Digital Experts Hypotheses

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

我該用這個嗎

品質與安全性

A
說明品質
96%
結構描述完整度
68%
命名品質
92%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~717Token(工具定義)
~800 B典型回應大小
中等的注意力影響(128k 上下文的 0.56%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

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

遠端端點

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

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 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.

輸入結構描述

{
  "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').

輸入結構描述

{
  "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).

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

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

建議的提示詞

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

社群

為此伺服器評分

證據

近期觀測

已驗證未記錄版本5 個工具
已驗證未記錄版本5 個工具