One API for AI agents to access models, data and tools with one key and one balance
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Paid
Pricing
Usage-based pay-as-you-go pricing with hourly compute charges; committed contracts available for volume discounts. Hosted option with Anyscale-managed infrastructure or Bring Your Own Cloud deployment available.
Not given
Key features
Multimodal data curation at scale
Distributed model training with elastic scaling
Batch embedding generation at scale
Multi-cloud deployment and orchestration
Cluster-backed development environments
Workload-specific observability and debugging
Production-grade managed Ray clusters
Access control and governance
GPU budget controls and cost attribution
Post-training with SkyRL and veRL support
70+ AI models from multiple providers at up to 78% discount
1,000+ social data APIs for TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Threads, Xiaohongshu and Douyin
Web tools including search, page reading, and site maps
Image, video and workflow generation
Single API key and USD balance for all capabilities
Price inspection before execution
Hosted image and video output with URLs
MCP and HTTP API support for agent integration
Structured JSON output from data queries
No charges for failed data and web calls
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine
Multi-cloud deployment without code changes
Feels local but runs distributed
Unified GPU pooling across clouds and regions
Built specifically for agents to use independently - they search the catalog, inspect contracts and prices, then execute
Unified billing across 70+ models and 1,000+ data APIs with no separate vendor accounts
Price transparency - every capability publishes cost before execution
Hosted file storage for generated images and videos
Supports multiple AI agents and any HTTP client with one setup line
BeatAPI