Evidence row 118695

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://predict.memoryapi.org/x402/predict/mispricing"
    ]
  ],
  "name": "predict.memoryapi.org/x402/predict/mispricing",
  "owner_address": "0x24facafeb49b4e3facf0b3e69604a2f4640c9bf2",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x24FAcafEB49b4e3FACF0B3e69604A2F4640c9bf2",
        "scheme": "exact"
      }
    ],
    "description": "Detect prediction market outcome mispricings — find markets where real-world outcome is already determined but market price is wrong",
    "extensions": {
      "bazaar": {
        "info": {
          "description": "Find weather prediction markets where outcome is known but market is mispriced. Compares real temperature vs market expectations.",
          "iconUrl": "https://memoryapi.org/icon.png",
          "input": {
            "method": "GET",
            "schema": {
              "properties": {},
              "required": []
            },
            "type": "http"
          },
          "output": {
            "example": {
              "markets_checked": 5,
              "opportunities": [
                {
                  "edge_pct": 82,
                  "expected_prob": 0.97,
                  "market_prob": 0.15,
                  "outcome": "YES",
                  "platform": "Polymarket",
                  "price_diff": 0.82,
                  "question": "Will Shanghai highest temp exceed 30°C on June 1?",
                  "type": "weather_outcome"
                }
              ],
              "opportunities_found": 1,
              "success": true
            }
          },
          "serviceName": "MemoryAPI Predict",
          "tags": [
            "prediction",
            "markets",
            "trading"
          ]
        },
        "schema": {
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "method"
              ]
            }
          }
        }
      }
    },
    "lastUpdated": "2026-10-19T10:25:40.378Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-19T10:25:40.188Z"
    },
    "resource": "https://predict.memoryapi.org/x402/predict/mispricing",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Detect prediction market outcome mispricings — find markets where real-world outcome is already determined but market price is wrong"
}

What the leaf hashes

{"body":"d74960a2ec039d32e0d3381346d31dc243c8434a1c5a6c0fea720697f0c59a57","id":118695,"kind":"listing","method":"baseline/1","observed_us":1793025613606964,"prev":null,"subject":"x402_bazaar:https://predict.memoryapi.org/x402/predict/mispricing","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xd4616423d0e27d5dfe3f3450d7a3a5d6e760300139e6f9325efba6617eacada4
2. 0x0a81651b3f97e4586ac852a45c70a4cce4c275cd41bd56f479c04dcd79b7a358
3. 0x4d8ef623d365bd5005d734ca63f5bda625bec4211f718b77afa351de57fdf785
4. 0x59f1b033a18b5f21305bee366b76710946ee230db5cd547f6073712ec1ea6ad0
5. 0xdb4c46e35e6f6d7ccb4d75a423ee92a2944a420db9482e296cb042960e31219d
6. 0x90819d038a9b7299381b9b02d3658cc7f2f02904a0bd7cf8f74354b9ca2e5855
7. 0xfee339372d351ecbcc1c18d57d3933c78c9a355a0862269d095880674002c074
8. 0xed1adb0ff81927e4e7735468d21104c525c417f5a491de9ac86474c09087c303
9. 0x7f07b9b890afd5ad8ae0ab9d5ede15b051d3990e59a076f5ffdfbf216d9a7016
10. 0xbf2ea8422e4d4634187236ad26741d988ab947590ee32bccf49379c5b69d0711
11. 0x13af2618b202e3256bff92107d30a646eb897d2992ea1f3e08e75bf4bef84c31
12. 0x7026808261896a203198354548e5e8cabce4a06e89d077c172084841b47ae119
13. 0x3199db04c2c73c3483386a86bf503eafde5af103465608156e2e5f42e72a6fbe
14. 0x6b927d53caa5125cdba9255612d524976c691f8672796c3f0885ba2c5b3af1ad
15. 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae