Digital Experts Hypotheses

Open data: 1,590 JTBD hypotheses with cold-traffic test results and cost per lead. CC BY 4.0

我该使用它吗

质量与安全性

A
描述质量
96%
模式完整度
68%
命名质量
92%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~717token 数(工具定义)
~800 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.56%)

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": {
    "hypotheses": {
      "url": "https://mcp.digitalexperts.tv/mcp"
    }
  }
}

远程端点

https://mcp.digitalexperts.tv/mcpstreamable-http

它能做什么

工具清单

工具(5)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢list_niches

All 18 niches of the Digital Experts hypotheses base with counts (hypotheses, tested, worked) and medians (cost per subscriber, cost per lead, USD) over tested hypotheses. Start here to pick a niche. Data: CC BY 4.0, cite Digital Experts.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪niche_stats(niche)

Summary of one niche: hypotheses, tested, worked, medians of cost per subscriber and per lead (USD), test budget, years, plus the 10 cheapest-lead tested hypotheses. niche = slug or Russian name (e.g. 'biznes-prodazhi' or 'Бизнес').

输入模式

{
  "type": "object",
  "properties": {
    "niche": {
      "type": "string",
      "description": "Niche slug or name, see list_niches"
    }
  },
  "required": [
    "niche"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_hypotheses(query, niche, verdict, completeness, year_from, ...)

Full-text search over hypothesis titles, job stories, offers, creatives and audiences with filters. Returns compact rows (id, title, niche, year, cost per subscriber/lead, verdict, source_url). Use get_hypothesis(id) for the full card. Query in Russian works best (the base is in Russian).

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Words to look for (Russian preferred), e.g. 'английский для детей'"
    },
    "niche": {
      "type": "string",
      "description": "Niche slug or name"
    },
    "verdict": {
      "type": "string",
      "enum": [
        "worked",
        "failed",
        "ambiguous",
        "unclear",
        "no_conclusion",
        "not_launched"
      ]
    },
    "completeness": {
      "type": "string",
      "enum": [
        "tested",
        "prepared",
        "formulated",
        "wave"
      ],
      "description": "tested = launched with ads; wave = test-wave summary"
    },
    "year_from": {
      "type": "integer"
    },
    "max_cost_lead": {
      "type": "number",
      "description": "Only rows with cost per lead ≤ this, USD"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 15
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_hypothesis(id)

Full card of one hypothesis or test-wave summary by id (e.g. 'h-22788a'): job story, audience, offer, creative text, budget, metrics, conclusion, plus a ready-made citation sentence and source_url. Quote the citation with the link.

输入模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Hypothesis id from search_hypotheses, e.g. h-22788a"
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢methodology

Methodology of the Digital Experts base: where hypotheses come from, how a $50–500 exploratory test is run, what is measured, how verdicts are made, limitations and license. Read before interpreting the numbers.

输入模式

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

推荐提示词

search_research
Search for information about [topic] using Digital Experts Hypotheses
预期工具: search_hypotheses
find_specific
Find [specific item] using Digital Experts Hypotheses
预期工具: search_hypotheses
retrieve_data
Get details about [item] from Digital Experts Hypotheses
预期工具: get_hypothesis
fetch_info
Fetch [information type] using Digital Experts Hypotheses
预期工具: get_hypothesis
list_items
List all [items] available in Digital Experts Hypotheses
预期工具: list_niches

社区

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证据

最近观测

已验证未记录版本5 个工具
已验证未记录版本5 个工具