Teamorouter

Paid

Teamorouter routes model requests across providers to cut inference costs, suited to developers, AI agents and high-volume applications.

Overview Updated October 28, 2026
Teamorouter screenshot
Teamorouter — official website

TeamoRouter is a routing platform for LLM requests aimed at developers, AI agents, coding assistants and other AI-driven applications. It aggregates traffic to negotiate enterprise-level discounts from major providers and uses real-time routing and pricing optimisation to pick the most cost-effective infrastructure.

The platform works with providers such as Anthropic, OpenAI and Google, and is built to avoid the common downsides of simple API proxies, like poor cache behaviour from account rotation. TeamoRouter keeps a quality-control layer that preserves agent memory and claims a 99%+ prompt cache hit rate to retain model performance while lowering latency and costs.

It’s targeted at teams running Claude Code, Codex, autonomous agents or other large-scale AI workloads, where reducing API spend without losing compatibility is a priority.

  • Wholesale-style aggregation for provider discounts
  • Real-time routing and pricing optimisation across providers
  • Preserves prompt cache hit rate and agent memory
  • Compatible with Anthropic, OpenAI, Google and models like Claude Code and Codex

Tool Overview

Category
Productivity
Pricing
Paid
Official Website
teamorouter.com
Added
July 22, 2026
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