Combien d'outils expose ink.foresea/forecasting ?

ink.foresea/forecasting expose 28 outil(s). Le coût de contexte pour les charger tous est d'environ 6816 tokens (coût unique au chargement, pas par appel).

accueil / serveurs / Finance & Paiement / ink.foresea/forecasting

ink.foresea/forecasting

serveur MCP (Model Context Protocol) · Foresea 1.30.0

▸ Finance & Paiement

[ Non encore testé ]

Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

streamable-httpType / transport

directAccès

~6816 tokensCoût de contexte

28Outils

Est-ce que ink.foresea/forecasting est sûr ?

Au dernier audit MCP Hub, le serveur MCP « ink.foresea/forecasting » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 28 outils

foresea_analyze_market≈ 592 tokens
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 triggers: "Is this Polymarket fair?", "What's the edge on kalshi:XXXXX?", "Should I buy/sell this market?", user pastes a Polymarket or Kalshi URL. Fetches the live price, gathers evidence, forecasts, computes model-vs-market edge, and returns a recommendation. Use foresea_forecast instead when there is no specific live market — just a general probability question. Example: platform="polymarket", slug="fed-rate-cut-march-2026" → {model_probability, market_probability, edge, stance, recommendation, thesis}.
Paramètres, retour & exemple (13)
Paramètres
- slug · ? · optionnel
- skills · ? · optionnel
- ticker · ? · optionnel
- variant · string · optionnel
- platform · ? · optionnel
- question · ? · optionnel
- market_id · ? · optionnel
- tool_loop · boolean · optionnel
- builtin_skills · boolean · optionnel
- evidence_top_k · integer · optionnel
- max_tool_steps · integer · optionnel
- ground_in_record · boolean · optionnel
- market_probability · ? · optionnel
Exemple d'appel
```
{"name": "foresea_analyze_market", "arguments": {"slug": "texte", "skills": "texte", "ticker": "texte", "variant": "texte", "platform": "texte", "question": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_batch_forecast≈ 298 tokens
Submit up to 25 forecasting questions concurrently and receive structured predictions with confidence probabilities, bull/bear factor decomposition, key catalysts, and evidence citations for each question.
Paramètres, retour & exemple (6)
Paramètres
- items · ? · optionnel
- variant · string · optionnel
- questions · ? · optionnel
- evidence_top_k · integer · optionnel
- attach_evidence · boolean · optionnel
- concurrency_limit · integer · optionnel
Exemple d'appel
```
{"name": "foresea_batch_forecast", "arguments": {"items": "texte", "variant": "texte", "questions": "texte", "evidence_top_k": 1, "attach_evidence": true, "concurrency_limit": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_batch_quotes≈ 322 tokens
Call this when the user wants current price/volume for several markets at once -- a watchlist, a portfolio, "check on these 5 markets" -- instead of calling foresea_analyze_market once per market. Each ref is "platform:ident", e.g. "kalshi:KXFED-25JUN-H" or "polymarket:some-market-slug". Every quote carries fetched_at and age_seconds so you can judge freshness yourself -- both venues rate-limit hard, so don't assume a quote is live without checking age_seconds. One bad ref returns an error on that entry only; the rest of the batch still succeeds. Up to 50 refs per call. Example: refs=["kalshi:KXFED-25JUN-H", "polymarket:fed-cut-2026"] → {quotes: [{platform, ident, probability, volume, fetched_at, age_seconds, error}], count, truncated}.
Paramètres, retour & exemple (1)
Paramètres
- refs · array · requis
Exemple d'appel
```
{"name": "foresea_batch_quotes", "arguments": {"refs": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_cancel_order≈ 166 tokens
Cancel an active open order on Kalshi or Polymarket using its venue order ID.
Paramètres, retour & exemple (3)
Paramètres
- ticker · ? · optionnel
- order_id · string · requis
- platform · string · optionnel
Exemple d'appel
```
{"name": "foresea_cancel_order", "arguments": {"order_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_check_run≈ 248 tokens
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 running server-side. Returns {"status": "running", ...} if it's not done yet (call again in a bit), or the full report once it is. Do not call this speculatively; only use the client_run_key a prior foresea_analyze_market call actually gave you. Example: client_run_key="a1b2c3..." → {status:"running", id:"agent_run_..."} or the full report once complete.
Paramètres, retour & exemple (1)
Paramètres
- client_run_key · string · requis
Exemple d'appel
```
{"name": "foresea_check_run", "arguments": {"client_run_key": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_crypto_edge≈ 190 tokens
Scan real-time Kalshi cryptocurrency prediction markets (KXBTCD threshold contracts) scored against Black-Scholes zero-drift diffusion models and spot volatility. Returns tradeable market mispricings, implied odds, calibration reliability, and realized paper equity curves.
Paramètres, retour & exemple (2)
Paramètres
- limit · integer · optionnel
- min_edge · number · optionnel
Exemple d'appel
```
{"name": "foresea_crypto_edge", "arguments": {"limit": 1, "min_edge": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_debate_market≈ 215 tokens
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.
Paramètres, retour & exemple (4)
Paramètres
- platform · string · optionnel
- question · string · requis
- market_probability · ? · optionnel
- resolution_criteria · string · optionnel
Exemple d'appel
```
{"name": "foresea_debate_market", "arguments": {"question": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_edge_board≈ 330 tokens
Call this when the user wants the current top trading opportunities with explicit trade directions and historical backing. Good triggers: "What are the best bets right now?", "Show me the edge board", "Which model is winning the paper-trading competition?", "What's the strongest edge today?", "Are these edges statistically significant?". Returns open markets ranked by model-vs-market disagreement, each with Buy YES/NO direction, implied odds, whether the edge is historically significant, and a multi-model comparison. Supports cursor pagination, limit, min_edge threshold, and field masking.
Paramètres, retour & exemple (4)
Paramètres
- limit · integer · optionnel
- cursor · integer · optionnel
- fields · ? · optionnel
- min_edge · number · optionnel
Exemple d'appel
```
{"name": "foresea_edge_board", "arguments": {"limit": 1, "cursor": 1, "fields": "texte", "min_edge": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_exchange_status≈ 116 tokens
Call this to check Kalshi exchange operational status (trading active flag) and operational hours/schedule.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "foresea_exchange_status", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_feed_latest≈ 158 tokens
Fetch the real-time unified Foresea Alpha & Agent Feed, combining live prediction market edge signals, autonomous agent trades & theses, and leaderboard standings.
Paramètres, retour & exemple (2)
Paramètres
- limit · integer · optionnel
- min_edge · number · optionnel
Exemple d'appel
```
{"name": "foresea_feed_latest", "arguments": {"limit": 1, "min_edge": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_forecast≈ 648 tokens
Call this whenever the user asks about probability, likelihood, or whether something will happen. Good triggers: "Will X happen?", "What are the chances of Y?", "How likely is Z?", "What's the probability that…", "Do you think X will…", "Should I bet on…". Returns a calibrated YES/NO probability (or numeric/date range) with written rationale and supporting news evidence. If you also have a market price (market_probability) or URL (market_url), pass it to get the model-vs-market edge — how mispriced the market is. Example: question="Will the Fed cut rates by March 2026?", market_probability=0.4 → {predicted_answer:"No", confidence:0.62, rationale, evidence_sources, market_analysis:{model_probability:0.54, edge:+0.14, stance:"model_above_market"}} Handles: binary YES/NO, multiple-choice, numeric ranges, and date questions.
Paramètres, retour & exemple (13)
Paramètres
- options · ? · optionnel
- variant · string · optionnel
- question · string · requis
- categories · ? · optionnel
- market_url · ? · optionnel
- description · string · optionnel
- question_type · ? · optionnel
- evidence_top_k · integer · optionnel
- market_outcome · ? · optionnel
- attach_evidence · boolean · optionnel
- market_platform · ? · optionnel
- market_probability · ? · optionnel
- resolution_criteria · string · optionnel
Exemple d'appel
```
{"name": "foresea_forecast", "arguments": {"question": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_live_data≈ 194 tokens
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 milestone_id with data_type="game_stats" for play-by-play.
Paramètres, retour & exemple (3)
Paramètres
- data_type · string · optionnel
- event_ticker · string · optionnel
- milestone_id · string · optionnel
Exemple d'appel
```
{"name": "foresea_live_data", "arguments": {"data_type": "texte", "event_ticker": "texte", "milestone_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_market_leaderboard≈ 138 tokens
Call this to fetch the top profitable prediction market trader leaderboard and rankings from Polymarket.
Paramètres, retour & exemple (1)
Paramètres
- limit · integer · optionnel
Exemple d'appel
```
{"name": "foresea_market_leaderboard", "arguments": {"limit": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
```
foresea_market_tags≈ 237 tokens
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 tags, not the full taxonomy: Polymarket has tens of thousands, and the endpoint returns a fixed slice that is ordered neither alphabetically nor by market activity. So absence here does not mean a tag is unused, presence does not mean it is active, and some entries are one-off or misspelled. Treat it as a vocabulary sample, not a classification the markets are organised by.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "foresea_market_tags", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
```
foresea_optimize_portfolio≈ 182 tokens
Calculate optimal mathematical Fractional Kelly capital allocations and position sizes across live Grade A/B prediction market opportunities.
Paramètres, retour & exemple (3)
Paramètres
- min_edge · number · optionnel
- bankroll_usd · number · optionnel
- kelly_fraction · number · optionnel
Exemple d'appel
```
{"name": "foresea_optimize_portfolio", "arguments": {"min_edge": 1, "bankroll_usd": 1, "kelly_fraction": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_orderbook≈ 160 tokens
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.
Paramètres, retour & exemple (2)
Paramètres
- platform · string · optionnel
- ticker_or_token · string · requis
Exemple d'appel
```
{"name": "foresea_orderbook", "arguments": {"ticker_or_token": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_place_order≈ 421 tokens
Submit a guarded real order to Kalshi or Polymarket. Live execution requires confirmation='PLACE REAL ORDER' and execute=True, and is protected by server notional ceilings and exchange guardrails.
Paramètres, retour & exemple (14)
Paramètres
- slug · ? · optionnel
- price · number · requis
- action · string · requis
- ticker · ? · optionnel
- execute · boolean · optionnel
- outcome · string · requis
- platform · string · requis
- quantity · number · requis
- token_id · ? · optionnel
- post_only · boolean · optionnel
- order_type · string · optionnel
- confirmation · string · requis
- time_in_force · ? · optionnel
- client_order_id · ? · optionnel
Exemple d'appel
```
{"name": "foresea_place_order", "arguments": {"price": 1, "action": "texte", "outcome": "texte", "platform": "texte", "quantity": 1, "confirmation": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_polymarket_meta≈ 278 tokens
Call this to fetch Polymarket metadata: event series listings, community discussion comments for a market, or sports league metadata (target: 'series', 'comments', 'sports', 'teams'). 'series' lists the series and how many events each holds, not the events themselves -- fetch a series by slug for those. 'sports' lists every league with the ids that link it to other tools, not league artwork or homepages. 'comments' gives the comment, its author address and its reaction count, not the commenters' profiles or individual reactions.
Paramètres, retour & exemple (2)
Paramètres
- target · string · optionnel
- market_id · string · optionnel
Exemple d'appel
```
{"name": "foresea_polymarket_meta", "arguments": {"target": "texte", "market_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
```
foresea_preview_order≈ 338 tokens
Validate, normalize, and simulate guardrail checks for a real Kalshi or Polymarket order without submitting it to the exchange.
Paramètres, retour & exemple (11)
Paramètres
- slug · ? · optionnel
- price · number · requis
- action · string · requis
- ticker · ? · optionnel
- outcome · string · requis
- platform · string · requis
- quantity · number · requis
- token_id · ? · optionnel
- post_only · boolean · optionnel
- order_type · string · optionnel
- time_in_force · ? · optionnel
Exemple d'appel
```
{"name": "foresea_preview_order", "arguments": {"price": 1, "action": "texte", "outcome": "texte", "platform": "texte", "quantity": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_price_history≈ 171 tokens
Call this to retrieve historical price series or OHLC candlesticks for a market (e.g. Kalshi ticker or Polymarket token/slug).
Paramètres, retour & exemple (2)
Paramètres
- series_ticker · string · optionnel
- ticker_or_market · string · requis
Exemple d'appel
```
{"name": "foresea_price_history", "arguments": {"ticker_or_market": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
```
foresea_recent_trades≈ 176 tokens
Call this to fetch recent public executed trades / trade tape (prices, sizes, timestamps) on Kalshi or Polymarket.
Paramètres, retour & exemple (3)
Paramètres
- limit · integer · optionnel
- platform · string · optionnel
- ticker_or_token · string · optionnel
Exemple d'appel
```
{"name": "foresea_recent_trades", "arguments": {"limit": 1, "platform": "texte", "ticker_or_token": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
```
foresea_scan_markets≈ 344 tokens
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 trading opportunities", "Which markets are mispriced right now?", "What's Foresea's best edge today?", "Scan Polymarket for opportunities". Returns markets ranked by model-vs-market disagreement, each with model probability, market price, and edge. For a specific market, use foresea_analyze_market instead. Example: platform="kalshi", min_edge=0.1 → [{question, market_probability, model_probability, edge, market_url}].
Paramètres, retour & exemple (5)
Paramètres
- limit · integer · optionnel
- query · ? · optionnel
- min_edge · number · optionnel
- platform · string · optionnel
- evidence_top_k · integer · optionnel
Exemple d'appel
```
{"name": "foresea_scan_markets", "arguments": {"limit": 1, "query": "texte", "min_edge": 1, "platform": "texte", "evidence_top_k": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_track_record≈ 245 tokens
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?", "What's the track record?", "Has it been right before?", "Is it calibrated?", "What's the Brier score?". Returns accuracy, Brier score, calibration (ECE), and skill-vs-market broken down by time horizon. Pass optional fields list (e.g. ['brier_score', 'accuracy', 'n_snapshots_resolved']) to reduce token usage.
Paramètres, retour & exemple (1)
Paramètres
- fields · ? · optionnel
Exemple d'appel
```
{"name": "foresea_track_record", "arguments": {"fields": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_trade_account_status≈ 127 tokens
Check real prediction-market trading readiness, max order notional limits, and venue configuration statuses for Kalshi and Polymarket.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "foresea_trade_account_status", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_venue_data≈ 251 tokens
Read public historical markets/candles/trades, batch books/midpoints/spreads, fees, holders, open interest, event volume, milestones and weather. Omit operation to discover operation names and schemas. No account or write access.
Paramètres, retour & exemple (4)
Paramètres
- body · ? · optionnel
- platform · string · optionnel
- operation · string · optionnel
- parameters · ? · optionnel
Exemple d'appel
```
{"name": "foresea_venue_data", "arguments": {"body": "texte", "platform": "texte", "operation": "texte", "parameters": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_weather_forecast≈ 218 tokens
Retrieve neural model weather forecasts (Google Maps Weather API / WeatherNext 3 / MetNet, ECMWF, GFS, GraphCast) with empirical station bias correction (e.g. KNYC Central Park, KMDW Chicago Midway, KDEN Denver) and strike bracket probability calculations for weather prediction markets.
Paramètres, retour & exemple (2)
Paramètres
- target_date · ? · optionnel
- station_or_query · string · requis
Exemple d'appel
```
{"name": "foresea_weather_forecast", "arguments": {"station_or_query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_weather_radar≈ 216 tokens
Scan live temperature and weather prediction markets (Kalshi KXHIGHNY, KXHIGHCHI, KXHIGHMIA, KXHIGHAUS, KXHIGHDEN, KXHIGHPHIL, etc.) against neural weather models (Google DeepMind WeatherNext 3 / MetNet) and high-resolution multi-model ensembles, calibrated with station microclimate bias profiles. Returns ranked mispricings, strike bracket probabilities, and model-vs-market edge.
Paramètres, retour & exemple (1)
Paramètres
- target_date · ? · optionnel
Exemple d'appel
```
{"name": "foresea_weather_radar", "arguments": {"target_date": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```
foresea_webhook_subscribe≈ 213 tokens
Subscribe an external agent HTTP callback webhook to receive real-time dispatches for new forecasts and market edge opportunities. The response contains an HMAC secret (X-Foresea-Signature) for validating incoming payloads.
Paramètres, retour & exemple (3)
Paramètres
- url · string · requis
- events · ? · optionnel
- min_edge · number · optionnel
Exemple d'appel
```
{"name": "foresea_webhook_subscribe", "arguments": {"url": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}}}
```

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Source

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