addrbookFor publishers
← The evidence ledger

Evidence row 1050810

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://predict.memoryapi.org/x402/predict/mispricing
Recorded
Previous row
#118695
Body SHA-256
9e6562537f496341096bbc66b39e5744079a0d1ca90cb96ecae9d32e7a0a3faa
Leaf
0xc5b3d96873ad855e5e07d3603dd9d4e9970bed483ddad3875af1ea4df67c9b1e

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": 1,
      "l30DaysUniquePayers": 1,
      "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":"9e6562537f496341096bbc66b39e5744079a0d1ca90cb96ecae9d32e7a0a3faa","id":1050810,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793299046326041,"prev":118695,"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 (242798 rows).

  1. 0xc5b37129deeb1a7001c88e240908c0cc8aaf311c636a2f3e11c4c7da8f2a83b2
  2. 0x8eb7a38bcfdc90c955e928bad2a53505eebc44dbc3bbe1f0e94fdb0f43609eee
  3. 0xfb4b666db7e52184bab5b55df465dc0e7dc3066e8c7dc917c22b5a04fe007659
  4. 0x6802d25ce716f58b41dc2adc709ad782d543ffdf7a0094fc957a20abd922c1b2
  5. 0xa2065ad060e3963753cd2a69bc67464c73049f3765aaf67bee69eddbd341f75e
  6. 0x176fbbec5d8a62950cbb071ccfc82ca404002af6e5601c483fa80a7be68c324e
  7. 0x613432e774523d93c98bf3d5092f29d3b5288c23b6dad0b0632e754de3c70982
  8. 0xe220acef92762e889acedea79c4c253d2a3ab46ff0f4f6c93026e1cc81946be5
  9. 0xacd11a7b5083d6b02c1f81f80be09b1c77d8e2063343d29ab3b5159d8045c2e7
  10. 0x6688118ba07eb05af3ca7622ebfb1ec1ff4fcb4880890fa5c54458f126c9fbcd
  11. 0x84df6568fe5e70a94da766965843ed2b8772deea875f72fbeca3146fdbeb6f8c
  12. 0xc17b3a2fd1cc935170fb8b27356606841adb83d41f27bc9a6f20b6b128b31044
  13. 0x82acf0ab79b727689a8862d5f40ebc054bfa26bd74148138aeb5de693084058a
  14. 0x104600713bd70fcbdf137fa07f8136bb6c252c890776bc7cbd7b194271f8b93a
  15. 0x4e4f8f228a3b7a38299ec6f2b1967c6cf4de15fdd9dc0d200e691266e51ef99d
  16. 0xef5d5572aac8f06b61579b7167b369fcb479d9027d4037dc9cacff9e3a26ffd2
  17. 0xa1fa2e97e71ad6e802f325afd74bb7095901f2060529c9739182a1233f8804bc
  18. 0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785
Day root
0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
Chained
0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
Published
On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1

How to check it · This row as JSON