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AnchorShell Relay vs hyperopt.dev

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

AnchorShell Relay compared with hyperopt.dev
DetailAnchorShell Relay logo AnchorShell Relayhyperopt.dev logo hyperopt.dev
What it doesSmart AI routing gateway for LLM traffic management AutoML that just works. Keep training local.
StageNot given MVP
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Free trial
PricingSelf-hosted: Free. Free Hosted: $0/month (10,000 routed requests/month, 2 concurrent requests). Personal: $9/month ($9 billed monthly; 300,000 routed requests/month, 10 concurrent requests). Team: $49/month ($49 billed monthly; 3,000,000 routed requests/month, 100 concurrent requests; 10 people incl 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.
Key features
  • Request characterization and intent detection
  • Smart Groups and model assignment
  • Queue-first routing with fallbacks
  • Per-user and per-API-key limits
  • Pre and post-dispatch guardrails
  • Real-time request tracing and analytics
  • 100,000+ model compatibility
  • OpenAI-compatible API
  • Request queuing, pacing and cooldowns
  • Provider cost tracking per request
  • 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
What makes it different
  • Route requests based on intent to optimize cost and latency without sending all work to expensive models
  • Real-time visibility into every LLM request, decision, guardrail, and cost in one trace
  • Enforce per-user, per-agent and organization-wide limits with attribution and audit trails
  • Available as fully self-hosted open-source or managed cloud platform
  • Fast built-in routing at 1-5ms latency or optional System One classifier for richer decisions
  • 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
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)173
Citation Flow (Majestic)2213
Referring domains (Majestic)482

5 details filled in for both companies.

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