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Evidence row 117192

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://money-mind-extract.onrender.com/judge-lite
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
74426da50acec3ddb708bc9f5f5f5a222576322af012a87e748551e0b7431e47
Leaf
0x8556d27e1cdfc02d52f326bd91d79ac54897e39917ff3da81147c8b283b6d61e

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://money-mind-extract.onrender.com/judge-lite"
    ]
  ],
  "name": "money-mind-extract.onrender.com/judge-lite",
  "owner_address": "0xf74a157012e95ac068510feb9cf1add7f68fa032",
  "raw": {
    "accepts": [
      {
        "amount": "50000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "description": "Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_tested), deflated Sharpe, and date-clustered t. Verdict REAL means every gate passed; PROVISIONAL means the selection gates passed but no dates were given, so clustering is unchecked — never REAL; NO names the gate that killed it. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxAmountRequired": "50000",
        "maxTimeoutSeconds": 60,
        "mimeType": "application/json",
        "network": "eip155:8453",
        "outputSchema": {
          "example": {
            "dsr": 0.99,
            "family_wise_p": 0.0002,
            "killed_by": [],
            "t": 4.3,
            "t_clustered": 4.4,
            "verdict": "REAL"
          },
          "properties": {
            "dsr": {
              "type": "number"
            },
            "family_wise_p": {
              "type": "number"
            },
            "killed_by": {
              "type": "array"
            },
            "t": {
              "type": "number"
            },
            "t_clustered": {
              "type": "number"
            },
            "verdict": {
              "type": "string"
            }
          },
          "type": "object"
        },
        "payTo": "0xf74A157012e95aC068510fEb9cf1AdD7F68fa032",
        "resource": "https://money-mind-extract.onrender.com/judge-lite",
        "scheme": "exact"
      }
    ],
    "description": "Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_tested), deflated Sharpe, and date-clustered t. Verdict REAL means every gate passed; PROVISIONAL means the selection gates passed but no dates were given, so clustering is unchecked — never REAL; NO names the gate that killed it. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.",
    "extensions": {
      "bazaar": {
        "category": "api",
        "discoverable": true,
        "info": {
          "input": {
            "body": {
              "dates": [
                "2024-06-03",
                "2024-06-03",
                "2024-06-04",
                "2024-06-04",
                "2024-06-05",
                "2024-06-05"
              ],
              "n_tested": 20,
              "returns": [
                0.8,
                -0.3,
                1.2,
                0.5,
                -0.6,
                0.9
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "dsr": 0.99,
              "family_wise_p": 0.0002,
              "killed_by": [],
              "t": 4.3,
              "t_clustered": 4.4,
              "verdict": "REAL"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "description": "Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_te",
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-02T17:27:49.566Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-02T17:27:49.374Z"
    },
    "resource": "https://money-mind-extract.onrender.com/judge-lite",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_tested), deflated Sharpe, and date-clustered t. Verdict REAL means every gate passed; PROVISIONAL means the selection gates passed but no dates were given, so clustering is unchecked — never REAL; NO names the gate that killed it. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data."
}

What the leaf hashes

{"body":"74426da50acec3ddb708bc9f5f5f5a222576322af012a87e748551e0b7431e47","id":117192,"kind":"listing","method":"baseline/1","observed_us":1793025610857418,"prev":null,"subject":"x402_bazaar:https://money-mind-extract.onrender.com/judge-lite","subject_kind":"source_record"}

Proof

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

  1. 0x8556ecfeefa789721478e85d921c46cecb6eaa8c43f93f6467a09b4acc38bd1c
  2. 0x29e4c4c53b0fcea3f0df722384c9ca073f79ae486133a4f9896e8ff8eff87662
  3. 0xa41eb1eda0e42fd075b1d248fe2357846202e6aa00ab1234548b6f3edcdcaf55
  4. 0x60eba21a914f29973cc49235214a3055685848a2f83060be23a04c8e41d5d51f
  5. 0xd40997ba4158d65334aae9fd892619ee0227d86e37729e45f5ad36d613ea47d1
  6. 0x44d003bc0d4f9ae9ef5f7b855f5645b6b7b7b4a709fb5f1a23645543c91a6a73
  7. 0x7d849f3613a70d807b6164964bbc510ee019c4d056d03de29e21caa07afb8cfe
  8. 0xca7d5673e948641678afca09cf314dea22f14cc709af0674cf146d69992a5354
  9. 0x58b7ee5b62b8ee6a0b2f7bc8a51622b7fa7a224885c3d1c4f768751b5f3bbec8
  10. 0x57cf22ad94c4fd01cd46cc494037c1e1c1e5762f276a703f5e957ef32ad4aa0a
  11. 0x147021357b2eb773d60db74f751316bfd367b06080320d378c0c402240e98d59
  12. 0x146f43471a3bde6d8a04e87b6afd3ee6860c6e38a009f86aee705ce722b67748
  13. 0x91c2ae93ec20c7fed5088112fe3941ca622dfb3f8f1022c4844726c361244bd4
  14. 0x0eff463856b0992d53ab7d8c0b97c71541413358bdd445710c1e4b6aeb4d8f78
  15. 0x7eb603d37f0f22dae1ea013e391889906ffc0139ff26e25b044bee38eec8f9b2
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON