Agent optimization layer that automatically optimizes agent workloads to extend context windows and reduce costs
Stage
Not given
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Founded
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Based in
SG
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Pricing model
Freemium
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Pricing
Free tier with 100 free API calls daily and free sandboxes. Metered pay-per-call pricing with no subscription: from $0.0011 per API call (LinkedIn Company), language models from $0.225 input/$0.90 output per 1M tokens (DeepSeek flash), image generation from $0.0196 per image (Kling), video from $0.3
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Key features
Access to 2,000+ language, image, video and audio models
Real-world data APIs including search, social media, web scraping
Single API key and shared balance for all capabilities
Build, schedule and monitor agent workflows
Integration with 25+ AI tools including Claude, Cursor, ChatGPT
CLI, HTTP, and MCP access methods
Free sandboxes for agent execution
Discovery and inspection of tools are free
Full execution tracing and cost tracking in Activities
Live discounts up to 50% on selected AI models
Automatically removes redundant and stale context from agent workflows in real time
Reduces token usage by 37–67% across agent workloads
Maintains baseline pass rates and success rates without code changes
Extends context windows for longer-running workflows
Zero code changes required for integration
Continually monitors and learns agent workloads
What makes it different
One balance covers models, APIs, and runtimes from 100+ platforms
Pay only for what you use with no subscription required
Integrated across 25 AI tools and IDEs with one sign-in
Check prices and availability before any execution
Failed calls are not charged
Reduces agent inference costs by 37–67% while maintaining the same success rates
Works transparently with zero code changes required
Focuses optimization on removing wasted tokens while keeping success rates high
Enables teams to take on more ambitious problems with the same resources
SandBase
Induction