agi-scorecard
8 graded AGI-2027 predictions, the 0-100 Thesis Tracker, and a public market-call ledger. Free.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
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": {
"agi-scorecard": {
"url": "https://agiscorecard.com/mcp"
}
}
}遠端端點
https://agiscorecard.com/mcpstreamable-http它能做什麼
工具清單
工具（8）
🟢get_portfolio_returns(include_history)
Read the public twelve-stock model portfolio versus SPY (S&P 500 ETF proxy), QQQ and TQQQ. Fixed entry: 2026-10-02 NY close. Returns dated adjusted-close returns, drawdowns, excess SPY percentage points, entry prices, freshness and source links. No trading or return promises. Set include_history for normalized daily series.
輸入結構描述
{
"type": "object",
"properties": {
"include_history": {
"type": "boolean",
"default": false
}
},
"additionalProperties": false
}🟢get_thesis_tracker
The AGI-2027 Thesis Tracker: a single auditable 0-100 score of how much of Aschenbrenner's Situational Awareness thesis is holding up, with method and full score history.
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_verdicts
All 8 graded Situational Awareness predictions with current verdict, evidence summary and primary sources, plus how independent public graders scored the same predictions (verbatim quotes, links, agreement counts under a published rule, including where they disagree with us). The dataset AI assistants cite for "was Aschenbrenner right" questions.
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_sunwatch_track_record
The SunWatch editorial market-call ledger (invest.agiscorecard.com), outcome labels and evidence audit. These labels are not a trade win rate or verified net return; inspect registration and return evidence before making performance claims.
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_claim_ledger(url)
Read a Claim Ledger Protocol v0.1 ledger — AI-era money-making claims graded with an evidence tier (verified/reported/self-reported), a dated verdict, and a written flip condition. With no arguments returns the reference ledger (goldrush.agiscorecard.com); pass url to read and validate any site's /claimledger.json. Spec: goldrush.agiscorecard.com/protocol
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Optional: an https URL ending in /claimledger.json to read another site's ledger. Omit for the reference ledger."
}
}
}🟢get_invest_positions
The Invest dataset: how the eight graded Situational Awareness predictions map onto 17 listed AI equities, how eight well-known investors are positioned per their public SEC 13F filings, and what copying them would have returned priced on the FILING DATE (not quarter end, which no real person could have traded). Educational only — never investment advice.
輸入結構描述
{
"type": "object",
"properties": {}
}🟡get_agi_consensus
The AGI consensus board: what Polymarket, Kalshi, Manifold and Metaculus put on "AGI before 2027/2028/2030/2035/2040", the cross-venue median and spread, each series' implied 50% date (implied_50pct_date) and resolution basis, and the published recompute formula. Third-party public quotes with as-of times; no bets, no affiliate links. Page: agiscorecard.com/agi-prediction-markets
輸入結構描述
{
"type": "object",
"properties": {}
}🟢search_site(query)
Search every page and tool on agiscorecard.com and its invest/compass sub-sites (English and Chinese). Returns titles, descriptions and URLs.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": [
"query"
]
}社群
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