agiscorecard-web3-proof
Estimate zkML proving and verification costs and latency from supplied measurements; no proofs run.
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
~1,374Token（工具定義）
~4.7 KB典型回應大小
中等的注意力影響（128k 上下文的 1.07%）
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-proof": {
"url": "https://proof.agiscorecard.com/mcp"
}
}
}遠端端點
https://proof.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": [
"proof"
]
}
},
"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
}🟢plan_zkml_costs(statement, modelHash, inputHash, verificationKeyHash, verifierVersion, ...)
Proof Plan estimates proving compute and onchain verification costs from your own measurements. It checks a per-job latency target and preserves model, input and verification-key hashes. It plans an integration; it does not generate or verify a zero-knowledge proof. No ZK proof generation or cryptographic verification. File hashing verifies bytes only; it is not proof of model correctness. Retrieve proof 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": {
"statement": {
"type": "string",
"maxLength": 131072,
"description": "Statement (preserve source text; decimal amounts must stay strings)"
},
"modelHash": {
"type": "string",
"maxLength": 131072,
"description": "Model Hash (preserve source text; decimal amounts must stay strings)"
},
"inputHash": {
"type": "string",
"maxLength": 131072,
"description": "Input Hash (preserve source text; decimal amounts must stay strings)"
},
"verificationKeyHash": {
"type": "string",
"maxLength": 131072,
"description": "Verification Key Hash (preserve source text; decimal amounts must stay strings)"
},
"verifierVersion": {
"type": "string",
"maxLength": 131072,
"description": "Verifier Version (preserve source text; decimal amounts must stay strings)"
},
"jobs": {
"type": "number",
"description": "Jobs"
},
"proveSeconds": {
"type": "number",
"description": "Proving time (seconds)"
},
"verifyMs": {
"type": "number",
"description": "Verification time (ms)"
},
"proofBytes": {
"type": "number",
"description": "Proof size (bytes)"
},
"gasPerVerify": {
"type": "number",
"description": "Gas per verification"
},
"gasPriceGwei": {
"type": "number",
"description": "Gas Price Gwei"
},
"nativePriceUsd": {
"type": "number",
"description": "Native token price (USD)"
},
"computeHourlyUsd": {
"type": "number",
"description": "Proving compute (USD/hour)"
},
"budgetUsd": {
"type": "number",
"description": "Budget (USD)"
},
"latencySlaSeconds": {
"type": "number",
"description": "Latency target (seconds)"
}
},
"required": [
"statement",
"modelHash",
"inputHash",
"verificationKeyHash",
"verifierVersion",
"jobs",
"proveSeconds",
"verifyMs",
"proofBytes",
"gasPerVerify",
"gasPriceGwei",
"nativePriceUsd",
"computeHourlyUsd",
"budgetUsd",
"latencySlaSeconds"
],
"$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
證據
近期觀測
已驗證未記錄版本3 個工具