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Viewlify vs boxd

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

Viewlify compared with boxd
DetailViewlify logo Viewlifyboxd logo boxd
What it doesTikTok videos that outperform, for your agent or your app Composable computers for devs and agents
StageNot given Not given
FoundedNot given Not given
Based inNot given NL
Pricing modelNot given Not given
PricingPay as you go: $0.005 per call ($5 for 1,000 calls), $1.00 free credit when you sign up. Top up with $5, $10, $25, $50 (+10% credit) or $100 (+10% credit). Pro plan: $69/month with 1,000 searches per day included. Agency plan: $299/month with 5,000 searches per day included. All paid plans include a Credit-based pricing: €0.039 per vCPU-hour (active only), €0.012 per GiB-hour for RAM (memory in use), €0.00008 per GiB-hour for disk (written space only). New accounts receive €30 in free credits. A typical 2 vCPU / 8 GiB machine costs approximately €0.03 per hour while running (with 10% vCPU activ
Key features
  • Search TikTok videos by keyword, creator, or hashtag
  • Measure videos against creator's usual performance (vsUsual metric)
  • View history showing performance over time
  • Shares per 1,000 views metric
  • Sort by trending, outlier, views, recent, engagement or shares
  • Track your own accounts with followers and video analytics
  • Daily video ideas and AI video checks
  • MCP integration with Claude and Cursor
  • REST API and command-line interface
  • Rate limit of 60 calls per minute, up to 50 videos per call
  • Hardware-isolated Linux VMs with persistent state between sessions
  • Snapshots and checkpoints for machine state management
  • Automatic hibernation after 4 hours idle, paying for disk only
  • Pre-installed tools: Claude Code, Docker, Node, Python, Go, git, Chrome, ffmpeg, nginx
  • Public HTTPS URL per machine with custom domain support
  • Egress allowlist for network security and isolation
  • CLI, API, Python and TypeScript SDKs for automation
  • Integration with GitHub, Linear and Slack across all machines
What makes it different
  • Data refreshed daily with view history tracking, not a live scraper
  • Measures performance relative to creator's baseline, not absolute views
  • Three public MCP tools work without an API key as preview
  • Includes trending hashtags and sounds in search results
  • Hardware-isolated real VMs instead of containers, with full kernel isolation
  • Persistent machines remember running processes and state between disconnects
  • Pay only for active resources used, not provisioned size
  • Free self-hosting up to 16 vCPUs on your own infrastructure
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)2 no change since last check44 no change since last check
Trust Flow (Majestic)58
Citation Flow (Majestic)1337
Referring domains (Majestic)5151

4 details filled in for both companies.

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