hyperopt.dev vs Backloop

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 Backloop
Detail	hyperopt.dev	Backloop
What it does	AutoML that just works. Keep training local.	Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Free trial	Freemium
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.	Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
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	Session replay for MCP servers to identify failed agent sessions Clustering reports by agent goals and workflows Priority ranking weighted by frequency, failed workflows, and affected accounts Claude Code generates pull requests with tests Review queue with diff, tests, agent reports, and evidence Isolated git worktree prevents unauthorized code push Schema validation and rate limiting for feedback Open Agent Feedback Protocol with TypeScript and Python SDKs GitHub integration for draft PR creation
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 AI agent failures on successful HTTP responses get detected and ranked Automated pull request drafts with your approval required before shipping Session replay captures failures even when agents don't report them Pay only for coding-agent runs, not feedback submission Open protocol and SDKs can be self-hosted at no cost
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	1 no change since last check
Trust Flow (Majestic)	3	1
Citation Flow (Majestic)	13	14
Referring domains (Majestic)	2	4

5 details filled in for both companies.

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