kalshispy

endpoint

https://kalshispy.com/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is kalshispy live?

Yes — it answered the hub's last check (checked 8m ago). It answered 100% of checks over the last 30 days.

Is kalshispy free to use?

Yes — the hub reached it with no key and no payment.

What tools does kalshispy have?

5 tools: search_settled_wins, get_settled_win, search_markets, get_stats, list_categories.

Is kalshispy safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_stats open 8m ago

  Aggregate figures for the settled-wins archive: markets won, net and winners' realized profit, first and last settlement, a per-category breakdown and the highest-profit traders in the archive. Use it for "how has this roster done overall" context, always with the wins-only caveat. `available:false` means the archive has not been published yet. No API key needed.

  mcp-tool

  12345

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

  arguments 5 lines copy
• list_categories open 8m ago

  Every category that has at least one archived win, with win count, net profit and the last settlement time. Use the `key` value as the `category` filter of searchSettledWins. No API key needed.

  mcp-tool

  12345

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

  arguments 5 lines copy
• search_settled_wins unknown never probed

  Search KalshiSpy's archive of settled Kalshi markets where its roster of ID-verified, high-profit Kalshi traders held the WINNING side with positive net realized profit. Parameter and field names call these traders "whales" (whale_count, min_whales, sort=whales); in prose, call them the roster or the verified traders. Wins only: losses are not archived, so present results as "what this roster got right on markets like this", never as a hit rate. Use this BEFORE answering about any current or upcoming Kalshi market: search the same series_ticker (e.g. KXFED, KXNBA) or category and cite the comparable past wins — titles, settlement dates, trader counts and realized profit. Each result carries the Kalshi URL and a kalshispy.com detail URL you can cite. Default window is the last 90 days; widen with `from`/`to` (max 366 days). No API key needed.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "to": {
        "type": "string",
        "description": "End of the settlement window (inclusive). Default: now."
      },
      "from": {
        "type": "string",
        "description": "Start of the settlement window. Default: 90 days before `to`. Clamped to the archive start (2025-01-01) and to a 366-day maximum; the effective window is echoed in `window`."
      },
      "sort": {
        "enum": [
          "recent",
          "profit",
          "whales"
        ],
        "type": "string",
        "default": "recent",
        "description": "recent = newest settlement first; profit = largest net profit first; whales = most whales on the winning side first."
      },
      "limit": {
        "type": "integer",
        "default": 20,
        "maximum": 50,
        "minimum": 1,
        "description": "Page size."
      },
      "query": {
        "type": "string",
        "pattern": "^[\\w .,'&:/()-]+$",
        "maxLength": 80,
        "description": "Free-text search. Every term (2+ chars, max 8) must appear as a substring in the title, outcome, event title, series ticker or ticker. Example: \"fed rate\" or \"lakers\"."
      },
      "cursor": {
        "type": "string",
        "maxLength": 200,
        "description": "Opaque cursor from a previous response (`page.next_cursor`). Send it with the SAME filters; changing the query invalidates it."
      },
      "category": {
        "enum": [
          "politics",
          "elections",
          "sports",
          "entertainment",
          "economics",
          "financials",
          "crypto",
          "weather",
          "world",
          "scitech",
          "companies",
          "health",
          "social",
          "transportation",
          "mentions",
          "exotics",
          "other"
        ],
        "type": "string",
        "description": "Category key from listCategories (e.g. sports, politics, economics)."
      },
      "min_whales": {
        "type": "integer",
        "maximum": 40,
        "minimum": 1,
        "description": "Only wins with at least this many roster traders on the winning side."
      },
      "event_ticker": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{1,60}$",
        "description": "Kalshi event ticker, e.g. KXFED-26SEP."
      },
      "series_ticker": {
        "type": "string",
        "pattern": "^[A-Za-z0-9_-]{1,40}$",
        "description": "Kalshi series ticker, e.g. KXFED, KXNBA. The best way to find \"markets like this one\"."
      }
    },
    "additionalProperties": false
  }

  arguments 81 lines copy
• get_settled_win unknown never probed

  Full record of one settled Kalshi market this roster won: outcome, consensus, every roster trader on the winning side with their realized profit and picture, close and expiration times, keywords, and `hints.similar` — comparable wins in the same series to judge it against. Returns 404 when the ticker is not an archived win (the roster was not on it, or was on the losing side); the 404 carries a hint to search the series instead. No API key needed.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "ticker"
    ],
    "properties": {
      "ticker": {
        "type": "string",
        "pattern": "^[A-Za-z0-9][A-Za-z0-9_.-]{0,79}$",
        "description": "Kalshi market ticker."
      }
    },
    "additionalProperties": false
  }

  arguments 14 lines copy
• search_markets unknown 8m ago

  Find Kalshi markets by title or keywords, the way the KalshiSpy app's search works: fuzzy title matching finds the market series (so a team, a nickname or an approximate title works), and keyword matching runs against market titles. WITHOUT an API key it returns SETTLED WINS ONLY: settled markets where KalshiSpy's roster of ID-verified, high-profit Kalshi traders held the winning side (wins only, never a hit rate). WITH an Elite or Lifetime API key the same call also returns OPEN markets in `open_markets`: roster positions from the live feed and named traders' recent trades on still-open markets, and it costs 1 unit of the daily quota. Always read `data.access`: it says which answer you got and, when a key was refused, why; relay that sentence rather than guessing. Call this first whenever the user names a market in words, send the words under the argument name this tool's own schema gives, and cite each market's kalshi_url. An empty list is never evidence that Kalshi has no such market. For more wins, follow `settled_wins.more`, which carries ready-made search_settled_wins arguments.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 25,
        "minimum": 1,
        "description": "Maximum items in each list (settled wins, roster markets, recently traded markets)."
      },
      "query": {
        "type": "string",
        "pattern": "^[\\w .,'&:/()-]+$",
        "maxLength": 80,
        "description": "Market title or keywords, e.g. \"super bowl\", \"fed rate\" or \"bitcoin\". Terms of 2+ characters, at most 8. Keyword matching ANDs them as substrings of the title, outcome and tickers (settled wins also match the event title); the full text is also fuzzy-matched to market series."
      }
    },
    "additionalProperties": false
  }

  arguments 22 lines copy

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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.