AI code review for coding agents using four frontier models in debate
Credit infrastructure for AI agents
Stage
MVP
Not given
Founded
2026
Not given
Based in
Not given
US
Pricing model
Freemium
Freemium
Pricing
Not given
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
Deliberate for open design decisions before code exists
Audit to stress-test drafted work before shipping
Local review gates that block risky writes and commits
Bring your own API keys or models
Works across eight certified agent surfaces
Setup in under a minute with npx command
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
Four frontier models debate instead of single-model review avoiding blind spots
All gate code and tools are open source and MIT-licensed
Never trains on user code or content
Pay-per-call pricing with no token markup or per-seat fees
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
Vaaya