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Alternatives

Products that do what IQ Routing does

Trajectory-aware LLM routing that cuts agent cost

  1. 1

    Tokens are money. Save both.

    16d ago · router.com

  2. 2

    Money movement for AI agents

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  3. 3

    Optimize Performance, Cost, Speed & Carbon for each prompt

    Nov 2025

  4. 4
    Web Speed118

    Kill the 'Token Tax.' 90% cheaper agents.

    May 2026

  5. 5
    Glide110

    An open high-performance model gateway for your GenAI apps

    2024

  6. 6

    Serve Any AI Model, Faster & Cheaper

    Mar 2026

  7. 7

    Save 50-80% on AI API costs — automatically.

    Aug 2026

  8. 8
    Agihalo68

    LLM Router for A.I Agent & Saas with x402

    Jan 2026

  9. 9SA

    Hi HN, We’re building https://www.switchpoint.dev – a drop-in replacement for OpenAI’s API that reduces LLM cost by smartly routing across models (e.g., Claude, Gemini, GPT-4) depending on subject and difficulty of the task. Why we built this: LLM costs are spiraling—especially for products doing retrieval, agentic reasoning, or even just high-volume chat. We were frustrated with paying GPT-4 rates when most queries didn’t need it. So we built a router that: - Starts with cheaper/free models (like Llama 8B, 4o-mini, 2.0 flash) - Streams responses and upgrades on failure - Acts…

    2025 · switchpoint.dev

  10. 10
    RouKey98

    Route each task to the smartest AI for the job

    2025

  11. 11

    Your site scores X/100 for AI agents with next steps

    May 2026

  12. 12
    Routerra134

    Your AI copilot for delivery route optimization

    2025

  13. 13RO

    2014 · routific.com

  14. 14RF

    I've been building https://routing24.com for a while, a free route optimization and planning app for businesses. One of the things that bothered me for quite a time is inability of browser agents to work with Routing24. We have tons of natural tasks for AI: - data ingestion, to figure out data coming from user's side (csv and Excel); - geocoding quality validation (to explain user what they need to correct and their addresses and how); - steep learning curve for business users (who have sense of what they want from route optimization, but setting up the model takes significant time…

    Jul 2026 · github.com

  15. 15

    Free MCP for security AI: live BGP, DNS, threat graph

    May 2026

  16. 16
    Routey47

    Smart route optimization for complex deliveries

    2025

  17. 17

    A local control plane for AI coding agents

    May 2026

  18. 18PR

    2016 · pathfinder.readme.io

  19. 19

    The self-learning AI router

    6d ago · github.com

  20. 20

    Build Multi-Model AI Without the Complexity.

    Sep 2025

  21. 21PE

    Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

    Jan 2026 · github.com

  22. 22UM

    Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…

    Oct 2025 · mcp360.ai

  23. 23LF
  24. 24

    TL;DR: Web search open router that routes agent web search across providers (Exa, Parallel, Tavily, Brave, SerpAPI etc.), and traces web search results with quality metrics, so you can visualize whether a bad agent run is a web search problem or a reasoning problem. I work in venture capital, and before that I worked in information retrieval. When agents went viral, I built a due diligence agent for my day job. I vibe-coded the first version. It was pretty bad. My first reaction is to blame the model. I tried to change backend models, maybe because Fable doesn't want to help me do people…

    9d ago · telem.ai

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