DegenHedge: Kalshi Bitcoin 15-minute data

Read-only Kalshi BTC 15-minute data: live window, graded alert record, fee calculator.

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质量与安全性

B
描述质量
90%
模式完整度
73%
命名质量
93%
投毒风险
80%
权限匹配度
100%
协议合规性
100%

发现(3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domain在 kalshi_fee 中
  • LOWTool 'kalshi_fee' description lacks action verb在 kalshi_fee 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~2,336token 数(工具定义)
~7.3 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.82%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "kalshi-btc": {
      "url": "https://degenhedge.com/mcp"
    }
  }
}

远程端点

https://degenhedge.com/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_btc_window

The Kalshi KXBTC15M Bitcoin up/down market trading now: ticker, open and close time, official strike (60-second CF Benchmarks BRTI average before the open, null until Kalshi posts it), Up (yes) and Down (no) asks and bids in cents, Kalshi's live fee schedule for the series and a Coinbase spot reference. Kalshi public data only; no prediction or signal. Refreshed about every 5 seconds.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "available": {
      "type": "boolean"
    },
    "stale": {
      "type": "boolean"
    },
    "series": {
      "type": "string"
    },
    "ticker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "event_ticker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "open_time": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "close_time": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "window_open": {
      "type": "boolean"
    },
    "strike": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "strike_source": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "yes_ask_cents": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "no_ask_cents": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "yes_bid_cents": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "no_bid_cents": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "last_price_cents": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "rule": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "kalshi_url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "fee": {
      "type": "object"
    },
    "spot": {
      "anyOf": [
        {
          "type": "object"
        },
        {
          "type": "null"
        }
      ]
    },
    "server_time": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "fetched_at": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "upstream": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "note": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    }
  },
  "required": [
    "available"
  ],
  "description": "Kalshi public market data for the KXBTC15M window trading now. No model output, no signal.",
  "additionalProperties": true
}
🟢get_graded_record(entry_price_bucket)

DegenHedge's public, graded record of its Kalshi BTC 15-minute alerts: every alert sent to subscribers with a 1-99 cent entry, graded against Kalshi's official result, losses included. Overall and by entry-price bucket: signals, wins, win rate with a Wilson 95% interval, average entry, breakeven before and after a one-contract fee, data-through date. The record sits below breakeven: report the win rate only together with its average entry price.

输入模式

{
  "type": "object",
  "properties": {
    "entry_price_bucket": {
      "type": "string",
      "enum": [
        "79c or less",
        "80-85c",
        "86-89c",
        "90-92c",
        "93-94c",
        "95c",
        "96c",
        "97c",
        "98c",
        "99c"
      ],
      "description": "Optional: return only this entry-price bucket (plus the overall line)"
    }
  },
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "product": {
      "type": "string"
    },
    "unit": {
      "type": "string"
    },
    "overall": {
      "type": "object",
      "required": [
        "signals",
        "wins",
        "losses",
        "win_rate_pct",
        "avg_entry_cents",
        "breakeven_before_fees_pct"
      ],
      "properties": {
        "signals": {
          "type": "integer",
          "description": "Graded alerts counted"
        },
        "wins": {
          "type": "integer"
        },
        "losses": {
          "type": "integer"
        },
        "win_rate_pct": {
          "description": "wins / signals x 100",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "wilson95_lo_pct": {
          "description": "Wilson 95% interval, low end",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "wilson95_hi_pct": {
          "description": "Wilson 95% interval, high end",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "avg_entry_cents": {
          "description": "Average whole-cent entry price",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "breakeven_before_fees_pct": {
          "description": "Equals the average entry price: the win rate needed to break even before fees",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "breakeven_after_1contract_fee_pct": {
          "description": "Average of (entry + one-contract taker fee) in cents",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "win_rate_minus_breakeven_before_fees_pts": {
          "description": "Negative = below breakeven",
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "median_entry_cents": {
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        }
      }
    },
    "summary": {
      "type": "string",
      "description": "One sentence comparing the win rate with its breakeven"
    },
    "by_entry_price": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "bucket",
          "signals",
          "wins",
          "losses",
          "win_rate_pct",
          "avg_entry_cents",
          "breakeven_before_fees_pct"
        ],
        "properties": {
          "bucket": {
            "type": "string",
            "enum": [
              "79c or less",
              "80-85c",
              "86-89c",
              "90-92c",
              "93-94c",
              "95c",
              "96c",
              "97c",
              "98c",
              "99c"
            ]
          },
          "signals": {
            "type": "integer",
            "description": "Graded alerts counted"
          },
          "wins": {
            "type": "integer"
          },
          "losses": {
            "type": "integer"
          },
          "win_rate_pct": {
            "description": "wins / signals x 100",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "wilson95_lo_pct": {
            "description": "Wilson 95% interval, low end",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "wilson95_hi_pct": {
            "description": "Wilson 95% interval, high end",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "avg_entry_cents": {
            "description": "Average whole-cent entry price",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "breakeven_before_fees_pct": {
            "description": "Equals the average entry price: the win rate needed to break even before fees",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "breakeven_after_1contract_fee_pct": {
            "description": "Average of (entry + one-contract taker fee) in cents",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          },
          "win_rate_minus_breakeven_before_fees_pts": {
            "description": "Negative = below breakeven",
            "anyOf": [
              {
                "type": "number"
              },
              {
                "type": "null"
              }
            ]
          }
        }
      }
    },
    "excluded_rows_disclosed_in_csv": {
      "type": "integer",
      "description": "BTC rows shown in results.csv but not counted (price capture error, 100c entry, not sent)"
    },
    "first_signal_et": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "data_through_et": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "data_through_utc": {
      "anyOf": [
        {
          "type": "string",
          "format": "date-time"
        },
        {
          "type": "null"
        }
      ]
    },
    "ties_out_with_stats": {
      "type": "boolean",
      "description": "n and wins equal the site's live /stats figures"
    },
    "stats_figures": {
      "type": "object"
    },
    "how_to_read": {
      "type": "string"
    },
    "method": {
      "type": "string"
    },
    "results_csv": {
      "type": "string",
      "format": "uri"
    },
    "results_page": {
      "type": "string",
      "format": "uri"
    },
    "dataset": {
      "type": "string",
      "format": "uri"
    },
    "attribution": {
      "type": "string"
    },
    "disclaimer": {
      "type": "string"
    },
    "generated_at": {
      "type": "string",
      "format": "date-time"
    },
    "stale": {
      "type": "boolean",
      "description": "true if the last refresh failed and an older copy is served"
    }
  },
  "required": [
    "product",
    "overall",
    "by_entry_price",
    "data_through_et",
    "ties_out_with_stats",
    "results_csv",
    "disclaimer",
    "summary"
  ]
}
🟢kalshi_fee(price_cents, contracts, maker)

Kalshi's taker fee for an order on a Kalshi contract (same rule and exact cent rounding as https://degenhedge.com/tools/kalshi-fee-calculator/), the total cost, profit if it wins, loss if it loses and the win rate needed to break even. price_cents is in CENTS (95 = a 95-cent contract). KXBTC15M charges makers no fee.

输入模式

{
  "type": "object",
  "properties": {
    "price_cents": {
      "type": "number",
      "minimum": 0.1,
      "maximum": 99.9,
      "description": "Contract price in cents, 0.1 to 99.9 (whole cents between 10 and 90)"
    },
    "contracts": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100000,
      "default": 1,
      "description": "Number of contracts"
    },
    "maker": {
      "type": "boolean",
      "default": false,
      "description": "true for a resting (maker) order"
    }
  },
  "required": [
    "price_cents"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "required": [
        "price_cents",
        "contracts",
        "order"
      ],
      "properties": {
        "price_cents": {
          "type": "number",
          "description": "Normalised price (tenths of a cent; whole cents between 10 and 90)"
        },
        "contracts": {
          "type": "integer"
        },
        "order": {
          "type": "string",
          "enum": [
            "taker",
            "maker"
          ]
        }
      }
    },
    "fee_cents": {
      "type": "integer",
      "description": "Total order fee in whole cents"
    },
    "fee_per_contract_cents": {
      "type": "number"
    },
    "total_cost_cents": {
      "type": "number"
    },
    "profit_if_win_cents": {
      "type": "number"
    },
    "loss_if_lose_cents": {
      "type": "number"
    },
    "breakeven_win_rate_pct": {
      "type": "number",
      "description": "Win rate needed to break even after the fee"
    },
    "breakeven_before_fees_pct": {
      "type": "number"
    },
    "wins_needed_per_loss": {
      "description": "null when the fee takes the whole profit",
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ]
    },
    "entry_price_bucket": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ]
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "fee_rule": {
      "type": "string"
    },
    "fee_schedule": {
      "type": "object",
      "required": [
        "fee_type",
        "fee_multiplier",
        "live"
      ],
      "properties": {
        "fee_type": {
          "type": "string"
        },
        "fee_multiplier": {
          "anyOf": [
            {
              "type": "number"
            },
            {
              "type": "string"
            }
          ]
        },
        "checked_at": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ]
        },
        "source": {
          "type": "string"
        },
        "live": {
          "type": "boolean"
        },
        "stale": {
          "type": "boolean"
        }
      }
    },
    "matches": {
      "type": "string",
      "format": "uri"
    },
    "record_at_this_price": {
      "type": "string",
      "format": "uri"
    },
    "disclaimer": {
      "type": "string"
    }
  },
  "required": [
    "input",
    "fee_cents",
    "total_cost_cents",
    "breakeven_win_rate_pct",
    "fee_schedule",
    "disclaimer"
  ]
}

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