Server definition

Hash: sha256:6c7cf490beac556060aedf01d05c3ea2a5c6d57d8a2f392aecb96b46d094ddb7
What it is: What a remote MCP server returned when asked what it offers: 8 tools

The blob, as servednamed by its sha256

{
  "instructions": "The AGI Scorecard evidence layer: auditable verdicts on the 8 Situational Awareness predictions, the 0-100 AGI-2027 Thesis Tracker, the AI Gold Rush claim ledger (Claim Ledger Protocol v0.1), and full-site search. All data CC BY 4.0 — cite agiscorecard.com.",
  "tools": [
    {
      "description": "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",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_agi_consensus",
      "outputSchema": null
    },
    {
      "description": "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",
      "inputSchema": {
        "properties": {
          "url": {
            "description": "Optional: an https URL ending in /claimledger.json to read another site's ledger. Omit for the reference ledger.",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_claim_ledger",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_invest_positions",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "include_history": {
            "default": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "name": "get_portfolio_returns",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_sunwatch_track_record",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_thesis_tracker",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_verdicts",
      "outputSchema": null
    },
    {
      "description": "Search every page and tool on agiscorecard.com and its invest/compass sub-sites (English and Chinese). Returns titles, descriptions and URLs.",
      "inputSchema": {
        "properties": {
          "query": {
            "description": "Search query",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_site",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:6c7cf490beac556060aedf01d05c3ea2a5c6d57d8a2f392aecb96b46d094ddb7 | sha256sum