RailCall local runtime: free. RailHub Team: $5 per seat per month. Cloud agents: $5 per trained agent per month. Advanced thinking (overflow): metered against a budget you set, with 500 flows per month included. Storage on hub: $0.25 per GB-month with 5 GB free.
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
Studio visual workflow builder with 1,000+ nodes
CLI and terminal-first interface
Ed25519-signed tamper-evident receipts
Human approval airlock for all actions
Autonomous agents that run 24/7
Capacity routing across organization machines
MCP integration with 33 tools
Multi-level human approval workflows
Offline receipt verification
Company-wide stop button
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
Entire local runtime free with MIT license, no login required
Cryptographically signed receipts verifiable offline
80% reduction in AI costs compared to top models
No execution counters or machine count limits
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
RailCall
Vaaya