route_market
Find the best prediction market for a natural-language question or trading intent. Returns the best cross-venue match, current probability, liquidity, and any arbitrage opportunity between venues.
q必填
io.github.Alfred768由 GitHub 账号 Alfred768 发布v1.1.4更新于 Oct 24, 2026
Cross-venue prediction market routing for AI agents with arbitrage, quotes, history, and signals.
让助理查询并比较各平台预测市场的概率、流动性与套利机会,并获取下单链接。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
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阅读 https://sourceweft.com/mcp/io.github.Alfred768%2Fmantis/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"mantis": {
"type": "http",
"url": "https://mantiss.store/mcp"
}
}
}该仓库没有 README。
Find the best prediction market for a natural-language question or trading intent. Returns the best cross-venue match, current probability, liquidity, and any arbitrage opportunity between venues.
q必填Find live cross-venue arbitrage opportunities — markets where the same event trades at different prices on Polymarket vs Kalshi vs other venues. Can also estimate fee-normalized net spread for a position size.
venue_avenue_binclude_feesposition_sizemin_spread_pctGet a deep link URL to place a trade on the best venue for a given market. The URL has a referral code embedded so the platform earns commission. Call this to get the URL, then direct the user to open it.
sideamountsourcemarket_idroute_querycanonical_idGet the live probability, liquidity, and volume for a prediction market across all venues. Can also return venue order book depth and size-aware VWAP/slippage estimates.
sizemarket_idcanonical_idGet historical OHLCV-style prediction market candles over a time range, including the latest stored depth snapshot within each bucket when available. Can also export CSV text or base64-encoded Parquet.
to必填from必填venueformatmarket_idgranularitycanonical_idFind questions that users are searching for but no prediction market exists. Useful for discovering new market creation opportunities or identifying emerging topics with real trading interest.
dayslimit已满足适用检查项的 75%
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