quantifyme

{
  "id": "aix_5c1d9431af",
  "name": "quantifyme",
  "operator": "(unclaimed - source: registry-official · publisher: ai.quantifyme)",
  "description": "Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-25",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "summarize-docs",
    "trading-strategy"
  ],
  "protocols": {
    "mcp": "https://mcp.quantifyme.ai/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1614,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 51,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-25T02:00:51.478Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://quantifyme.ai/"
    }
  ],
  "profile": {
    "mcp_server": "quantifyme",
    "mcp_version": "0.1.0",
    "tool_count": 13,
    "tools": [
      {
        "name": "one_shot",
        "description": "End-to-end deploy: generate strategy → train → deploy live.\n\n    One of `prompt` (free-form NL), `preset` (curated winning strategy), or\n    `community_id` (copy a published community strategy) is required. If more\n    than one is passed, precedence is community_id > preset > prompt.\n\n    Args:\n      prompt: Natural-language strategy description (e.g. \"Buy when RSI < 30, sell > 70\").\n      symbol: Currency pair to backtest on. One of: EURUSD, USDJPY, GBPUSD,\n        USDCHF, USDCAD, AUDUSD, NZDUSD. Default EURUSD.\n      timeframe: Candle granularity. One of: 1min, 5min, 15min, 1h. Default 15min"
      },
      {
        "name": "get_deploy_result",
        "description": "Wait for a `one_shot` deploy to finish and return its final result.\n\n    `one_shot` returns a job_token immediately and the LIVE CARD already streams\n    progress and renders the interactive backtest chart itself. Call this ONCE with\n    the token to get the final numbers as TEXT so you can summarize them — it does\n    NOT render another card (no need for get_model_chart). It BLOCKS until the deploy\n    finishes (or ~2.5 min); on timeout it returns ok:false + pending:true — call it\n    again with the same token.\n\n    IMPORTANT: if `source == \"community\"`, the deploy used a PRE-EXISTING strateg"
      },
      {
        "name": "link_account",
        "description": "Link this chat to the user's existing QuantifyMe account.\n\n    Call this when the user says they already have a QuantifyMe account, or\n    asks why their models are missing / where a model went, or wants what they\n    deploy here to show up in their own dashboard.\n\n    By default this connector works with NO signup: it mints an anonymous trial\n    account per chat, so models deployed here belong to that throwaway identity\n    rather than to the user's real one. This returns a short-lived URL; once the\n    user opens it and approves, every later call in THIS chat acts as their\n    account and d"
      },
      {
        "name": "list_models",
        "description": "List the user's trained models with pre-computed train/test stats."
      },
      {
        "name": "list_deployed",
        "description": "List the user's currently deployed (live) models."
      },
      {
        "name": "top_up",
        "description": "Fund your QuantifyMe credits with crypto (USDC) — no signup, no human, no\n    card. The agent-native funding rail. SIMULATED in this build (no real charge)\n    and capped at $100 for the POC. Returns your new credit balance."
      },
      {
        "name": "generate_strategy",
        "description": "Generate Python strategy code (no training/deploy). Use when the user wants raw code.\n\n    Args:\n      features: NL description of features (e.g. \"RSI 14, Bollinger Bands\").\n      signals: NL description of signal logic (e.g. \"Buy when RSI < 30\").\n      model: ML model name (default Random Forest).\n      risk: NL risk rules (e.g. \"0.5% stop loss\").\n      description: Optional one-line summary; treated as PRIMARY USER REQUEST.\n      symbol: Currency pair the code should target. One of: EURUSD, USDJPY,\n        GBPUSD, USDCHF, USDCAD, AUDUSD, NZDUSD. Default EURUSD.\n      timeframe: Candle granul"
      },
      {
        "name": "browse_community",
        "description": "Browse the public community leaderboard of published strategies, ranked\n    by a composite performance score (best first). No signup or key needed.\n\n    Copy-trade flow: call this to find a top strategy, then pass its `id` to\n    `one_shot` as `community_id` to deploy a live signal model running that\n    exact strategy in one call.\n\n    Args:\n      limit: How many top entries to return (default 20, max 200).\n      sort: Ranking metric, best-first — one of \"composite\" (default),\n        \"ret\" (total return), \"wr\" (win rate), \"sharpe\", \"n_trades\". Mirrors\n        the quantifyme.ai/community page"
      },
      {
        "name": "find_strategy",
        "description": "Find an existing PROVEN strategy that matches a plain-English idea, so you\n    can offer the user a choice — deploy the existing one, or generate a fresh\n    custom one. Mirrors the quantifyme.ai landing experience: \"Found <X> by\n    @<author> (WR/PF) — Use it / Generate fresh\".\n\n    CALL THIS FIRST when a user describes a strategy idea. Then present the match\n    (if any) and ASK which they want:\n      • Use it          → one_shot(community_id=<match.community_id>) — deploys the\n                          exact proven strategy (free, no generation).\n      • Generate fresh  → one_shot(prompt=\"<"
      },
      {
        "name": "get_strategy_code",
        "description": "Get the actual Python code behind a community leaderboard strategy.\n\n    Use after `browse_community`: pass an entry's `id` here to read its real\n    `feature_engineering()` + `strategy_config()` source so the user can\n    inspect or tweak it. To deploy it unchanged, pass the same id to\n    `one_shot` as `community_id`. Read-only, no signup needed.\n\n    Args:\n      community_id: The `id` of a community entry (from `browse_community`).\n\n    Returns:\n      dict with: id, title, username, description, symbol, timeframe,\n      metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_stra"
      },
      {
        "name": "get_quote",
        "description": "Get the latest price for a G7 FX pair — a quick \"what's it at now\" check.\n\n    Useful for context before deploying a strategy. The price is the close of\n    the most recent 1-minute bar from the platform's market feed (not a raw\n    live tick); FX markets close on weekends, so the `stale` flag marks a bar\n    that is more than 15 minutes old.\n\n    Args:\n      symbol: G7 pair — one of EURUSD, USDJPY, GBPUSD, USDCHF, USDCAD, AUDUSD,\n        NZDUSD. Default EURUSD.\n\n    Returns:\n      dict with: symbol, price (latest close), time (bar timestamp, UTC),\n      change + change_pct (vs the prior 1-min"
      },
      {
        "name": "get_model_chart",
        "description": "Visualize a trained model's backtest — a cumulative-return chart + trade log + stats.\n\n    Use after `one_shot` / `list_models` with the model's `stem` to SHOW the user how it\n    traded (the \"is it actually any good\" view). In ChatGPT this renders an interactive\n    widget. In Claude, render an interactive **artifact** from this tool's structured\n    output: a line chart of the cumulative return plus a table of the trades.\n\n    Args:\n      stem: The model stem (e.g. \"14_EURUSD_15min_Model_24\") from `list_models` / `one_shot`.\n\n    Returns:\n      dict with: ok, stem, symbol, timeframe, stats {"
      },
      {
        "name": "stream_test",
        "description": "Diagnostic: test whether LIVE data streaming works in this client.\n\n    Renders a widget with three panels — a JS timer (baseline), a WebSocket to\n    the live price feed, and an HTTP poll of /quote — each showing a live value\n    + status, so you can see exactly which streaming mechanisms the client's\n    widget sandbox actually permits. Use when a live/ticking chart isn't moving.\n\n    Args:\n      symbol: G7 pair to stream (default EURUSD).\n    "
      }
    ],
    "profiled_at": "2026-09-25T02:00:51.478Z"
  },
  "unreachable": false
}