agi-scorecard
8 graded AGI-2027 predictions, the 0-100 Thesis Tracker, and a public market-call ledger. Free.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"agi-scorecard": {
"url": "https://agiscorecard.com/mcp"
}
}
}원격 엔드포인트
https://agiscorecard.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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
입력 스키마
{
"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.
입력 스키마
{
"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
입력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": [
"query"
]
}커뮤니티
증거