Evidence row 125677

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://x402.agentutility.ai/employee-feedback-sentiment"
    ]
  ],
  "name": "AgentUtility.ai",
  "owner_address": "0x6c0752c09e7f6fa6526fcdf40e456a159ebb5621",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x6c0752c09e7F6fA6526fCDf40e456a159ebB5621",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "FJqAJ4dXkFbrp3EEo8E9x98iaBGUQwaU8Srz5ePfUXLH",
        "scheme": "exact"
      }
    ],
    "description": "Scores internal survey comments and anonymized employee feedback by morale, workload, manager support, and retention risk. Same sentiment-analysis backend. Use it as an employee feedback sentiment API, engagement survey classifier, or workplace comment scorer.",
    "extensions": {
      "bazaar": {
        "discoverable": true,
        "info": {
          "input": {
            "body": {
              "aspects": [
                "team",
                "workload",
                "retention_risk"
              ],
              "text": "I like the team, but the workload has been unsustainable this quarter."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "confidence": 0.84,
              "overall_score": -0.22,
              "overall_sentiment": "mixed"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "aspects": {
                      "description": "Optional. Up to 15 aspect names (e.g. 'food', 'service') to score individually alongside overall sentiment.",
                      "type": "array"
                    },
                    "text": {
                      "description": "Text to analyze. Max 12,000 chars.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ]
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "confidence": {
                      "type": "number"
                    },
                    "overall_score": {
                      "type": "number"
                    },
                    "overall_sentiment": {
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      },
      "builder-code": {
        "info": {
          "a": "bc_awpbwsy3"
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "additionalProperties": false,
          "properties": {
            "a": {
              "description": "App builder code",
              "pattern": "^[a-z0-9_]{1,32}$",
              "type": "string"
            },
            "s": {
              "description": "Service builder codes",
              "items": {
                "pattern": "^[a-z0-9_]{1,32}$",
                "type": "string"
              },
              "type": "array"
            },
            "w": {
              "description": "Wallet builder code",
              "pattern": "^[a-z0-9_]{1,32}$",
              "type": "string"
            }
          },
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1783070352/bazaar-icons/54f004eda341546b.png",
    "lastUpdated": "2026-10-19T11:26:53.697Z",
    "quality": {
      "l30DaysTotalCalls": 6,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-19T11:26:49.62Z"
    },
    "resource": "https://x402.agentutility.ai/employee-feedback-sentiment",
    "serviceName": "AgentUtility.ai",
    "tags": [
      "wordmint",
      "employee",
      "feedback",
      "sentiment"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Scores internal survey comments and anonymized employee feedback by morale, workload, manager support, and retention risk. Same sentiment-analysis backend. Use it as an employee feedback sentiment API, engagement survey classifier, or workplace comment scorer."
}

What the leaf hashes

{"body":"2b78f59182d927aad28e63da5d333101320eb05bbeba7dfa5c97991948439251","id":125677,"kind":"listing","method":"baseline/1","observed_us":1793025626589947,"prev":null,"subject":"x402_bazaar:https://x402.agentutility.ai/employee-feedback-sentiment","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. 0x2bc5c9e0ff337e34d93ff4c7fd5ba18afcb833eabda5c88d0159affafae0ab66
2. 0x8324112a2814dcf62392dca46eed2fe6f4e1b0778e645c827edcf4856e1ba20a
3. 0xcb6dc50de4daba679a913b44a0fc9cc0f0729cd3a00fc56a503ae1c796092e36
4. 0xeed819d9620dff2e9dbb9a62919d712c49661b1f9897877ec7e9c0ff1e9cfad9
5. 0xf7915ac965d46e7538d570a968561c437ef0320f5fbacd5c287c9687272a2bb0
6. 0x39975e9558dd64238563e2fc8c8e835333a69cacd8b899d8fa70122eeb8868b4
7. 0x0c4c2b6693753e5a7e5d1dc9d634556ee080c7b711bde985d0e7ef5154162109
8. 0x2d2ef57652a8c1949588d05180154bcbf5f4bd34af826443b6a2b7146b7bece0
9. 0x4b56b343294e474466fb86e0e07b807748a7fd58f1bcc4c4d158844fcd53480b
10. 0x1849abdab9b306191ae2d658697793afbb80090da1dc820f6ee0aacd338f8578
11. 0x9c1d7a3e2abd583b1dff8bd25a4baee5982930fe95a180a1a8b26c3f7e8c93f2
12. 0xe8bf822fd6c66b233e3e13e08596e8fb41c1ed9b85be0e4d50cfc9b740c0e206
13. 0xb87e8b32cda179c9e632e227bbd8a6d1f6f61d9d81bb92dbd4dd835d2b3b5caa
14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae