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AgentStats vs Tare

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

AgentStats compared with Tare
DetailAgentStats logo AgentStatsTare logo Tare
What it doesSee which AI agents use your product, where they fail, and what to fix See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
StageStartup Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Freemium
PricingFree trial for 14 days. Starter: $15/month (2 projects, 50k events/month, 30-day retention). Growth: $49/month (5 projects, 500k events/month, 90-day retention, up to 5 team members). Scale: $149/month (25 projects, 5M events/month, 1-year retention, unlimited team members). Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
Key features
  • Monitor AI crawlers, website agents, MCP clients, APIs and CLIs
  • Real-time dashboard showing tool calls, errors, latency and client details
  • AI visibility: track what ChatGPT, Claude and Gemini say about your product
  • MCP server integration for agents to query your analytics data
  • SDKs for TypeScript, Python, Go, Rust, C#, Java, Swift and browsers
  • Identifies silent agent failures hidden from logs and APM
  • Never blocks request paths with background worker batching
  • Weekly or daily AI reviews depending on plan
  • Funnels, conversions and email alerts
  • Session log analysis with token pricing breakdown
  • Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
  • Safe automatic fixes for output trimming and cache countdown
  • Undo capability for all changes
  • Receipt comparing cost-per-commit before and after with 90% confidence range
  • Shareable card with visualization of token usage
  • Command output trimming to reduce context bloat
  • Cache expiration countdown in status line
  • MCP server integration for any agent
  • Claude Code plugin with skill and MCP server
What makes it different
  • Only platform showing silent agent failures that return 200 OK status codes
  • Covers six distinct data sources in one dashboard instead of scattered logs
  • Agents can access dashboard via MCP server to self-fix their failures
  • Installation takes five minutes with background worker approach never blocking request paths
  • AI visibility shows what AI models actually say about your product with claim verification
  • Reads actual logs your agent already keeps, not a third-party service
  • Fixes only trim new content without rewriting cache to preserve prompt optimization
  • Open source under Apache 2.0 with no incentive to make you spend more tokens
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)00

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