business automation tasks
The transaction layer for AI agents
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Paid
Contact for pricing
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
Per-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free.
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
Boundary approval system for controlled execution
Checkpoint-based resumable execution
Verifiable proof of completion
Composable proof for multi-agent workflows
Per-execution pricing model
Integration with multiple agent frameworks
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
Pay only for verified results, not for attempts or planning
Human-approved boundaries ensure agent actions stay within limits
Interruptible checkpoints allow pausing and resuming executions
Proof is built into results for auditability and composability