ink.foresea/forecasting

up checked 2026-11-11T12:38:48.585Z

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Publisher-provided title

Foresea Forecasting

Publisher-provided description

Forecast future events and scan prediction-market edges.

Summary by lookupd

Lets an agent forecast event probabilities, scan and analyze prediction markets, pull market data, and place or preview orders on Kalshi…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http forecasting https://foresea.ink/mcp/

Codex, remote (streamable-http)

codex mcp add forecasting --url https://foresea.ink/mcp/

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "forecasting": {
      "url": "https://foresea.ink/mcp/"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (28 tools)

Publisher-provided text

• foresea_forecast Call this whenever the user asks about probability, likelihood, or whether something will happen. Good triggers: "Will X happen?", "What are the chances
• foresea_analyze_market Call this when the user mentions a specific prediction market by URL, slug, or ticker — or asks whether a particular market is over/underpriced. Good
• foresea_scan_markets Call this when the user wants to find mispriced or interesting markets, not evaluate a specific one. Good triggers: "What should I bet on?", "Find me
• foresea_batch_quotes Call this when the user wants current price/volume for several markets at once -- a watchlist, a portfolio, "check on these 5 markets" -- instead
• foresea_check_run Call this after foresea_analyze_market timed out or errored with a message naming a client_run_key -- the research it started may still be runni
• foresea_track_record Call this when the user asks how reliable or accurate Foresea is, or wants to know whether to trust a forecast. Good triggers: "How good is Foresea?",
• foresea_edge_board Call this when the user wants the current top trading opportunities with explicit trade directions and historical backing. Good triggers: "What are
• foresea_venue_data Read public historical markets/candles/trades, batch books/midpoints/spreads, fees, holders, open interest, event volume, milestones and weather. Omit
• foresea_exchange_status Call this to check Kalshi exchange operational status (trading active flag) and operational hours/schedule.
• foresea_orderbook Call this to fetch the live bids and asks orderbook depth for a Kalshi market ticker (e.g. 'KXFED-25JUN-H') or Polymarket YES-token ID.
• foresea_market_tags Call this to sample Polymarket's category vocabulary. Each entry is a label and the slug that identifies it. This is one page of at most 100 ta
• foresea_price_history Call this to retrieve historical price series or OHLC candlesticks for a market (e.g. Kalshi ticker or Polymarket token/slug).
• foresea_live_data Call this to fetch real-time sports game statistics, play-by-play data, and live event feeds from Kalshi. Provide event_ticker for event charts, or
• foresea_polymarket_meta Call this to fetch Polymarket metadata: event series listings, community discussion comments for a market, or sports league metadata (target: 'series',
• foresea_recent_trades Call this to fetch recent public executed trades / trade tape (prices, sizes, timestamps) on Kalshi or Polymarket.
• foresea_market_leaderboard Call this to fetch the top profitable prediction market trader leaderboard and rankings from Polymarket.
• foresea_debate_market Conduct an adversarial multi-agent debate (Bull vs. Bear vs. Chief Risk Judge) to cross-examine evidence and isolate blind spots on a forecasting question.
• foresea_optimize_portfolio Calculate optimal mathematical Fractional Kelly capital allocations and position sizes across live Grade A/B prediction market opportunities.
• foresea_feed_latest Fetch the real-time unified Foresea Alpha & Agent Feed, combining live prediction market edge signals, autonomous agent trades & theses, and leaderboard standin
• foresea_weather_radar Scan live temperature and weather prediction markets (Kalshi KXHIGHNY, KXHIGHCHI, KXHIGHMIA, KXHIGHAUS, KXHIGHDEN, KXHIGHPHIL, etc.) against neural weat
• foresea_weather_forecast Retrieve neural model weather forecasts (Google Maps Weather API / WeatherNext 3 / MetNet, ECMWF, GFS, GraphCast) with empirical station bias correction
• foresea_batch_forecast Submit up to 25 forecasting questions concurrently and receive structured predictions with confidence probabilities, bull/bear factor decomposition, key
• foresea_crypto_edge Scan real-time Kalshi cryptocurrency prediction markets (KXBTCD threshold contracts) scored against Black-Scholes zero-drift diffusion models and spot v
• foresea_webhook_subscribe Subscribe an external agent HTTP callback webhook to receive real-time dispatches for new forecasts and market edge opportunities. The response contains
• foresea_trade_account_status Check real prediction-market trading readiness, max order notional limits, and venue configuration statuses for Kalshi and Polymarket.
• foresea_preview_order Validate, normalize, and simulate guardrail checks for a real Kalshi or Polymarket order without submitting it to the exchange.
• foresea_place_order Submit a guarded real order to Kalshi or Polymarket. Live execution requires confirmation='PLACE REAL ORDER' and execute=True, and is protected by serve
• foresea_cancel_order Cancel an active open order on Kalshi or Polymarket using its venue order ID.

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 326 ms
• First indexed: 2026-11-01T09:02:46.339Z
• Last seen in registry: 2026-11-01T09:02:46.339Z
• Repository: https://github.com/pareelamre/analyzing-llm-rationale
• Website: https://foresea.ink

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