agi-scorecard
8 graded AGI-2027 predictions, the 0-100 Thesis Tracker, and a public market-call ledger. Free.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"agi-scorecard": {
"url": "https://agiscorecard.com/mcp"
}
}
}Remote-Endpunkte
https://agiscorecard.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (7)
🟢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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢get_sunwatch_track_record
The SunWatch market-call ledger (invest.agiscorecard.com): every AI-cycle market judgment logged as a falsifiable trigger BEFORE the outcome, graded hit/miss with misses never deleted. Returns scored count, hit rate and each call with date, verdict, survival odds and English summary. Covers memory/storage, optical, robotics, space, energy and crypto cycles across US/HK/China A-share markets.
Eingabe-Schema
{
"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
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": [
"query"
]
}Community
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