DegenHedge: Kalshi Bitcoin 15-minute data

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

我該用這個嗎

品質與安全性

B
說明品質
90%
結構描述完整度
73%
命名品質
93%
汙染風險
80%
權限相符程度
100%
協定合規性
100%

發現項目(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

根據工具定義與協定合規性的自動化分析。

上下文成本

~2,336Token(工具定義)
~7.3 KB典型回應大小
中等的注意力影響(128k 上下文的 1.82%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

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

遠端端點

https://degenhedge.com/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 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.

輸入結構描述

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

輸出結構描述

{
  "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.

輸入結構描述

{
  "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
}

輸出結構描述

{
  "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.

輸入結構描述

{
  "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
}

輸出結構描述

{
  "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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