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AppGoat vs Taurus

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

AppGoat compared with Taurus
DetailAppGoat logo AppGoatTaurus logo Taurus
What it doesApp store intelligence for your AI agent Lead armies of AI agents sanely
StageNot given Not given
FoundedNot given Not given
Based inDE Not given
Pricing modelFreemium Freemium
PricingFree: 250 credits/month, 25 tracked keywords, 3 watched apps, 1 connected app, US store data. Indie: $27/month or $267/year (2 months free), 10,000 credits/month, 2,500 tracked keywords, 25 watched apps, 3 connected apps, multi-country. Studio: $147/month or $1,467/year (2 months free), 75,000 credi Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
Key features
  • Live App Store and Google Play data across 5M+ apps in 175 countries with daily chart and keyword rank updates
  • MCP server integration with Claude, ChatGPT, Cursor and other AI clients
  • Keyword research with ranking difficulty and demand metrics
  • Competitor watchlist with notifications for rank changes and metadata updates
  • AI-enriched review analysis tagged by topic and sentiment
  • Safe write layer with dry runs, diffs and approval flows for all actions
  • REST API with one-header authentication for scripts and CI/CD
  • Free App Audit tool checking title space, keyword opportunities and review issues
  • Apple Ads bid automation with CPI targeting
  • Ready-made playbooks for ASO, reviews, competitor digests and localization
  • Hierarchical agent trees with parent-child delegation and coordination
  • Container-isolated agent environments with Linux shell and persistent filesystem
  • Persistent agent memory and context between runs
  • Cron-based scheduled execution with overlap handling
  • Shared /shared folder for cross-agent file collaboration
  • Support for 30+ AI models from multiple providers
  • Web IDE with terminal access and five editor themes
  • Static site dashboards built and maintained by agents
  • Voice input and file attachment support
What makes it different
  • Works inside your AI agent, not just as a dashboard
  • Your agent acts on data, not just reads it: dry runs with approval required before shipping
  • Pay-per-use pricing with no seat licenses, credits never expire on paid plans
  • Covers both App Store and Google Play with daily data refresh in 175 countries
  • Built for agents and scripts: same tools available as MCP server and REST API
  • Agentic tree structure where agents collaborate and share context unlike stateless tools
  • Fully isolated Linux containers for each agent with persistent filesystems
  • Persistent memory and context continuity across scheduled runs
  • Mix and match 30+ AI models freely within the same team
  • Pricing per fleet rather than per seat or per token overage
Community votes00
DR (Domain Rating by Ahrefs)33 +1 (up) since last check31 no change since last check
Trust Flow (Majestic)30
Citation Flow (Majestic)2130
Referring domains (Majestic)4115

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