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TokenGO vs Agent 37

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

TokenGO compared with Agent 37
DetailTokenGO logo TokenGOAgent 37 logo Agent 37
What it doesSelf-operated inference API for open-weight LLMs and video models Cloud sandbox for AI agents with 94% lower cost than most providers
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelPaid Paid
PricingStandard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month): Standard sandbox: $0.80 per vCPU, $0.70 per GB RAM, $0.09 per GB disk per 730-hour month, metered by the minute. Example: 2 vCPU 4 GB with 4 GB disk costs $4.76/month if running continuously. Idle disk alone costs $0.36/month for 4 GB. VM sandbox costs 2.5x compute rate. New accounts get $5 starter
Key features
  • Zero-retention privacy policy
  • Smart routing optimization
  • Hardware adaptation per request
  • Inference engine kernel optimization
  • KV cache layer for token reuse
  • Unified API across model catalog
  • Cost and usage monitoring
  • Volume-based tiered discounting
  • Data Processing Agreement available
  • Per-minute billing for compute, disk storage metered monthly
  • Persistent file storage with automatic backups
  • Auto-sleep to pause compute charges when idle
  • Kernel-enforced isolation via gVisor
  • Docker container support
  • Outbound internet access only, firewalled per sandbox
  • Scheduled runs with cron
  • Support for multiple AI models and custom keys
  • Public HTTPS URLs and custom domain support
What makes it different
  • Single API key for access to leading models like DeepSeek, Kimi, and Qwen
  • Enterprise uptime and service guarantees without separate integrations
  • Zero-retention privacy with US governance and DPA support
  • Cost-efficiency through kernel optimization adopted by frontier labs
  • No integration rewrite required for teams already using OpenAI-compatible APIs
  • 94% lower cost than most sandbox providers
  • No subscription fees, plan fees, or minimum commitments
  • Compute billing stops when sandbox sleeps or stops
  • Data never collected for training, SOC 2 Type I compliant
  • Agents can run indefinitely without timeouts
Community votes00
DR (Domain Rating by Ahrefs)17 no change since last check50 −1 (down) since last check
Trust Flow (Majestic)410
Citation Flow (Majestic)2736
Referring domains (Majestic)77465

5 details filled in for both companies.

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