Evidence row 126270

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Analyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. Use only when Amazon review-sample analysis is explicitly requested; use `check_product_trust` for an existing evidence score or `compare_products` to rank listings. On-demand sampling without your cookie; reviews are sorted within the returned sample, but the provider does not guarantee the listing's newest 100. May trigger paid Bright Data collection and writes a seven-day analysis cache. force_refresh bypasses that cache and may start another paid scrape. A later explicit call without force_refresh resumes a pending job without a new scrape. Heuristics do not prove authenticity.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "force_refresh": {
            "default": false,
            "description": "Bypass the seven-day cache; may start a new paid review scrape. Leave false to reuse cache or resume a pending job.",
            "type": "boolean"
          },
          "product_id": {
            "description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H').",
            "maxLength": 128,
            "minLength": 1,
            "type": "string"
          },
          "retailer": {
            "description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy.",
            "enum": [
              "amazon",
              "walmart",
              "target",
              "bestbuy"
            ],
            "type": "string"
          }
        },
        "required": [
          "retailer",
          "product_id"
        ],
        "type": "object"
      },
      "name": "analyze_reviews"
    },
    {
      "description": "Return the GoBuy Evidence Score (0-100) and complete signal breakdown for a single retailer listing on Amazon, Walmart, Target, or Best Buy. This is the GPV-1 gate evaluator: score >= 55 PASS, 35-54 FLAG, < 35 or not-indexed BLOCK. The returned verdict is an evidence tier (strong/moderate/weak), not a computed GPV-1 checkout decision. Use this for individual product lookups. To compare and rank multiple products, use `compare_products` instead. Use `analyze_reviews` only for explicitly requested Amazon review-sample analysis; this lookup never fetches reviews. Read-only — does not modify any state or place orders. Scores describe available marketplace records, not product quality or purchase recommendations.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "product_id": {
            "description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H').",
            "maxLength": 128,
            "minLength": 1,
            "type": "string"
          },
          "retailer": {
            "description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy.",
            "enum": [
              "amazon",
              "walmart",
              "target",
              "bestbuy"
            ],
            "type": "string"
          }
        },
        "required": [
          "retailer",
          "product_id"
        ],
        "type": "object"
      },
      "name": "check_product_trust"
    },
    {
      "description": "Retrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this first for an existing store score; it is read-only and does not crawl. If not scored yet, use `scan_store` for an explicit fresh scan. For a retailer product listing rather than a storefront, use `check_product_trust`.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "domain": {
            "maxLength": 253,
            "pattern": "^(?=.{1,253}$)[a-z0-9](?:[a-z0-9-]*[a-z0-9])?(?:\\.[a-z0-9](?:[a-z0-9-]*[a-z0-9])?)+$",
            "type": "string"
          }
        },
        "required": [
          "domain"
        ],
        "type": "object"
      },
      "name": "check_store_score"
    },
    {
      "description": "Fetch Evidence Scores for 2-20 retailer listings and rank them by GoBuy Evidence Score (highest first). Use this when an agent is choosing between multiple products. For a single product lookup, use `check_product_trust` instead. Read-only — does not modify any state or place orders, and never fetches reviews. Unindexed products rank last. This is not purchase advice.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "products": {
            "description": "Array of 2-20 product references to compare and rank.",
            "items": {
              "additionalProperties": false,
              "properties": {
                "product_id": {
                  "description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H').",
                  "maxLength": 128,
                  "minLength": 1,
                  "type": "string"
                },
                "retailer": {
                  "description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy.",
                  "enum": [
                    "amazon",
                    "walmart",
                    "target",
                    "bestbuy"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "retailer",
                "product_id"
              ],
              "type": "object"
            },
            "maxItems": 20,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "products"
        ],
        "type": "object"
      },
      "name": "compare_products"
    },
    {
      "description": "Score any online store live with a fresh crawl (~20 seconds). Use when `check_store_score` returns 404 or a fresh scan is explicitly requested. Use `check_store_score` instead to retrieve an existing result without crawling. Requires a full HTTP(S) URL and updates the stored store score; repeated calls can trigger new scans. For marketplace product evidence, use `check_product_trust` instead. Docs: https://docs-gobuy.pages.dev",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "url": {
            "format": "uri",
            "maxLength": 2048,
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "scan_store"
    }
  ]
}

What the leaf hashes

{"body":"a72233087f427e0bcc2e92c58233b56f2bbd375b67cd52da97fd4409f1c79cd1","id":126270,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793025631964324,"prev":null,"subject":"764de1b0-17f3-48b1-924b-3c6bd7b4892c","subject_kind":"endpoint"}

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. 0xe9b65fcce28b2d49a6f572dfdc6e9b5fc24d593f612c2b09485cce3a2670a3a2
2. 0x9f2916d0d3fba7bc5b8fd8f028c7da76af885bd3507445d617c711a129e9a978
3. 0xb2fb40d9d6e22eec39b4d8e018472033e0945de90b20bca5d93906f96b20b3f3
4. 0x70ed289b435f5be183de9117c451d4416a2e43d41bcbe9f6e6cb81b13deab73f
5. 0x285c57dde6d92930eb66bbccd9e702447b74a9903b5d625ca833878200f336f0
6. 0xeb2c4e06deca8e90c4198ece0567f50f092fa356a2807bfc6bebafb51bb06ede
7. 0xa1ecd5390acf2104e8671faea356756f943fd653095fe120dbb848d8f83c4218
8. 0x3c3cc3825137b872ca2585548df5e97edbb643ad89a3210fe1cdbcb5536095bd
9. 0xcce86135b223046b3ade4a96f0a8df2882f2e1f37f7f13e367165e4c06af9b2e
10. 0x20aad7b310e719b68d461db419f1acf1d0f86794a395a52b3f5019b01d46fbbc
11. 0x2ec584f2a0466a34409d72f745f85d43c3f2da79c7fe353433c8b601cf9f2050
12. 0x22a204f0cf299dd3152f1542ba9998ff7665390da1ede6e58d06b8a7b2a107ee
13. 0xec98ca25cb12ffed7c3e1373971719ce414ee6deecd1e7724b2979e2c356d99f
14. 0x614d844c9e0509d9f9e63697aa2935555bce5f13695a8dc0047aa9e9898d70b3
15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae