LLMtrack vs AgentStats

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

LLMtrack compared with AgentStats
Detail	LLMtrack	AgentStats
What it does	Real-time AI cost tracking for every LLM call, broken down by feature, model and customer	See which AI agents use your product, where they fail, and what to fix
Stage	Not given	Startup
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Free trial
Pricing	Free: 3,000 events/month, full analytics dashboard, unlimited integrations, model savings recommendations, feature and per-customer cost breakdown, cost calculator, spend forecast, CSV export, 30-day data retention. Pro: $11.99/month, everything in Free plus 25,000 events/month, email alerts, busine	Free 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).
Key features	Real-time cost tracking with <1ms added latency Breakdown of costs by feature, model and customer Daily price synchronization from 428 models across 12 providers No proxy in request path, fire-and-forget async integration Prompts and completions never stored	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
What makes it different	One-line integration with no proxy or request path modification Costs tracked the instant each request completes, not at month-end Unit economics and per-customer profitability visibility no other observability tool provides	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
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	0
Referring domains (Majestic)	1	0

5 details filled in for both companies.

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