RRepoGEO

REPOGEO REPORT · LITE

RockChinQ/free-one-api

Default branch main · commit a1973328 · scanned 6/2/2026, 2:17:06 AM

GitHub: 842 stars · 112 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 RockChinQ/free-one-api, 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.

OVERALL DIRECTION
  • highreadme#1
    Refine README's main positioning statement to emphasize 'free, reverse-engineered LLMs'

    Why:

    CURRENT
    通过标准的 OpenAI API 格式访问所有的 LLM 逆向工程库
    COPY-PASTE FIX
    通过标准的 OpenAI API 格式,免费访问所有逆向工程的 LLM 库,包括 ChatGPT / gpt4free / Bard / Claude / HuggingChat / 通义千问 等。
  • mediumcomparison#2
    Create a dedicated 'Comparison with Other Projects' section in the README

    Why:

    CURRENT
    The README currently includes a brief note distinguishing from `songquanpeng/one-api` under the H1.
    COPY-PASTE FIX
    Add a new section `## 对比其他项目 (Comparison with Other Projects)` with explicit comparisons to `songquanpeng/one-api`, LiteLLM, and OpenRouter.ai, highlighting `free-one-api`'s focus on free/reverse-engineered LLMs.
    
    ```
    ## 对比其他项目 (Comparison with Other Projects)
    
    - **与 songquanpeng/one-api 的区别**: `free-one-api` 专注于提供免费的、逆向工程的 LLM 接口,通过标准 OpenAI API 格式访问非官方模型;而 `songquanpeng/one-api` 则专注于管理和代理官方的、付费的 LLM 接口。
    - **与 LiteLLM / OpenRouter.ai 的区别**: `free-one-api` 的核心价值在于聚合和标准化免费及逆向工程的 LLM 访问;LiteLLM 和 OpenRouter.ai 主要用于统一访问官方或付费的 LLM API。
    ```
  • lowexamples#3
    Add a quick start code example to the README

    Why:

    CURRENT
    The README currently directs users to external documentation for deployment and configuration, without an immediate code example.
    COPY-PASTE FIX
    Add a new section `## 快速开始 (Quick Start)` with a simple `curl` or Python example demonstrating how to make a call to the `free-one-api` endpoint.
    
    ```
    ## 快速开始 (Quick Start)
    
    部署后,您可以通过以下方式快速测试:
    
    ```bash
    curl -X POST http://localhost:3000/v1/chat/completions \
         -H "Content-Type: application/json" \
         -d '{
           "model": "gpt-3.5-turbo",
           "messages": [
             {"role": "user", "content": "Hello, how are you?"}
           ]
         }'
    ```
    ```python
    from openai import OpenAI
    client = OpenAI(
        base_url="http://localhost:3000/v1", # 替换为您的 free-one-api 地址
        api_key="sk-", # 任意值即可
    )
    chat_completion = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": "Hello, how are you?"}],
    )
    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.

Recall
0 / 2
0% of queries surface RockChinQ/free-one-api
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenRouter.ai · recommended 1×
  5. Hugging Face Inference API · recommended 1×
  • CATEGORY QUERY
    How to access various free AI chatbots using a single standard API interface?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. LangChain
    3. LlamaIndex
    4. OpenRouter.ai
    5. Hugging Face Inference API
    6. FastChat

    AI recommended 6 alternatives but never named RockChinQ/free-one-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a unified API gateway for managing multiple unofficial large language models.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Proxy
    2. LiteLLM
    3. Portkey.ai
    4. APISIX
    5. Kong Gateway
    6. Nginx
    7. Caddy

    AI recommended 7 alternatives but never named RockChinQ/free-one-api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

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 RockChinQ/free-one-api?
    pass
    AI did not name RockChinQ/free-one-api — 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 RockChinQ/free-one-api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RockChinQ/free-one-api 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 RockChinQ/free-one-api solve, and who is the primary audience?
    pass
    AI did not name RockChinQ/free-one-api — 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?

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RockChinQ/free-one-api — 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