agiscorecard-web3-incentives
Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.
我該用這個嗎
品質與安全性
A
發現項目（1）
- LOWTool 'fetch' suggests web access but openWorldHint=false在 fetch 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~1,384Token（工具定義）
~4.9 KB典型回應大小
中等的注意力影響（128k 上下文的 1.08%）
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": {
"agiscorecard-web3-incentives": {
"url": "https://incentives.agiscorecard.com/mcp"
}
}
}遠端端點
https://incentives.agiscorecard.com/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢 唯讀🟡 寫入🔴 刪除⚪ 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.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"maxLength": 160
}
},
"required": [
"query"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}輸出結構描述
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"id",
"title",
"url"
],
"additionalProperties": false
}
}
},
"required": [
"results"
],
"$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.
輸入結構描述
{
"type": "object",
"properties": {
"id": {
"type": "string",
"enum": [
"incentives"
]
}
},
"required": [
"id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}輸出結構描述
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"text": {
"type": "string"
},
"url": {
"type": "string"
},
"metadata": {
"type": "object",
"properties": {
"version": {
"type": "string"
},
"revision": {
"type": "string"
},
"reviewedAt": {
"type": "string"
},
"evidenceType": {
"type": "string"
}
},
"required": [
"version",
"revision",
"reviewedAt",
"evidenceType"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"text",
"url",
"metadata"
],
"$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.
輸入結構描述
{
"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."
}輸出結構描述
{
"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
}社群
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