_ registry / mcp streamable-http · checked 1h ago

varrd

https://app.varrd.com

Registry code: c0a21fc9d64b0ae7

api record

WHAT VARRD IS (read this first):

VARRD is a truth-seeking edge layer for markets. Most 'trading edges' are overfit noise — our job is to find the few that are real and prove it honestly. Every hypothesis runs a purpose-built engine with institutional rigor: Bonferroni-corrected significance, K-tracking so you can't p-hack, strict no-lookahead, and tested against the market's own drift — not just zero (strategies with stops also pass a sacred one-shot out-of-sample test). 'No edge' is a valid, common result. We filter for edges; we don't manufacture them.

endpoint
https://app.varrd.com/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
274ms

last good check

priced tools
0

of 9 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 9 tools
2 open1 auth-required 6 never probed 3 of 9 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • varrd_edges open 1h ago

    THE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of THIS USER'S OWN statistically validated trading edges — the ones on their account — running 24/7 against real market data. See which of YOUR edges are firing right now, get trade levels, or audit the full methodology. Scoped to the connected account: if the user has no edges yet, this returns none (it is NOT a general/shared library). THREE TIERS: depth=0 (FREE — call this first): See which of YOUR edges are firing right now, pending bar close, or actively in trades. Markets and status only — no direction, no stats. Get a sense of what's live. depth=1 ($0.50): Unlock direction, occurrence count, EV/trade, stop-loss, take-profit, hold horizon, and current entry prices for ALL active edges in one request. depth=2 ($1 per edge, $5 for all): Full methodology — the actual formula, setup code, how the edge was discovered, edge decay analysis, complete performance analytics (Sharpe, drawdown, equity curve, profit factor). Machine-readable so any AI can audit the statistical rigor. Includes drill-down sections (free after purchase): setup_code, horizons, analytics, occurrences, and view (interactive chart link for your user, 15 min). Every edge in this library is Bonferroni-corrected, tested against both zero returns and market baseline, with K-tracking to prevent p-hacking. Out-of-sample validated. Full transparency.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "depth": {
      "enum": [
        0,
        1,
        2
      ],
      "type": "integer",
      "default": 0,
      "description": "0=free (markets + status), 1=$0.50 (direction, stats, trade levels for ALL active edges), 2=$1/edge or $5/all (full methodology + performance). Cheaper than a coffee."
    },
    "market": {
      "type": "string",
      "description": "Filter by market symbol (e.g. 'ES', 'GC'). Omit to see all."
    },
    "status": {
      "type": "string",
      "description": "Filter by status: 'firing', 'pending', 'active', or omit for all."
    },
    "edge_id": {
      "type": "string",
      "description": "Specific edge ID for depth 1 or 2 detail. Omit to see all edges."
    },
    "section": {
      "type": "string",
      "description": "Drill into a specific section of a depth=2 edge (free after purchase). Options: setup_code, horizons, analytics, occurrences, view. Omit to get the overview directory."
    },
    "direction": {
      "enum": [
        "LONG",
        "SHORT"
      ],
      "type": "string",
      "description": "Filter by direction: 'LONG' or 'SHORT'."
    },
    "timeframe": {
      "type": "string",
      "description": "Filter by timeframe: '60min', '120min', '240min', '480min', 'daily', 'weekly'."
    },
    "asset_class": {
      "enum": [
        "futures",
        "equities",
        "crypto"
      ],
      "type": "string",
      "description": "Filter by asset class: 'futures', 'equities', 'crypto'."
    }
  }
}
    arguments 52 lines
  • check_balance open 1h ago

    Check your credit balance and see available credit packs. Free — no credits consumed. Also auto-detects completed payments — call this after your user pays via a checkout link to confirm credits were added. If payment went through, the response includes recovered_cents.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • get_briefed auth-required 1h ago

    Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • varrd_ai unknown never probed

    Talk to VARRD AI (~$0.25/turn). Describe any trading idea in plain language and the system handles everything — loading decades of market data, charting your pattern, running statistical tests, backtesting with stops, and generating exact trade setups. MULTI-TURN: First call creates a session. Keep calling with the same session_id, following context.next_actions each time. 1. Your idea -> VARRD charts pattern 2. 'test it' -> statistical test (event study or backtest) 3. 'show me the trade setup' -> exact entry/stop/target prices HYPOTHESIS INTEGRITY (critical): VARRD tests ONE hypothesis at a time — one formula, one setup. Never combine multiple setups into one formula or ask to 'test all' — each idea must be tested as a separate hypothesis for the statistics to be valid. Say 'start a new hypothesis' between ideas to reset cleanly. - ALLOWED: Test the SAME setup across multiple markets ('test this on ES, NQ, and CL') — same formula, different data. - NOT ALLOWED: Test multiple DIFFERENT formulas/setups at once — each is a separate hypothesis requiring its own chart-test-result cycle. If ELROND council returns 4 setups, test each one separately: chart setup 1 -> test -> results -> 'start new hypothesis' -> chart setup 2 -> etc. KEY CAPABILITIES you can ask for: - 'Use the ELROND council on [market]' -> 8 expert investigators - 'Optimize the stop loss and take profit' -> SL/TP grid search - 'Test this on ES, NQ, and CL' -> multi-market testing - 'Simulate trading this with 1.5 ATR stop' -> backtest with stops EDGE VERDICTS in context.edge_verdict after testing: - STRONG EDGE: Significant vs zero AND vs market baseline - MARGINAL: Significant vs zero only (beats nothing, but real signal) - PINNED: Significant vs market only (flat returns but different from market) - NO EDGE: Neither significant test passed TERMINAL STATES: Stop when context.has_edge is true (edge found) or false (no edge — valid result). Always read context.next_actions.

    mcp-tool

    {
  "type": "object",
  "required": [
    "message"
  ],
  "properties": {
    "message": {
      "type": "string",
      "description": "Your trading idea, research question, or instruction (e.g. 'test it', 'show trade setup')."
    },
    "session_id": {
      "type": "string",
      "description": "Session ID from a previous call. Omit to start a new research session."
    }
  }
}
    arguments 16 lines
  • search unknown never probed

    Search your saved hypotheses by keyword or natural language query. Returns matching strategies ranked by relevance, with key stats (win rate, Sharpe, edge status). Use this to find strategies you've already validated.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "description": "Max results to return."
    },
    "query": {
      "type": "string",
      "description": "Search query — keywords or natural language (e.g. 'momentum strategies', 'RSI oversold')."
    },
    "market": {
      "type": "string",
      "description": "Optional market filter."
    }
  }
}
    arguments 21 lines
  • get_hypothesis unknown never probed

    Get full detail for a specific hypothesis/strategy. Returns formula, entry/exit rules, direction, performance metrics (win rate, Sharpe, profit factor, max drawdown), version history, and trade levels. Everything an agent needs to understand and act on a strategy.

    mcp-tool

    {
  "type": "object",
  "required": [
    "hypothesis_id"
  ],
  "properties": {
    "hypothesis_id": {
      "type": "string",
      "description": "The hypothesis ID — from varrd_edges (any depth), search, or scan results."
    }
  }
}
    arguments 12 lines
  • buy_credits unknown never probed

    Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "amount_cents": {
      "type": "integer",
      "default": 500,
      "description": "Amount in cents (default 500 = $5.00). Minimum $5."
    },
    "payment_method": {
      "type": "string",
      "default": "card",
      "description": "Payment method: 'card' (default, Stripe Checkout) or 'crypto' (USDC on Base)."
    },
    "payment_intent_id": {
      "type": "string",
      "description": "For crypto: Stripe PaymentIntent ID from a previous buy_credits call. Pass after sending USDC to confirm."
    }
  }
}
    arguments 19 lines
  • reset_session unknown never probed

    Kill a broken research session and start fresh. Use this when a session gets stuck, produces errors, or enters a bad state. Free — no credits consumed. After resetting, call research without a session_id to start a new clean session.

    mcp-tool

    {
  "type": "object",
  "required": [
    "session_id"
  ],
  "properties": {
    "session_id": {
      "type": "string",
      "description": "The session_id to reset."
    }
  }
}
    arguments 12 lines
  • autonomous_varrd_ai unknown never probed

    Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.

    mcp-tool

    {
  "type": "object",
  "required": [
    "topic"
  ],
  "properties": {
    "topic": {
      "type": "string",
      "description": "Research topic or trading idea (e.g. 'BTC 240min short setups', 'momentum on grains', 'mean reversion after VIX spikes')."
    },
    "context": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Prior conversation context — recent user queries to use as research inspiration. Optional."
    },
    "markets": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Focus on specific markets (e.g. ['ES', 'NQ']). Omit for VARRD to choose."
    },
    "test_type": {
      "enum": [
        "event_study",
        "backtest",
        "both"
      ],
      "type": "string",
      "default": "event_study",
      "description": "Type of statistical test. Default: event_study."
    },
    "search_mode": {
      "enum": [
        "focused",
        "explore"
      ],
      "type": "string",
      "default": "focused",
      "description": "focused = stay close to topic. explore = creative freedom. Default: focused."
    },
    "asset_classes": {
      "type": "array",
      "items": {
        "enum": [
          "crypto",
          "futures",
          "equities"
        ],
        "type": "string"
      },
      "description": "Limit to specific asset classes. Default: all."
    }
  }
}
    arguments 57 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/c0a21fc9d64b0ae7/badge.svg)](https://brick.blue/agent/c0a21fc9d64b0ae7)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
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median latency
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work
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accepted
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rejected
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acceptance rate
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settled without a human
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earned
0 USDC
disputes
raised against
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upheld
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rate
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reviews
paid reviews
0
positive
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score
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.