Server definition
- Hash
- sha256:ef4d184ee811790db36537f9ab6f4d01d05eb58e1810d83932aa4ed38a3c1a76
- What it is
- What a remote MCP server returned when asked what it offers: 28 tools
The blob, as servednamed by its sha256
{
"instructions": "Foresea gives calibrated probabilities for any resolvable future event, with evidence and the edge vs prediction markets — and it publishes a resolved track record so you can see how right it's been. Use forecast for any yes/no question, analyze_market to evaluate a specific Polymarket/Kalshi market, scan_markets / edge_board to find mispriced markets, and track_record to gauge how much to trust a forecast before acting.",
"tools": [
{
"description": "Call this when the user mentions a specific prediction market by URL, slug,\n or ticker — or asks whether a particular market is over/underpriced. Good\n triggers: \"Is this Polymarket fair?\", \"What's the edge on kalshi:XXXXX?\",\n \"Should I buy/sell this market?\", user pastes a Polymarket or Kalshi URL.\n Fetches the live price, gathers evidence, forecasts, computes model-vs-market\n edge, and returns a recommendation. Use foresea_forecast instead when there is\n no specific live market — just a general probability question.\n Example: platform=\"polymarket\", slug=\"fed-rate-cut-march-2026\"\n → {model_probability, market_probability, edge, stance, recommendation, thesis}.",
"inputSchema": {
"properties": {
"builtin_skills": {
"default": false,
"title": "Builtin Skills",
"type": "boolean"
},
"evidence_top_k": {
"default": 5,
"title": "Evidence Top K",
"type": "integer"
},
"ground_in_record": {
"default": false,
"title": "Ground In Record",
"type": "boolean"
},
"market_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Id"
},
"market_probability": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Probability"
},
"max_tool_steps": {
"default": 5,
"title": "Max Tool Steps",
"type": "integer"
},
"platform": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Platform"
},
"question": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Question"
},
"skills": {
"anyOf": [
{
"items": {
"additionalProperties": {
"type": "string"
},
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Skills"
},
"slug": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Slug"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
},
"tool_loop": {
"default": false,
"title": "Tool Loop",
"type": "boolean"
},
"variant": {
"default": "variant0_neutral_baseline",
"title": "Variant",
"type": "string"
}
},
"title": "foresea_analyze_marketArguments",
"type": "object"
},
"name": "foresea_analyze_market",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_analyze_marketOutput",
"type": "object"
}
},
{
"description": "Submit up to 25 forecasting questions concurrently and receive structured predictions\n with confidence probabilities, bull/bear factor decomposition, key catalysts, and evidence\n citations for each question.",
"inputSchema": {
"properties": {
"attach_evidence": {
"default": true,
"title": "Attach Evidence",
"type": "boolean"
},
"concurrency_limit": {
"default": 5,
"title": "Concurrency Limit",
"type": "integer"
},
"evidence_top_k": {
"default": 3,
"title": "Evidence Top K",
"type": "integer"
},
"items": {
"anyOf": [
{
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Items"
},
"questions": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Questions"
},
"variant": {
"default": "variant0_neutral_baseline",
"title": "Variant",
"type": "string"
}
},
"title": "foresea_batch_forecastArguments",
"type": "object"
},
"name": "foresea_batch_forecast",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_batch_forecastOutput",
"type": "object"
}
},
{
"description": "Call this when the user wants current price/volume for several markets\n at once -- a watchlist, a portfolio, \"check on these 5 markets\" -- instead\n of calling foresea_analyze_market once per market. Each ref is\n \"platform:ident\", e.g. \"kalshi:KXFED-25JUN-H\" or\n \"polymarket:some-market-slug\". Every quote carries fetched_at and\n age_seconds so you can judge freshness yourself -- both venues rate-limit\n hard, so don't assume a quote is live without checking age_seconds. One\n bad ref returns an error on that entry only; the rest of the batch still\n succeeds. Up to 50 refs per call.\n Example: refs=[\"kalshi:KXFED-25JUN-H\", \"polymarket:fed-cut-2026\"]\n → {quotes: [{platform, ident, probability, volume, fetched_at,\n age_seconds, error}], count, truncated}.",
"inputSchema": {
"properties": {
"refs": {
"items": {
"type": "string"
},
"title": "Refs",
"type": "array"
}
},
"required": [
"refs"
],
"title": "foresea_batch_quotesArguments",
"type": "object"
},
"name": "foresea_batch_quotes",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_batch_quotesOutput",
"type": "object"
}
},
{
"description": "Cancel an active open order on Kalshi or Polymarket using its venue order ID.",
"inputSchema": {
"properties": {
"order_id": {
"title": "Order Id",
"type": "string"
},
"platform": {
"default": "kalshi",
"title": "Platform",
"type": "string"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
}
},
"required": [
"order_id"
],
"title": "foresea_cancel_orderArguments",
"type": "object"
},
"name": "foresea_cancel_order",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_cancel_orderOutput",
"type": "object"
}
},
{
"description": "Call this after foresea_analyze_market timed out or errored with a\n message naming a client_run_key -- the research it started may still be\n running server-side. Returns {\"status\": \"running\", ...} if it's not done\n yet (call again in a bit), or the full report once it is. Do not call\n this speculatively; only use the client_run_key a prior\n foresea_analyze_market call actually gave you.\n Example: client_run_key=\"a1b2c3...\" → {status:\"running\", id:\"agent_run_...\"}\n or the full report once complete.",
"inputSchema": {
"properties": {
"client_run_key": {
"title": "Client Run Key",
"type": "string"
}
},
"required": [
"client_run_key"
],
"title": "foresea_check_runArguments",
"type": "object"
},
"name": "foresea_check_run",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_check_runOutput",
"type": "object"
}
},
{
"description": "Scan real-time Kalshi cryptocurrency prediction markets (KXBTCD threshold contracts)\n scored against Black-Scholes zero-drift diffusion models and spot volatility. Returns tradeable\n market mispricings, implied odds, calibration reliability, and realized paper equity curves.",
"inputSchema": {
"properties": {
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"min_edge": {
"default": 0,
"title": "Min Edge",
"type": "number"
}
},
"title": "foresea_crypto_edgeArguments",
"type": "object"
},
"name": "foresea_crypto_edge",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_crypto_edgeOutput",
"type": "object"
}
},
{
"description": "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.",
"inputSchema": {
"properties": {
"market_probability": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Probability"
},
"platform": {
"default": "Market",
"title": "Platform",
"type": "string"
},
"question": {
"title": "Question",
"type": "string"
},
"resolution_criteria": {
"default": "",
"title": "Resolution Criteria",
"type": "string"
}
},
"required": [
"question"
],
"title": "foresea_debate_marketArguments",
"type": "object"
},
"name": "foresea_debate_market",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_debate_marketOutput",
"type": "object"
}
},
{
"description": "Call this when the user wants the current top trading opportunities with\n explicit trade directions and historical backing. Good triggers: \"What are\n the best bets right now?\", \"Show me the edge board\", \"Which model is winning\n the paper-trading competition?\", \"What's the strongest edge today?\",\n \"Are these edges statistically significant?\". Returns open markets ranked by\n model-vs-market disagreement, each with Buy YES/NO direction, implied odds,\n whether the edge is historically significant, and a multi-model comparison.\n Supports cursor pagination, limit, min_edge threshold, and field masking.",
"inputSchema": {
"properties": {
"cursor": {
"default": 0,
"title": "Cursor",
"type": "integer"
},
"fields": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Fields"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"min_edge": {
"default": 0,
"title": "Min Edge",
"type": "number"
}
},
"title": "foresea_edge_boardArguments",
"type": "object"
},
"name": "foresea_edge_board",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_edge_boardOutput",
"type": "object"
}
},
{
"description": "Call this to check Kalshi exchange operational status (trading active flag)\n and operational hours/schedule.",
"inputSchema": {
"properties": {},
"title": "foresea_exchange_statusArguments",
"type": "object"
},
"name": "foresea_exchange_status",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_exchange_statusOutput",
"type": "object"
}
},
{
"description": "Fetch the real-time unified Foresea Alpha & Agent Feed, combining live prediction market edge signals, autonomous agent trades & theses, and leaderboard standings.",
"inputSchema": {
"properties": {
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"min_edge": {
"default": 0.05,
"title": "Min Edge",
"type": "number"
}
},
"title": "foresea_feed_latestArguments",
"type": "object"
},
"name": "foresea_feed_latest",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_feed_latestOutput",
"type": "object"
}
},
{
"description": "Call this whenever the user asks about probability, likelihood, or whether\n something will happen. Good triggers: \"Will X happen?\", \"What are the chances\n of Y?\", \"How likely is Z?\", \"What's the probability that…\", \"Do you think X\n will…\", \"Should I bet on…\". Returns a calibrated YES/NO probability (or\n numeric/date range) with written rationale and supporting news evidence.\n If you also have a market price (market_probability) or URL (market_url), pass\n it to get the model-vs-market edge — how mispriced the market is.\n Example: question=\"Will the Fed cut rates by March 2026?\", market_probability=0.4\n → {predicted_answer:\"No\", confidence:0.62, rationale, evidence_sources,\n market_analysis:{model_probability:0.54, edge:+0.14, stance:\"model_above_market\"}}\n Handles: binary YES/NO, multiple-choice, numeric ranges, and date questions.",
"inputSchema": {
"properties": {
"attach_evidence": {
"default": true,
"title": "Attach Evidence",
"type": "boolean"
},
"categories": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Categories"
},
"description": {
"default": "",
"title": "Description",
"type": "string"
},
"evidence_top_k": {
"default": 5,
"title": "Evidence Top K",
"type": "integer"
},
"market_outcome": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Outcome"
},
"market_platform": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Platform"
},
"market_probability": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Probability"
},
"market_url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Url"
},
"options": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Options"
},
"question": {
"title": "Question",
"type": "string"
},
"question_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Question Type"
},
"resolution_criteria": {
"default": "",
"title": "Resolution Criteria",
"type": "string"
},
"variant": {
"default": "variant0_neutral_baseline",
"title": "Variant",
"type": "string"
}
},
"required": [
"question"
],
"title": "foresea_forecastArguments",
"type": "object"
},
"name": "foresea_forecast",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_forecastOutput",
"type": "object"
}
},
{
"description": "Call this to fetch real-time sports game statistics, play-by-play data, and\n live event feeds from Kalshi. Provide event_ticker for event charts, or\n milestone_id with data_type=\"game_stats\" for play-by-play.",
"inputSchema": {
"properties": {
"data_type": {
"default": "",
"title": "Data Type",
"type": "string"
},
"event_ticker": {
"default": "",
"title": "Event Ticker",
"type": "string"
},
"milestone_id": {
"default": "",
"title": "Milestone Id",
"type": "string"
}
},
"title": "foresea_live_dataArguments",
"type": "object"
},
"name": "foresea_live_data",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_live_dataOutput",
"type": "object"
}
},
{
"description": "Call this to fetch the top profitable prediction market trader leaderboard and rankings from Polymarket.",
"inputSchema": {
"properties": {
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
}
},
"title": "foresea_market_leaderboardArguments",
"type": "object"
},
"name": "foresea_market_leaderboard",
"outputSchema": {
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "foresea_market_leaderboardOutput",
"type": "object"
}
},
{
"description": "Call this to sample Polymarket's category vocabulary. Each entry is a\n label and the slug that identifies it.\n\n This is one page of at most 100 tags, not the full taxonomy: Polymarket\n has tens of thousands, and the endpoint returns a fixed slice that is\n ordered neither alphabetically nor by market activity. So absence here\n does not mean a tag is unused, presence does not mean it is active, and\n some entries are one-off or misspelled. Treat it as a vocabulary sample,\n not a classification the markets are organised by.",
"inputSchema": {
"properties": {},
"title": "foresea_market_tagsArguments",
"type": "object"
},
"name": "foresea_market_tags",
"outputSchema": {
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "foresea_market_tagsOutput",
"type": "object"
}
},
{
"description": "Calculate optimal mathematical Fractional Kelly capital allocations and position sizes across live Grade A/B prediction market opportunities.",
"inputSchema": {
"properties": {
"bankroll_usd": {
"default": 1000,
"title": "Bankroll Usd",
"type": "number"
},
"kelly_fraction": {
"default": 0.25,
"title": "Kelly Fraction",
"type": "number"
},
"min_edge": {
"default": 0.05,
"title": "Min Edge",
"type": "number"
}
},
"title": "foresea_optimize_portfolioArguments",
"type": "object"
},
"name": "foresea_optimize_portfolio",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_optimize_portfolioOutput",
"type": "object"
}
},
{
"description": "Call this to fetch the live bids and asks orderbook depth for a Kalshi market\n ticker (e.g. 'KXFED-25JUN-H') or Polymarket YES-token ID.",
"inputSchema": {
"properties": {
"platform": {
"default": "",
"title": "Platform",
"type": "string"
},
"ticker_or_token": {
"title": "Ticker Or Token",
"type": "string"
}
},
"required": [
"ticker_or_token"
],
"title": "foresea_orderbookArguments",
"type": "object"
},
"name": "foresea_orderbook",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_orderbookOutput",
"type": "object"
}
},
{
"description": "Submit a guarded real order to Kalshi or Polymarket. Live execution requires\n confirmation='PLACE REAL ORDER' and execute=True, and is protected by server\n notional ceilings and exchange guardrails.",
"inputSchema": {
"properties": {
"action": {
"title": "Action",
"type": "string"
},
"client_order_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Client Order Id"
},
"confirmation": {
"title": "Confirmation",
"type": "string"
},
"execute": {
"default": true,
"title": "Execute",
"type": "boolean"
},
"order_type": {
"default": "limit",
"title": "Order Type",
"type": "string"
},
"outcome": {
"title": "Outcome",
"type": "string"
},
"platform": {
"title": "Platform",
"type": "string"
},
"post_only": {
"default": false,
"title": "Post Only",
"type": "boolean"
},
"price": {
"title": "Price",
"type": "number"
},
"quantity": {
"title": "Quantity",
"type": "number"
},
"slug": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Slug"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
},
"time_in_force": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Time In Force"
},
"token_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Token Id"
}
},
"required": [
"platform",
"action",
"outcome",
"price",
"quantity",
"confirmation"
],
"title": "foresea_place_orderArguments",
"type": "object"
},
"name": "foresea_place_order",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_place_orderOutput",
"type": "object"
}
},
{
"description": "Call this to fetch Polymarket metadata: event series listings, community\n discussion comments for a market, or sports league metadata (target: 'series',\n 'comments', 'sports', 'teams').\n\n 'series' lists the series and how many events each holds, not the events\n themselves -- fetch a series by slug for those. 'sports' lists every league\n with the ids that link it to other tools, not league artwork or homepages.\n 'comments' gives the comment, its author address and its reaction count,\n not the commenters' profiles or individual reactions.",
"inputSchema": {
"properties": {
"market_id": {
"default": "",
"title": "Market Id",
"type": "string"
},
"target": {
"default": "series",
"title": "Target",
"type": "string"
}
},
"title": "foresea_polymarket_metaArguments",
"type": "object"
},
"name": "foresea_polymarket_meta",
"outputSchema": {
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "foresea_polymarket_metaOutput",
"type": "object"
}
},
{
"description": "Validate, normalize, and simulate guardrail checks for a real Kalshi or\n Polymarket order without submitting it to the exchange.",
"inputSchema": {
"properties": {
"action": {
"title": "Action",
"type": "string"
},
"order_type": {
"default": "limit",
"title": "Order Type",
"type": "string"
},
"outcome": {
"title": "Outcome",
"type": "string"
},
"platform": {
"title": "Platform",
"type": "string"
},
"post_only": {
"default": false,
"title": "Post Only",
"type": "boolean"
},
"price": {
"title": "Price",
"type": "number"
},
"quantity": {
"title": "Quantity",
"type": "number"
},
"slug": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Slug"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
},
"time_in_force": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Time In Force"
},
"token_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Token Id"
}
},
"required": [
"platform",
"action",
"outcome",
"price",
"quantity"
],
"title": "foresea_preview_orderArguments",
"type": "object"
},
"name": "foresea_preview_order",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_preview_orderOutput",
"type": "object"
}
},
{
"description": "Call this to retrieve historical price series or OHLC candlesticks for a\n market (e.g. Kalshi ticker or Polymarket token/slug).",
"inputSchema": {
"properties": {
"series_ticker": {
"default": "",
"title": "Series Ticker",
"type": "string"
},
"ticker_or_market": {
"title": "Ticker Or Market",
"type": "string"
}
},
"required": [
"ticker_or_market"
],
"title": "foresea_price_historyArguments",
"type": "object"
},
"name": "foresea_price_history",
"outputSchema": {
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "foresea_price_historyOutput",
"type": "object"
}
},
{
"description": "Call this to fetch recent public executed trades / trade tape (prices, sizes, timestamps) on Kalshi or Polymarket.",
"inputSchema": {
"properties": {
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"platform": {
"default": "kalshi",
"title": "Platform",
"type": "string"
},
"ticker_or_token": {
"default": "",
"title": "Ticker Or Token",
"type": "string"
}
},
"title": "foresea_recent_tradesArguments",
"type": "object"
},
"name": "foresea_recent_trades",
"outputSchema": {
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "foresea_recent_tradesOutput",
"type": "object"
}
},
{
"description": "Call this when the user wants to find mispriced or interesting markets, not\n evaluate a specific one. Good triggers: \"What should I bet on?\", \"Find me\n trading opportunities\", \"Which markets are mispriced right now?\", \"What's\n Foresea's best edge today?\", \"Scan Polymarket for opportunities\".\n Returns markets ranked by model-vs-market disagreement, each with model\n probability, market price, and edge. For a specific market, use\n foresea_analyze_market instead.\n Example: platform=\"kalshi\", min_edge=0.1\n → [{question, market_probability, model_probability, edge, market_url}].",
"inputSchema": {
"properties": {
"evidence_top_k": {
"default": 3,
"title": "Evidence Top K",
"type": "integer"
},
"limit": {
"default": 4,
"title": "Limit",
"type": "integer"
},
"min_edge": {
"default": 0.1,
"title": "Min Edge",
"type": "number"
},
"platform": {
"default": "polymarket",
"title": "Platform",
"type": "string"
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
}
},
"title": "foresea_scan_marketsArguments",
"type": "object"
},
"name": "foresea_scan_markets",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_scan_marketsOutput",
"type": "object"
}
},
{
"description": "Call this when the user asks how reliable or accurate Foresea is, or wants\n to know whether to trust a forecast. Good triggers: \"How good is Foresea?\",\n \"What's the track record?\", \"Has it been right before?\", \"Is it calibrated?\",\n \"What's the Brier score?\". Returns accuracy, Brier score, calibration (ECE),\n and skill-vs-market broken down by time horizon. Pass optional fields list\n (e.g. ['brier_score', 'accuracy', 'n_snapshots_resolved']) to reduce token usage.",
"inputSchema": {
"properties": {
"fields": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Fields"
}
},
"title": "foresea_track_recordArguments",
"type": "object"
},
"name": "foresea_track_record",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_track_recordOutput",
"type": "object"
}
},
{
"description": "Check real prediction-market trading readiness, max order notional limits,\n and venue configuration statuses for Kalshi and Polymarket.",
"inputSchema": {
"properties": {},
"title": "foresea_trade_account_statusArguments",
"type": "object"
},
"name": "foresea_trade_account_status",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_trade_account_statusOutput",
"type": "object"
}
},
{
"description": "Read public historical markets/candles/trades, batch books/midpoints/spreads,\n fees, holders, open interest, event volume, milestones and weather. Omit\n operation to discover operation names and schemas. No account or write access.",
"inputSchema": {
"properties": {
"body": {
"anyOf": [
{
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Body"
},
"operation": {
"default": "",
"title": "Operation",
"type": "string"
},
"parameters": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Parameters"
},
"platform": {
"default": "",
"title": "Platform",
"type": "string"
}
},
"title": "foresea_venue_dataArguments",
"type": "object"
},
"name": "foresea_venue_data",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_venue_dataOutput",
"type": "object"
}
},
{
"description": "Retrieve neural model weather forecasts (Google Maps Weather API / WeatherNext 3 /\n MetNet, ECMWF, GFS, GraphCast) with empirical station bias correction (e.g. KNYC\n Central Park, KMDW Chicago Midway, KDEN Denver) and strike bracket probability\n calculations for weather prediction markets.",
"inputSchema": {
"properties": {
"station_or_query": {
"title": "Station Or Query",
"type": "string"
},
"target_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Target Date"
}
},
"required": [
"station_or_query"
],
"title": "foresea_weather_forecastArguments",
"type": "object"
},
"name": "foresea_weather_forecast",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_weather_forecastOutput",
"type": "object"
}
},
{
"description": "Scan live temperature and weather prediction markets (Kalshi KXHIGHNY, KXHIGHCHI,\n KXHIGHMIA, KXHIGHAUS, KXHIGHDEN, KXHIGHPHIL, etc.) against neural weather models\n (Google DeepMind WeatherNext 3 / MetNet) and high-resolution multi-model ensembles,\n calibrated with station microclimate bias profiles. Returns ranked mispricings,\n strike bracket probabilities, and model-vs-market edge.",
"inputSchema": {
"properties": {
"target_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Target Date"
}
},
"title": "foresea_weather_radarArguments",
"type": "object"
},
"name": "foresea_weather_radar",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_weather_radarOutput",
"type": "object"
}
},
{
"description": "Subscribe an external agent HTTP callback webhook to receive real-time dispatches\n for new forecasts and market edge opportunities. The response contains an HMAC secret\n (X-Foresea-Signature) for validating incoming payloads.",
"inputSchema": {
"properties": {
"events": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Events"
},
"min_edge": {
"default": 0.05,
"title": "Min Edge",
"type": "number"
},
"url": {
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "foresea_webhook_subscribeArguments",
"type": "object"
},
"name": "foresea_webhook_subscribe",
"outputSchema": {
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "foresea_webhook_subscribeOutput",
"type": "object"
}
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:ef4d184ee811790db36537f9ab6f4d01d05eb58e1810d83932aa4ed38a3c1a76 | sha256sum