hyperopt.dev vs AgentStats

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

hyperopt.dev compared with AgentStats
Detail	hyperopt.dev	AgentStats
What it does	AutoML that just works. Keep training local.	See which AI agents use your product, where they fail, and what to fix
Stage	MVP	Startup
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Free trial	Free trial
Pricing	Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.	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	Python SDK for tuning suggestions Local model training with remote suggestions Supports classification and regression Included CPU demo workloads Efficient observation budget allocation Model ranking and selection Reference scheduler implementations HTTPS secure communication	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	Trains locally, not on the service—your models and data stay on your computer Efficient tuning using only half the observation budget of full training Outperforms reference schedulers in benchmarks on diverse datasets Free beta with no billing or account costs	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)	3	0
Citation Flow (Majestic)	13	0
Referring domains (Majestic)	2	0

6 details filled in for both companies.

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