Evidence row 569884

What was observed

{
  "count": 6,
  "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": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "amount": {
            "description": "USD amount to trade (for tracking)",
            "exclusiveMinimum": 0,
            "type": "number"
          },
          "canonical_id": {
            "description": "Cross-venue canonical market ID",
            "type": "string"
          },
          "market_id": {
            "description": "Platform-specific market ID (e.g. \"polymarket-abc123\")",
            "type": "string"
          },
          "route_query": {
            "description": "Original route_market query when source is route",
            "type": "string"
          },
          "side": {
            "default": "unknown",
            "description": "Which side to trade",
            "enum": [
              "yes",
              "no",
              "unknown"
            ],
            "type": "string"
          },
          "source": {
            "default": "direct",
            "description": "Tool path that produced this execution intent",
            "enum": [
              "direct",
              "route",
              "quote",
              "arbitrage",
              "webhook"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "execute_url"
    },
    {
      "description": "Find live cross-venue arbitrage opportunities — markets where the same event trades at different prices on Polymarket vs Kalshi vs other venues. Can also estimate fee-normalized net spread for a position size.",
      "inputSchema": {
        "$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"
    },
    {
      "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": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "canonical_id": {
            "description": "Cross-venue canonical market ID",
            "type": "string"
          },
          "format": {
            "default": "json",
            "description": "Return JSON candles, CSV text payload, or base64-encoded Parquet payload",
            "enum": [
              "json",
              "csv",
              "parquet"
            ],
            "type": "string"
          },
          "from": {
            "description": "Inclusive ISO 8601 start timestamp",
            "type": "string"
          },
          "granularity": {
            "default": "1d",
            "description": "Bucket size for history candles",
            "enum": [
              "1m",
              "5m",
              "15m",
              "1h",
              "4h",
              "1d"
            ],
            "type": "string"
          },
          "market_id": {
            "description": "Platform-specific market ID",
            "type": "string"
          },
          "to": {
            "description": "Inclusive ISO 8601 end timestamp",
            "type": "string"
          },
          "venue": {
            "description": "Venue filter, e.g. polymarket or kalshi",
            "type": "string"
          }
        },
        "required": [
          "from",
          "to"
        ],
        "type": "object"
      },
      "name": "get_history"
    },
    {
      "description": "Get the live probability, liquidity, and volume for a prediction market across all venues. Can also return venue order book depth and size-aware VWAP/slippage estimates.",
      "inputSchema": {
        "$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"
    },
    {
      "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": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "days": {
            "default": 7,
            "description": "Lookback window in days (default 7)",
            "maximum": 90,
            "minimum": 1,
            "type": "integer"
          },
          "limit": {
            "default": 20,
            "description": "Max results (default 20)",
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "get_unmet_demand"
    },
    {
      "description": "Find the best prediction market for a natural-language question or trading intent. Returns the best cross-venue match, current probability, liquidity, and any arbitrage opportunity between venues.",
      "inputSchema": {
        "$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"
    }
  ]
}

What the leaf hashes

{"body":"2b912a7a4b9b76c94d60bb08c7086d9e764652fce41a8b2ac3171eff8479f233","id":569884,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793139543856231,"prev":null,"subject":"0657a560-b8df-462a-8319-d30b45f1219b","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x6677f1b620123281d68bb84aae17c15fcf33932e82bba653a9de0b8295ec69e3
2. 0xe9515ab74e7a043a0ca82bff49d510e963bf7b4d6d338dbbe50a2fe6270df97c
3. 0x933dbc31220a8a0475c681db9785a4558cf806c8eed814103d59346cb9d5b59c
4. 0x043cc53b54e217aa8f14029111aa5e302d5e06af0208cdcb7aa4418f7e922381
5. 0xa9f2890f23aa64c8370f2815fb04ccca02400f5623996bb5bd382f4a37e20495
6. 0x2d827c534e2bbc10319ebfe1962fb88b60c419f8a46b16006d4c650e81513004
7. 0x219ba6727c9ba93865877cdd000c748a69a35dc41bafe4d0e03dddbcfbd9e878
8. 0x408bc0c515170d0483b142f1a0043de4d5ff3db6d3c71342afdf2dafe63ebf10
9. 0x595c26e1c4a04b224f5e372719d504f5b3edf957c2c9ff8551df179a4254e63c
10. 0xa7cbb8858264e8d035c4c8c9f44bacf605dcf936e96a132ec2b57cf640e1d117
11. 0x2790beb45139410d982bf832095cfc669288d124f5200d2bdd191f14d8df7e4e
12. 0xfc80c3ec28002b5abbe969b82c8409cc3216ef75df720eab92db371621f671d9
13. 0x4c257542b0421f909cc313308d9054fb29b4b46d9dca1b83169d04797233fda2
14. 0x3c5462812bd2f841e3d7deefc01555f18262fe5e0d5a7eb155330b7a7cb0388e
15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4