Mode VC LLM Token Economics & Model Release Velocity
Query empirical frontier LLM release velocity, inference token deflation, and enterprise AI spend.
我该使用它吗
质量与安全性
发现(3)
- HIGH
- MEDIUM在 calc_llm_inference_cost 中
- LOW在 calc_llm_inference_cost 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"llm-economics": {
"url": "https://modevc.com/api/mcp/llm-economics"
}
}
}远程端点
https://modevc.com/api/mcp/llm-economicsstreamable-http它能做什么
工具清单
工具(4)
🟢get_venture_chart_of_the_day(limit)
Returns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeaway, URL and cited sources.
输入模式
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 10,
"description": "Number of recent charts. Default 3."
}
},
"additionalProperties": false
}🟢search_charts(query, limit)
Searches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The archive grows by one chart a day; the response states its current size.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search term, e.g. \"pricing\", \"claude\", \"inference\", \"sdk\""
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"description": "Maximum charts to return. Default 10."
}
},
"additionalProperties": false
}🟢get_chart_data(slug)
Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Chart slug or title, e.g. \"pre-seed-valuation-dispersion\", \"ai-inference-cost-comparison\""
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢calc_llm_inference_cost(monthly_active_users, requests_per_user, input_tokens_per_request, output_tokens_per_request, model, ...)
Estimates monthly LLM spend, cost per user and per request, prompt-cache savings and gross margin for a usage profile on one of 8 models, compares all 8 models, and prices an 80/20 hybrid of DeepSeek and Claude 3.7 Sonnet. Same math and the same fixed price table as https://modevc.com/tools/llm-inference-calculator. The prices are that page's illustrative table, not a live price feed.
输入模式
{
"type": "object",
"properties": {
"monthly_active_users": {
"type": "number",
"exclusiveMinimum": 0,
"minimum": 1,
"zeroNote": "the web calculator replaces 0 with its default",
"description": "Web default 5,000."
},
"requests_per_user": {
"type": "number",
"exclusiveMinimum": 0,
"minimum": 1,
"zeroNote": "the web calculator replaces 0 with its default",
"description": "Requests per user per month. Web default 40."
},
"input_tokens_per_request": {
"type": "number",
"exclusiveMinimum": 0,
"minimum": 1,
"zeroNote": "the web calculator replaces 0 with its default",
"description": "Web default 1,200."
},
"output_tokens_per_request": {
"type": "number",
"exclusiveMinimum": 0,
"minimum": 1,
"zeroNote": "the web calculator replaces 0 with its default",
"description": "Web default 400."
},
"model": {
"type": "string",
"enum": [
"claude-3-7-sonnet",
"gpt-4o",
"gemini-2-5-pro",
"deepseek-v4",
"claude-3-5-haiku",
"gpt-4o-mini",
"gemini-2-5-flash",
"groq-lpu-qwen"
],
"description": "Primary model. Web default claude-3-7-sonnet."
},
"cache_hit_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Share of input tokens served from the prompt cache, in percent. Web default 40."
},
"price_per_user_usd": {
"type": "number",
"exclusiveMinimum": 0,
"zeroNote": "the web calculator replaces 0 with its default",
"description": "Monthly revenue per user in USD. Web default 20."
}
},
"additionalProperties": false
}社区
证据