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"I Found the Underground Map of Free LLM APIs — Then Wired Them All Into One Proxy"

There are two kinds of developers in 2026. The first kind is paying for every AI request like it's normal. The second kind is quietly collecting free quotas, trial credits, OpenAI-compatible endpoints, Gemini access, Groq speed, random…

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There are two kinds of developers in 2026.



The first kind is paying for every AI request like it's normal.



The second kind is quietly collecting free quotas, trial credits, OpenAI-compatible endpoints, Gemini access, Groq speed, random hidden gems, and stitching them together into one ridiculous local setup.



This post is for the second kind.






The Real Problem Isn't "Which Model Is Best?"



The real problem is this:




  • One provider gives you speed

  • Another gives you free credits

  • Another gives you decent coding models

  • Another looks promising but isn't integrated yet

  • And your tools? They all want different configs, different keys, and different endpoints



So your stack turns into a graveyard of:




  • half-used trial credits

  • forgotten API keys

  • rate-limited accounts

  • browser bookmarks you'll never open again






So I Built the Map



ProxyPool Hub now includes a Resources Catalog: a dedicated page that tracks free and trial LLM API platforms in one place.



Not just a dumb markdown list.



A real, filterable directory.



You can now browse a curated catalog of providers like:




  • OpenRouter

  • Google AI Studio

  • Groq

  • Cerebras

  • SambaNova Cloud

  • Hyperbolic

  • Scaleway Generative APIs

  • and more



Each entry includes:




  • whether it's free or trial

  • whether ProxyPool Hub already supports it

  • representative models

  • signup requirements

  • quota notes

  • compatibility details

  • whether it can be preset directly into the proxy



In other words:



it doesn't just tell you what's out there — it tells you what you can actually use right now.






This Is Where It Gets Dangerous (In a Good Way)



Because ProxyPool Hub isn't just a resource browser.



It's also the thing that lets you use those resources without losing your mind.






1. Free Model Routing



The new free model flow lets lightweight requests route to free providers automatically.



So instead of burning paid credits for every tiny task, you can push fast or low-cost workloads toward free-tier resources.



That means:




  • quick coding questions → free routes

  • lightweight model tasks → free routes

  • expensive reasoning jobs → your better accounts or keys



It's not just cheaper.



It changes your whole cost model.






2. Load Balancing Across API Keys



Most people use API keys like this:




  1. Add one key

  2. Use it until it breaks

  3. Panic

  4. Switch manually



ProxyPool Hub does the opposite.



It watches all your available keys and picks the one with the fewest requests first.



That's simple load balancing, but the practical effect is huge:




  • your keys last longer

  • rate limits hit later

  • traffic spreads out automatically

  • failures become much less noticeable



It feels less like "using an API key"



and more like running your own tiny inference mesh on localhost.






3. Pooling Accounts and Providers Like a Greedy Goblin



This is the part I like the most.



You don't have to marry one provider.



You can build a setup like this:




  • OpenRouter for rotating free models

  • Google AI Studio for Gemini access

  • Groq when you want stupid-fast responses

  • Cerebras when you want extra OpenAI-compatible capacity

  • SambaNova / Hyperbolic / Scaleway for trial credits

  • your own Claude / OpenAI / Azure accounts for the heavy jobs



Then point your tools at one local address.



That's the whole trick.



Your tools don't need to know your secret economy.



They just talk to the proxy.






4. The Catalog Is Actually Strategic



The smart part of the Resources Catalog isn't that it lists providers.



It's that it classifies them by practical usability:





  • supported → already works cleanly with ProxyPool Hub


  • presettable → can be slotted in with current patterns


  • candidate → promising, but needs extra adapter work


  • catalog only → good to know, not worth pretending it's plug-and-play yet



That's rare.



Most AI lists are fluff.



This one is operational.



It answers:




"Can I actually use this in my setup today?"







Why This Matters



Because the AI tooling world is getting weirder, not simpler.



Every month, new free endpoints appear.

Every week, quotas change.

Every day, someone discovers another provider with surprise credits and weird limits.



If you don't organize that chaos, you waste it.



ProxyPool Hub now gives you both sides of the game:





  • Discovery — find free/trial opportunities fast


  • Execution — route, pool, balance, and survive rate limits






The Vibe



This is no longer just "a proxy for Claude Code and Codex."



It's becoming something more interesting:



a local control plane for AI tool traffic.



One place to:




  • discover providers

  • compare quotas

  • pick usable free options

  • spread load across keys

  • route by app

  • preserve paid credits

  • keep your CLI tools working even when one provider taps out






Try It






npx proxypool-hub@latest start






Then open:





  • http://localhost:8081 → dashboard


  • http://localhost:8081/resources/ → free & trial resources catalog







If you're the kind of developer who keeps a secret stash of trial credits and free endpoints, this might be your new favorite project.



And if you're not?



Give it a week.






ProxyPool Hub is open-source under AGPL-3.0. Not affiliated with Anthropic, OpenAI, Google, or any listed provider.

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
title: Detect Exploitation - "I Found the Underground Map of Free LLM APIs — Then Wired Them All Into One Proxy"
id: d41becbd-1ac2-4151-8b48-8d1a20b927d4
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "\"I Found the Underground Map o" ascii wide
    condition:
        any of them
}
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich "I Found the Underground Map of Free LLM.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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