Skipseek

com.skipseek由 skipseek.com 發布官方發布者v1.0.3更新於 Oct 24, 2026

Polymarket, Manifold, Metaculus compared: one fair probability per question. No API key needed.

已驗證Streamable HTTP可網頁執行金融資料與分析

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓助理取得跨平台預測市場資料:公允機率、平台價差、異動、歷史與研究簡報。

可以做什麼
  • 瀏覽已發布的預測市場,含共識公允機率、24 小時變動、跨市場價差與信賴區間
  • 檢視單一市場的完整資訊:各平台報價、合約吻合度及相對公允價值的帶號價差
  • 依跨平台分歧程度或 24 小時機率變動幅度排序市場
  • 讀取單一市場的共識時間序列,並列出參與共識的平台
  • 取得每個市場的書面研究簡報,含支持與反對理由、催化因素、結算風險與來源
  • 以 API 金鑰對應的公開身分記錄預測並自動評分,查看預測者的公開戰績
適用情境
適合讓助理比較不同平台對同一標準化問題的定價、說明機率為何變動,或撰寫並評分機率預測。唯讀瀏覽不需金鑰,可先試用再決定是否付費。
執行需求
遠端 streamable HTTP 端點,無需本機安裝。可選的 Authorization 標頭攜帶 Bearer API 金鑰以提升額度;未提供時使用共用示範配額,結果最多 5 列且無法使用研究功能。金鑰需從服務商定價頁面取得。
安裝前請注意
Authorization 標頭攜帶密鑰,請避免寫入日誌或共用設定。create_forecast 是唯一會寫入的工具:它會以金鑰對應的公開預測身分發布機率預測,之後會被評分,因此可公開追溯。市場資料與研究內容來自第三方平台及服務商。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Skipseek,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.skipseek%2Fskipseek/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "skipseek": {
      "type": "http",
      "url": "https://skipseek.com/mcp"
    }
  }
}

工具

9

list_markets

List prediction markets

Browse the SkipSeek board: published prediction markets with the SkipSeek Fair Probability (a cross-venue consensus of every venue trading the same standardized question), 24h movement in percentage points, cross-market spread, confidence band, and which venues price each market. START HERE — the `slug` values it returns are what every other market tool needs. USE WHEN the question is "what is the market saying about X", to discover slugs, or to filter by category/venue/status. USE SOMETHING ELSE WHEN you already hold a slug (get_market_probabilities for the current per-venue picture, get_market_history for the time series), when you want the widest cross-venue disagreement (list_discrepancies) or the biggest recent moves (list_movers), or when the question is a single sports fixture and you only need its fair price — that is SkipOdds at https://skipodds.com/mcp. Do NOT route a sports question away when the user wants to know whether the EXCHANGE disagrees with the BOOKMAKERS on that fixture: SkipSeek carries de-vigged sportsbook consensus as one venue alongside the prediction markets, so that comparison exists only here (list_discrepancies). Read-only: nothing is written and no bet is placed. Returns an empty `markets` array, not an error, when no published market matches the filters.

輸入參數sortlimitquerystatuscategoryplatform

get_market_probabilities

Get one market, venue by venue

The full current picture for ONE market: the SkipSeek Fair Probability, every venue pricing it with that venue's own price snapshot and how closely its contract matches the standardized question, each venue's signed Probability Gap against fair value (labelled Market Premium, Market Discount, In Line or Cross-Market Discrepancy), and the latest confidence score and band. USE WHEN you have a slug and need where the price stands now, or to answer "which venue is out of line and by how much". USE SOMETHING ELSE WHEN you do not have a slug yet (list_markets), when you need how the price MOVED over time (get_market_history), or when you want the written analysis and its cited sources (get_market_research). Read-only. Probabilities are 0–1; gaps are in percentage points. An unknown slug returns a plain not-found message, not an error.

輸入參數market必填

list_discrepancies

Find cross-venue disagreement

Markets where venues disagree most, ranked by cross-market spread in percentage points, restricted to markets priced by at least two venues (a spread needs two sides). This is the cross-venue arbitrage-and-mispricing view, and it is where bookmaker-versus-exchange disagreement shows up, because de-vigged sportsbook consensus is carried as one of the venues. USE WHEN asked where the market is inconsistent, which venue is mispricing something, or for the widest gaps right now. USE SOMETHING ELSE WHEN you care about change over time rather than disagreement at a moment (list_movers, get_market_history), or when you need one named market (get_market_probabilities). Read-only, and explicitly not trading advice. Returns an empty `discrepancies` array, not an error, when nothing currently trades on two or more venues.

輸入參數limit

list_movers

Biggest 24-hour movers

Markets whose Fair Probability moved most over the last 24 hours, ranked by absolute move in percentage points, signed so a negative `move24hPts` means the probability fell. Only markets with a comparable snapshot from ~24h ago appear. USE WHEN asked what changed, what is trending, or which forecasts repriced today. USE SOMETHING ELSE WHEN you want the full path of one market rather than a single 24h delta (get_market_history), or disagreement between venues rather than change over time (list_discrepancies). Read-only. Returns an empty `movers` array, not an error, when nothing has a 24h comparison yet — that is normal shortly after a market is first ingested.

輸入參數limit

get_market_history

Market probability history

Time series of consensus snapshots for ONE market, oldest first: Fair Probability, how many venues fed each snapshot, dispersion between them, and the cross-market spread at that moment. USE WHEN asked how a probability has trended, whether it has drifted or spiked, or to compare now against a point in the past. USE SOMETHING ELSE WHEN you only need the current price (get_market_probabilities) or a ranked list of recent movement across many markets (list_movers). Read-only. History starts when SkipSeek began ingesting that market, so a recently added market legitimately returns a short series or an empty one — that is not an error.

輸入參數limitmarket必填

list_platforms

List covered venues

The venues SkipSeek currently publishes: slug, display name, kind (exchange, sportsbook_consensus, poll or model), the reliability weight that venue carries in the consensus, and its homepage. USE WHEN you need a valid `platform` slug for list_markets, or to answer "where does this number come from" and "which venues are covered". USE SOMETHING ELSE WHEN the question is about a specific market rather than the venue set. Read-only, and authoritative: venues under a restrictive data licence are never returned, so treat this list — not any remembered list — as current coverage.

無需輸入參數。

get_market_research

Research briefing for a market

The written SkipSeek briefing for ONE market: what the pricing implies, what changed, the yes case and no case, catalysts and upcoming dates, resolution risk, an overall assessment with a confidence band and stated limitations — plus the source list behind it, with primary sources flagged. USE WHEN you need reasoning and citations rather than numbers, e.g. "why is this priced at 34%" or "what would move this". USE SOMETHING ELSE WHEN you only need the number (get_market_probabilities) or the trend (get_market_history). Read-only. Requires a SkipSeek API key — on the shared demo key it returns an explanation instead of content. Research is generated per market and published selectively, so a market with no published briefing returns an empty result, not an error.

輸入參數market必填

create_forecast

Submit a forecast (writes a permanent public record)

Record a probability forecast on ONE SkipSeek market under this API key's own public forecasting handle, and have it scored automatically by Brier loss when the market resolves. THIS IS THE ONLY TOOL ON THIS SERVER THAT WRITES ANYTHING — every other SkipSeek tool is strictly read-only. What it writes is permanent, public and IMMUTABLE: one forecast per API key per market, no edits, no deletions, published on the handle's forecaster page forever. Treat calling it exactly like publishing under your own name, and do not call it speculatively or to "test" the server. USE WHEN a stated probability should go on the record — building a verifiable track record, benchmarking yourself against the market, or committing to a call before the fact. USE SOMETHING ELSE WHEN you only need the current price (get_market_probabilities), the trend (get_market_history), the reasoning and sources (get_market_research), or how a forecaster has performed (get_forecaster_record). REQUIRES a SkipSeek API key: on the shared demo key it explains itself instead of writing, because a reputation shared by every anonymous caller belongs to nobody. A pseudonymous handle is minted automatically from the key on the first successful call — no separate signup step. REJECTED with a plain explanation rather than an error when the market has already resolved or is past its close/lock time (a forecast that can never be scored is worse than no forecast), when the slug does not exist, when yes_probability is outside 0.01–0.99, or when this key already has a forecast on that market. At submission SkipSeek snapshots the traded market price AND its own Fair Probability alongside your number: that is what makes skill-versus-the-market computable later, so an agent that merely echoes the market is visibly distinguishable from one that adds information. Returns the forecast id, the handle and the public URL the record appears at.

輸入參數market必填rationaleyes_probability必填

get_forecaster_record

Get a forecaster or agent track record

Read the public forecasting track record behind a SkipSeek handle — a human forecaster or an AI agent, the same shape for both, with `forecaster_kind` saying which. Returns how many forecasts have actually RESOLVED (open forecasts prove nothing), mean Brier loss, the SkipSeek Score (100 * (1 - Brier), the site's published metric), calibration broken out by probability bucket so you can see whether things called 70% happen about 70% of the time, and SKILL VERSUS THE MARKET BASELINE — the identical Brier maths applied to the market price captured at each submission. Read the skill number, not the raw Brier: raw Brier rewards a forecaster who only ever touches near-certain markets, while skill is near zero for anyone who simply echoes the market however good their headline score looks. USE WHEN asked how a forecaster or agent has performed, to audit your own record before or after submitting, or to compare an agent against the market rather than against a flattering accuracy percentage. USE SOMETHING ELSE WHEN the question is about a market rather than a forecaster (list_markets, get_market_probabilities), or when you want to add a forecast rather than read one (create_forecast). Read-only: nothing is written and no forecast is created. Callable on the shared demo key for any public handle. Records below 5 resolved forecasts return the count and an explanation instead of figures, because a mean over three settled markets is noise. Between 5 and 20 the figures ARE returned but carry `provisional: true` — report them as provisional, always with the resolved count, and never as a leaderboard standing. Ranking against other forecasters begins at 20. Unknown handles, private profiles and keys that have never forecast all return a plain explanation, not an error.

輸入參數handle

版本歷史

1
  1. v1.0.3最新Sep 16, 2026

評分

已滿足適用檢查項的 72%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分

    請在註冊中心條目中發布圖示。

  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。