REPOGEO REPORT · LITE
Quorinex/Freebuff2API
Default branch main · commit a1c10357 · scanned 6/23/2026, 5:02:55 PM
GitHub: 505 stars · 84 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Quorinex/Freebuff2API, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README H1 to specify LLM domain
Why:
CURRENT# Freebuff2API
COPY-PASTE FIX# Freebuff2API: OpenAI-compatible Proxy for Free Large Language Models
- hightopics#2Add relevant topics for categorization
Why:
CURRENT(none)
COPY-PASTE FIXopenai-api, llm-proxy, free-llm, api-gateway, token-rotation, docker, ai-proxy
- mediumexamples#3Add a quickstart example using an OpenAI client
Why:
COPY-PASTE FIX## Quickstart with OpenAI Python Client Freebuff2API is fully compatible with standard OpenAI API clients. Here's how to use it with the `openai` Python library: 1. **Install the client:** ```bash pip install openai ``` 2. **Configure and use:** ```python from openai import OpenAI # Point the client to your Freebuff2API proxy endpoint client = OpenAI( base_url="http://localhost:8000/v1", # Replace with your Freebuff2API address api_key="sk-freebuff" # Your Freebuff token (or any placeholder if not enforced by your setup) ) chat_completion = client.chat.completions.create( model="gpt-3.5-turbo", # Or any model supported by Freebuff messages=[{"role": "user", "content": "Hello, Freebuff!"}] ) print(chat_completion.choices[0].message.content) ```
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- huggingface/transformers · recommended 1×
- Hugging Face Inference API · recommended 1×
- OpenAI API · recommended 1×
- Google AI Studio · recommended 1×
- Gemini API · recommended 1×
- CATEGORY QUERYHow to access free large language models using standard AI API clients?you: not recommendedAI recommended (in order):
- Hugging Face Transformers (huggingface/transformers)
- Hugging Face Inference API
- OpenAI API
- Google AI Studio
- Gemini API
- Meta Llama 2
- Mistral AI
- Ollama (ollama/ollama)
- Perplexity AI
AI recommended 9 alternatives but never named Quorinex/Freebuff2API. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a proxy for free LLMs with token rotation and stealth request handling.you: not recommendedAI recommended (in order):
- OpenRouter
- LiteLLM
- Portkey.ai
- Helicone.ai
- Nginx
- Lua
- OpenResty
- Cloudflare Workers
AI recommended 8 alternatives but never named Quorinex/Freebuff2API. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of Quorinex/Freebuff2API?passAI did not name Quorinex/Freebuff2API — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Quorinex/Freebuff2API in production, what risks or prerequisites should they evaluate first?passAI named Quorinex/Freebuff2API explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo Quorinex/Freebuff2API solve, and who is the primary audience?passAI named Quorinex/Freebuff2API explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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Quorinex/Freebuff2API — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite