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Vivgrid vs briq

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

Vivgrid compared with briq
DetailVivgrid logo Vivgridbriq logo briq
What it doesThe Managed Skills Platform for AI Agents Cloud sandboxes and services for builders and agents
StageNot given Not given
FoundedNot given Not given
Based inUS FR
Pricing modelFreemium Freemium
PricingFree plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments. Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s
Key features
  • Managed Skills with instant deployment to all agents
  • Agent observability and debugging across all decisions
  • Globally distributed inference with low latency
  • Safety guardrails and agent evaluation
  • Multi-agent orchestration with stateful memory
  • Centralized security and access control
  • Support for multiple frontier LLM models
  • Real-time cost and performance insights
  • Agent Insights dashboard
  • Linux sandbox with shell, persistent files and development tools
  • Multiple services: Postgres, Redis, DuckDB, custom OCI images
  • MCP integration with Claude, Cursor, VS Code
  • Environment forking with data preservation
  • Idle workload sleep mode with compute billing pause
  • Private networks with public endpoint selection
  • Spend caps, size limits and concurrency controls per credential
  • Audit log for reviewing all actions
What makes it different
  • Ship agent improvements in minutes instead of release cycles
  • Centralized skill management without requiring redeploy
  • Complete visibility into agent decisions for fast debugging
  • Proven safe releases with guardrails before production
  • No infrastructure expertise required to deploy agents at scale
  • Built specifically for AI agents with native MCP protocol support
  • Open-source runtime in public development with Rust and Firecracker
  • Integrated services ecosystem with private networking
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)39 −1 (down) since last check18 −1 (down) since last check
Trust Flow (Majestic)250
Citation Flow (Majestic)3820
Referring domains (Majestic)262224

6 details filled in for both companies.

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