Welcome credit: $2 (personal) or $10 (Instinct). Prepaid packs: $14, $40, or $60 USD. Pay-per-call pricing varies by service: from <0.1¢ for LLM answers, ~1¢ for web search and scraping, 10-30¢ for deep research, from 5¢ for lead enrichment, 25¢ for company signals, from 33¢ for image and media gene
Key features
Context Graph of Work - continuously updated model of how work gets done across enterprises
Blueprint for AI roadmap planning with defensible ROI recommendations
Process Intelligence to identify bottlenecks and prioritize automation
Engineering Intelligence for unified view of developer work
Work-aware agents grounded in real operational context
Zero-integration capture across legacy and modern systems
In-environment processing with data staying in customer perimeter
Agentic Operating Procedures for governed agent execution
Audit logs and compliance tracking for every agent decision
Built on 25B+ events from 500+ observed processes
Buy and hold tokenized stocks at 100% loan-to-value
Access hundreds of services via single balance
Per-call price disclosure before execution
MCP, TypeScript SDK, and Python SDK integration
Per-agent spending limits and controls
GitHub-based credit line with scoring
Access to LLMs, search, scraping, compute, storage, and media services
Holdings remain invested while credit is used
Weekly or on-demand billing via card on file
What makes it different
Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
Delivers AI agents that work in production at scale, not just pilots
Provides measurable ROI and audit trails for AI spending and decisions
Privacy-first architecture keeps sensitive data within customer environments
First credit line backed by tokenized stock holdings at 1:1 LTV
One unified balance for all agent services and payments
No subscription or monthly minimum; pure pay-per-call model
Price transparency with exact cost shown before each call
Holdings never automatically sold; credit is separate repayment obligation