agiscorecard-web3-incentives

Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
87%
命名质量
93%
投毒风险
100%
权限匹配度
90%
协议合规性
100%

发现(1)

  • LOWTool 'fetch' suggests web access but openWorldHint=false在 fetch 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,384token 数(工具定义)
~4.9 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.08%)

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": {
    "agiscorecard-web3-incentives": {
      "url": "https://incentives.agiscorecard.com/mcp"
    }
  }
}

远程端点

https://incentives.agiscorecard.com/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢search(query)

Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 160
    }
  },
  "required": [
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "title",
          "url"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "results"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢fetch(id)

Retrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.

输入模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "enum": [
        "incentives"
      ]
    }
  },
  "required": [
    "id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "text": {
      "type": "string"
    },
    "url": {
      "type": "string"
    },
    "metadata": {
      "type": "object",
      "properties": {
        "version": {
          "type": "string"
        },
        "revision": {
          "type": "string"
        },
        "reviewedAt": {
          "type": "string"
        },
        "evidenceType": {
          "type": "string"
        }
      },
      "required": [
        "version",
        "revision",
        "reviewedAt",
        "evidenceType"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "id",
    "title",
    "text",
    "url",
    "metadata"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢model_contributor_rewards(currency, customerRevenue, tokenSubsidy, computeCost, reviewCost, ...)

Incentive Lab separates customer revenue from token subsidy, then allocates a declared reward budget using accepted work and quality weights. Contributor caps and exact budget conservation keep the scenario inspectable. The worksheet does not establish Sybil resistance or distribute tokens. No live subnet data, fraud detection, Bittensor emission replication, staking recommendation or token distribution. Retrieve incentives with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

输入模式

{
  "type": "object",
  "properties": {
    "currency": {
      "type": "string",
      "maxLength": 131072,
      "description": "Currency (preserve source text; decimal amounts must stay strings)"
    },
    "customerRevenue": {
      "type": "string",
      "maxLength": 131072,
      "description": "Customer Revenue (preserve source text; decimal amounts must stay strings)"
    },
    "tokenSubsidy": {
      "type": "string",
      "maxLength": 131072,
      "description": "Token Subsidy (preserve source text; decimal amounts must stay strings)"
    },
    "computeCost": {
      "type": "string",
      "maxLength": 131072,
      "description": "Compute Cost (preserve source text; decimal amounts must stay strings)"
    },
    "reviewCost": {
      "type": "string",
      "maxLength": 131072,
      "description": "Review Cost (preserve source text; decimal amounts must stay strings)"
    },
    "otherCost": {
      "type": "string",
      "maxLength": 131072,
      "description": "Other Cost (preserve source text; decimal amounts must stay strings)"
    },
    "budget": {
      "type": "string",
      "maxLength": 131072,
      "description": "Total budget (preserve source text; decimal amounts must stay strings)"
    },
    "capPercent": {
      "type": "number",
      "description": "Maximum contributor share (%)"
    },
    "contributors": {
      "maxItems": 200,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "maxLength": 131072,
            "description": "Record ID (preserve source text; decimal amounts must stay strings)"
          },
          "acceptedTasks": {
            "type": "number",
            "description": "Accepted Tasks"
          },
          "quality": {
            "type": "number",
            "description": "Quality factor (0–1)"
          },
          "independent": {
            "type": "boolean",
            "description": "Independent evidence declared"
          }
        },
        "required": [
          "id",
          "acceptedTasks",
          "quality",
          "independent"
        ],
        "additionalProperties": false,
        "description": "Exact record structure; the engine additionally checks bounds, dates, identifiers and cross-field constraints."
      },
      "description": "Contributors"
    }
  },
  "required": [
    "currency",
    "customerRevenue",
    "tokenSubsidy",
    "computeCost",
    "reviewCost",
    "otherCost",
    "budget",
    "capPercent",
    "contributors"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false,
  "description": "Exact record structure; the engine additionally checks bounds, dates, identifiers and cross-field constraints."
}

输出模式

{
  "type": "object",
  "properties": {
    "toolId": {
      "type": "string"
    },
    "version": {
      "type": "string"
    },
    "revision": {
      "type": "string"
    },
    "processing": {
      "type": "string"
    },
    "evidenceStatus": {
      "type": "string"
    },
    "citation": {
      "type": "object",
      "properties": {
        "title": {
          "type": "string"
        },
        "url": {
          "type": "string"
        },
        "methodUrl": {
          "type": "string"
        },
        "reviewedAt": {
          "type": "string"
        },
        "scope": {
          "type": "string"
        }
      },
      "required": [
        "title",
        "url",
        "methodUrl",
        "reviewedAt",
        "scope"
      ],
      "additionalProperties": false
    },
    "officialReferences": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string"
          },
          "relationship": {
            "type": "string"
          }
        },
        "required": [
          "title",
          "url",
          "relationship"
        ],
        "additionalProperties": false
      }
    },
    "limitations": {
      "type": "string"
    },
    "report": {
      "type": "object",
      "properties": {
        "version": {
          "type": "string"
        },
        "title": {
          "type": "string"
        },
        "summary": {
          "type": "string"
        },
        "metrics": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "label": {
                "type": "string"
              },
              "value": {
                "type": [
                  "string",
                  "number"
                ]
              }
            },
            "required": [
              "label",
              "value"
            ],
            "additionalProperties": false
          }
        },
        "tables": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string"
              },
              "columns": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "rows": {
                "type": "array",
                "items": {
                  "type": "array",
                  "items": {
                    "type": [
                      "string",
                      "number",
                      "boolean",
                      "null"
                    ]
                  }
                }
              }
            },
            "required": [
              "title",
              "columns",
              "rows"
            ],
            "additionalProperties": false
          }
        },
        "notes": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "data": {}
      },
      "required": [
        "version",
        "title",
        "summary",
        "metrics",
        "tables",
        "notes",
        "data"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "toolId",
    "version",
    "revision",
    "processing",
    "evidenceStatus",
    "citation",
    "officialReferences",
    "limitations",
    "report"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

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