Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features
Adapter registry with 191+ production-ready fine-tunes for discovery
In-browser A/B testing playground to compare adapters against base models
One-click deployment to serverless API endpoints with OpenAI-compatible format
Multi-adapter serving on single base model with zero cold starts
Automated fine-tuning with Unsloth-optimized kernels
Creator monetization with per-token revenue sharing
IP protection with managed endpoints and no public weight downloads
Framework integration as OpenAI-compatible proxy
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
What makes it different
2x-5x faster fine-tuning using Unsloth-optimized kernels compared to traditional methods
Creators earn 70% revenue share on every token served through their adapters
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests
AptAI
Contextwaise