Server definition

Hash: sha256:40f923eff3de95e5a2b00d9a0027cf84a77e7950cd4771867bc5278266952fe9
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Get 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.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "amount": {
            "description": "USD amount to trade (for tracking)",
            "exclusiveMinimum": 0,
            "type": "number"
          },
          "canonical_id": {
            "description": "Cross-venue canonical market ID",
            "type": "string"
          },
          "market_id": {
            "description": "Platform-specific market ID (e.g. \"polymarket-abc123\")",
            "type": "string"
          },
          "route_query": {
            "description": "Original route_market query when source is route",
            "type": "string"
          },
          "side": {
            "default": "unknown",
            "description": "Which side to trade",
            "enum": [
              "yes",
              "no",
              "unknown"
            ],
            "type": "string"
          },
          "source": {
            "default": "direct",
            "description": "Tool path that produced this execution intent",
            "enum": [
              "direct",
              "route",
              "quote",
              "arbitrage",
              "webhook"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "execute_url",
      "outputSchema": null
    },
    {
      "description": "Find live cross-venue arbitrage opportunities — markets where the same event trades at different prices on Polymarket vs Kalshi vs other venues. Can also estimate fee-normalized net spread for a position size.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "include_fees": {
            "default": false,
            "description": "Whether to include estimated fee/friction normalization",
            "type": "boolean"
          },
          "min_spread_pct": {
            "default": 4,
            "description": "Minimum spread in percentage points (default 4 = 4¢)",
            "maximum": 50,
            "minimum": 1,
            "type": "number"
          },
          "position_size": {
            "default": 0,
            "description": "USD position size used for fee/slippage estimation",
            "exclusiveMinimum": 0,
            "type": "number"
          },
          "venue_a": {
            "description": "Optional venue filter for one side of the arbitrage pair, e.g. polymarket",
            "type": "string"
          },
          "venue_b": {
            "description": "Optional venue filter for the other side of the arbitrage pair, e.g. kalshi",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_arbitrage",
      "outputSchema": null
    },
    {
      "description": "Get 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.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "canonical_id": {
            "description": "Cross-venue canonical market ID",
            "type": "string"
          },
          "format": {
            "default": "json",
            "description": "Return JSON candles, CSV text payload, or base64-encoded Parquet payload",
            "enum": [
              "json",
              "csv",
              "parquet"
            ],
            "type": "string"
          },
          "from": {
            "description": "Inclusive ISO 8601 start timestamp",
            "type": "string"
          },
          "granularity": {
            "default": "1d",
            "description": "Bucket size for history candles",
            "enum": [
              "1m",
              "5m",
              "15m",
              "1h",
              "4h",
              "1d"
            ],
            "type": "string"
          },
          "market_id": {
            "description": "Platform-specific market ID",
            "type": "string"
          },
          "to": {
            "description": "Inclusive ISO 8601 end timestamp",
            "type": "string"
          },
          "venue": {
            "description": "Venue filter, e.g. polymarket or kalshi",
            "type": "string"
          }
        },
        "required": [
          "from",
          "to"
        ],
        "type": "object"
      },
      "name": "get_history",
      "outputSchema": null
    },
    {
      "description": "Get the live probability, liquidity, and volume for a prediction market across all venues. Can also return venue order book depth and size-aware VWAP/slippage estimates.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "canonical_id": {
            "description": "Cross-venue canonical market ID",
            "type": "string"
          },
          "market_id": {
            "description": "Platform-specific market ID",
            "type": "string"
          },
          "size": {
            "default": 0,
            "description": "USD size for YES-buy VWAP/slippage estimation",
            "exclusiveMinimum": 0,
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "get_quote",
      "outputSchema": null
    },
    {
      "description": "Find 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.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "days": {
            "default": 7,
            "description": "Lookback window in days (default 7)",
            "maximum": 90,
            "minimum": 1,
            "type": "integer"
          },
          "limit": {
            "default": 20,
            "description": "Max results (default 20)",
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "get_unmet_demand",
      "outputSchema": null
    },
    {
      "description": "Find the best prediction market for a natural-language question or trading intent. Returns the best cross-venue match, current probability, liquidity, and any arbitrage opportunity between venues.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "q": {
            "description": "Natural language question or trading intent, e.g. \"Will BTC reach $200k in 2025?\" or \"Fed rate cut September\"",
            "type": "string"
          }
        },
        "required": [
          "q"
        ],
        "type": "object"
      },
      "name": "route_market",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:40f923eff3de95e5a2b00d9a0027cf84a77e7950cd4771867bc5278266952fe9 | sha256sum