DegenHedge: Kalshi Bitcoin 15-minute data

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

사용해야 할까요

품질 및 안전성

B
설명 품질
90%
스키마 완전성
73%
이름 품질
93%
오염 위험
80%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainkalshi_fee에서
  • LOWTool 'kalshi_fee' description lacks action verbkalshi_fee에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~2,336토큰 (도구 정의)
~7.3 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.82%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

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

원격 엔드포인트

https://degenhedge.com/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (3)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

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

출력 스키마

{
  "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.

입력 스키마

{
  "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
}

출력 스키마

{
  "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.

입력 스키마

{
  "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
}

출력 스키마

{
  "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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