RRepoGEO

REPOGEO REPORT · LITE

MoonshotAI/K2-Vendor-Verifier

Default branch main · commit 0bc5061b · scanned 6/2/2026, 7:07:58 PM

GitHub: 573 stars · 34 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 MoonshotAI/K2-Vendor-Verifier, 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
  • highabout#1
    Clarify the repository's 'About' description

    Why:

    CURRENT
    Verify Precision of all Kimi K2 API Vendor
    COPY-PASTE FIX
    Objectively verify and compare the tool-calling accuracy and consistency of Kimi K2 LLM APIs from various vendors.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-evaluation, tool-calling, api-testing, kimi-k2, llm-benchmarking, generative-ai, vendor-comparison
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use.

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 MoonshotAI/K2-Vendor-Verifier
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI · recommended 1×
  2. Anthropic · recommended 1×
  3. Google Cloud · recommended 1×
  4. Mistral AI · recommended 1×
  5. Cohere · recommended 1×
  • CATEGORY QUERY
    How to objectively compare tool-calling accuracy across different LLM API vendors?
    you: not recommended
    AI recommended (in order):
    1. OpenAI
    2. Anthropic
    3. Google Cloud
    4. Mistral AI
    5. Cohere
    6. LlamaIndex
    7. LangChain

    AI recommended 7 alternatives but never named MoonshotAI/K2-Vendor-Verifier. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist to monitor and ensure consistent performance of third-party LLM APIs?
    you: not recommended
    AI recommended (in order):
    1. Helicone.ai
    2. Langfuse
    3. Datadog Synthetics
    4. Grafana k6
    5. Postman Monitors
    6. New Relic Synthetics
    7. UptimeRobot
    8. Pingdom

    AI recommended 8 alternatives but never named MoonshotAI/K2-Vendor-Verifier. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 MoonshotAI/K2-Vendor-Verifier?
    pass
    AI named MoonshotAI/K2-Vendor-Verifier explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts MoonshotAI/K2-Vendor-Verifier in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MoonshotAI/K2-Vendor-Verifier 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 MoonshotAI/K2-Vendor-Verifier solve, and who is the primary audience?
    pass
    AI named MoonshotAI/K2-Vendor-Verifier explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MoonshotAI/K2-Vendor-Verifier — 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