Mode VC LLM Token Economics & Model Release Velocity

Query empirical frontier LLM release velocity, inference token deflation, and enterprise AI spend.

Should I use this

Quality & Safety

A
Description quality
93%
Schema completeness
93%
Naming quality
95%
Poisoning risk
80%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainin calc_llm_inference_cost
  • LOWTool 'calc_llm_inference_cost' description lacks action verbin calc_llm_inference_cost

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~983Tokens (tool definitions)
~1.5 KBTypical response size
Moderate attention impact (0.77% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "llm-economics": {
      "url": "https://modevc.com/api/mcp/llm-economics"
    }
  }
}

Remote endpoints

https://modevc.com/api/mcp/llm-economicsstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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.

Input Schema

{
  "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
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools