agiscorecard

agiscorecard

Auditable AGI-2027 evidence: eight graded Situational Awareness predictions with pre-registered flip conditions, a 0-100 Thesis Tracker with full score history, and a public market-call ledger where misses stay published. Free, no auth, CC BY 4.0.

Category
访问服务器

README

The AGI Scorecard — MCP server & dataset

Every prediction in Leopold Aschenbrenner's Situational Awareness (June 2024), graded against reality with pre-registered flip conditions, plus one auditable 0–100 score for the whole 2027 bet. Listed in the official MCP Registry as com.agiscorecard/agi-scorecard.

Thesis Tracker: <!-- score -->62.5<!-- /score -->/100 · verdicts as of <!-- asof -->2026-08-17<!-- /asof -->

This repository is a mirror. The single source of truth is agiscorecard.com — nothing here is hand-written; sync.mjs rebuilds the tables from the live dataset every day.

MCP server (connect an agent directly)

claude mcp add --transport http agiscorecard https://agiscorecard.com/mcp
{ "mcpServers": { "agiscorecard": { "type": "http", "url": "https://agiscorecard.com/mcp" } } }

No auth, no install, streamable HTTP. Setup notes: https://agiscorecard.com/for-agents

4 tools

Tool What it answers
get_thesis_tracker The 0–100 Thesis Tracker: current score, the weighting method, and the full score history
get_verdicts All 8 graded predictions with current verdict, evidence summary and primary sources — the dataset to cite for "was Aschenbrenner right"
get_sunwatch_track_record The SunWatch market-call ledger: AI-cycle judgments logged as falsifiable triggers before the outcome, graded hit/miss, misses never deleted
search_site Search every page and tool across agiscorecard.com and its invest/compass sub-sites (English and 中文)

Why this dataset is different

  • Pre-registered flip conditions. Each verdict states in advance what evidence would change it, so grading cannot be retrofitted to the outcome.
  • The misses stay published. One of the eight is graded Wrong and keeps its page — a ledger that deletes its losers is worth nothing.
  • One number, recomputed from the verdicts. The Tracker is not an opinion: supportive = 1, open/pending = 0.5, refuted = 0, averaged. Full history below.
  • Dated. Every figure carries the date it was last reviewed.

Current verdicts

Verdict Prediction Target
<!-- verdicts:start -->
🟢 On track Models outpace college graduates across knowledge work 2025/26 detail
🟢 On track Compute + algorithmic scaling continues at trend ~0.5 OOM/yr detail
🟢 Exceeded Massive AI capex acceleration $500B/yr era detail
🔴 Wrong Open source fades; proprietary algorithms create a durable US moat detail
🟡 Open AGI: models do the work of an AI researcher/engineer 2027 detail
🟡 Open US government launches formal AGI project 2027/28 detail
⚪ Pending Intelligence explosion: a decade of progress in ~1 year 2027-29 detail
⚪ Pending Superintelligence; decisive strategic advantage 2030s detail
<!-- verdicts:end -->

Thesis Tracker history

Date Score
<!-- history:start -->
2026-06-30 62.5
2026-07-12 62.5
2026-08-08 62.5
<!-- history:end -->

Machine-readable

File What it is
data.json The verdicts dataset (mirror of https://agiscorecard.com/data.json)
index-history.json Every Thesis Tracker reading ever recorded
server.json MCP Registry manifest

Also served live: /llms.txt · /data.json · /index-history.json

Licence

Dataset: CC BY 4.0 — free to use with attribution to agiscorecard.com. See LICENSE.

Not investment advice; research and education only.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选