Evidence row 76028

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://gov.halowerk.com/v1/sentiment-analysis"
    ]
  ],
  "name": "gov.halowerk.com/v1/sentiment-analysis",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "2000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "currency": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "asset": "USDC",
          "assetTransferMethod": "eip3009",
          "eip712Domain": {
            "chainId": 8453,
            "name": "USD Coin",
            "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
            "version": "2"
          },
          "name": "USD Coin",
          "network_name": "Base Mainnet",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "recipient": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "scheme": "exact"
      }
    ],
    "description": "Tokenizes caller-supplied text and counts matches against a small declared English/German unigram lexicon. It reports coverage and a normalized polarity score; it does not understand context, sarcasm, negation, policy merit, or public opinion.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "text": "The transparent milestone plan is useful, but the vague audit clause creates serious risk."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "text": {
                      "description": "Text to score.",
                      "maxLength": 50000,
                      "minLength": 1,
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T05:40:18.708Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T05:40:18.226Z"
    },
    "resource": "https://gov.halowerk.com/v1/sentiment-analysis",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Tokenizes caller-supplied text and counts matches against a small declared English/German unigram lexicon. It reports coverage and a normalized polarity score; it does not understand context, sarcasm, negation, policy merit, or public opinion."
}

What the leaf hashes

{"body":"43518eb56da2a08b66de427a8e9f6ba985765583bd94cc454665f8741ed3b1c2","id":76028,"kind":"listing","method":"baseline/1","observed_us":1793025491528255,"prev":null,"subject":"x402_bazaar:https://gov.halowerk.com/v1/sentiment-analysis","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. 0x4ce586d16f747d2c03be5ee1cf10c5d6edbb9d3474c036f3a6509ce2302fd1ba
2. 0x4537dbc00ec9d797909e6086a7f3e5fa4f71e182af7434b5a54971e5e5bb7634
3. 0xa21dcbcf3a81d973896d9cd614022bf02e8bb4bbadcac6fbcf52c93759fedd37
4. 0x957315039a737d974892408fa98f7d25d445af7a72297aecbf7700a53f9c1564
5. 0x4c0028853073f30589c09ae974e50c9c14b7e027a90a7b9ddd92711b1828537d
6. 0x52df5b58a11502fcdff68a5e4f60a94de131c0f1684124a31d5ac333af905469
7. 0x9cd603c72a7d7395e0e98e66f1cd2e116a135058158392255a74c98ec8d891fb
8. 0xb1547ef0f3fc2a4612f61bc7e12a01c9e0fbdbc7246f01dac8e50ed25b8fc3ff
9. 0xe94d7f707d4adf6711a51bb9ab206051c7a08d643660328859f7a47b218ad643
10. 0x4af637ad93b988fe64e96a6e50ca3aa29400b19cae5b542c13a7e49b02fec7a6
11. 0x4a13cd2655a1d8b39528cfa63482483519544a5eb593623bd8ca3eb463e263b6
12. 0x9c16024747eaca32d09963ccb001059f75dcd9bb8dfc221e5234d54d2b3388d9
13. 0x1ffd24a0422348bb2305058cc138e276511e1c074bf8139af5b773941f0e5de2
14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae