Evidence row 771932

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "The range and median monthly cost of AI receptionists or live virtual receptionists at a call volume (3-minute calls), the all-in rate per minute and the range of entry plans. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/ai-receptionist-cost/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "calls": {
            "default": 150,
            "description": "Calls a month",
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "type": {
            "description": "ai, or virtual (live people)",
            "enum": [
              "ai",
              "virtual"
            ],
            "type": "string"
          }
        },
        "required": [
          "type"
        ],
        "type": "object"
      },
      "name": "category_range"
    },
    {
      "description": "Monthly cost of every AI or virtual receptionist at a call volume and call length, lowest first, from each vendor's cheapest published plan plus overage. Quote-only vendors are listed separately. Defaults: AI receptionists, 3-minute calls. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/ai-receptionist-cost/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "calls": {
            "description": "Calls a month (13 calls a day, the small-business average in Google CallJoy's testing, is 390)",
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "minutes_per_call": {
            "default": 3,
            "description": "Average minutes per call",
            "maximum": 60,
            "minimum": 0.5,
            "type": "number"
          },
          "type": {
            "default": "ai",
            "enum": [
              "ai",
              "virtual",
              "platform",
              "all"
            ],
            "type": "string"
          }
        },
        "required": [
          "calls"
        ],
        "type": "object"
      },
      "name": "compare_at_volume"
    },
    {
      "description": "One vendor's published plans, overage, cost at 3, 5 and 13 three-minute calls a day, billing terms (rounding, time billed beyond the call, spam, setup fee, contract, trial) and which business tools it writes to, each with the URL and the date it was read. Accepts an id or a name, e.g. \"Ruby\", \"Smith.ai\", \"Rosie\", \"RingCentral\". Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "vendor": {
            "description": "Vendor id or name",
            "minLength": 2,
            "type": "string"
          }
        },
        "required": [
          "vendor"
        ],
        "type": "object"
      },
      "name": "get_vendor_pricing"
    },
    {
      "description": "Monthly cost of an in-house receptionist from BLS data (OEWS median wage for SOC 43-4171, national or by state; ECEC employer benefits other than paid leave, which is already paid inside 2,080 paid hours; NCS paid leave days; JOLTS quits times a published replacement-cost share), for one full-time hire or for full cover of N hours a week, next to the cheapest AI and virtual receptionist at the same call volume. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/hire-vs-ai/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "calls": {
            "default": 150,
            "description": "Calls a month",
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "hours_per_week": {
            "description": "Hours a week the phone must be covered; omit for one full-time hire",
            "maximum": 168,
            "minimum": 1,
            "type": "integer"
          },
          "state": {
            "description": "Two-letter state code, e.g. TX",
            "maxLength": 2,
            "minLength": 2,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "hire_vs_ai"
    },
    {
      "description": "For Clio, MyCase, Lawmatics, HubSpot, GoHighLevel, Google Calendar, Calendly, Jobber, ServiceTitan, Housecall Pro or Towbook: which AI and virtual receptionists document a built-in integration, which connect through Zapier, and the page that shows it. \"Not documented\" means neither the vendor's pages nor the tool's directory show it; it is not a guess. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/integrations/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "tool": {
            "description": "The business tool",
            "enum": [
              "Clio",
              "MyCase",
              "Lawmatics",
              "HubSpot",
              "GoHighLevel",
              "Google Calendar",
              "Calendly",
              "Jobber",
              "ServiceTitan",
              "Housecall Pro",
              "Towbook"
            ],
            "type": "string"
          }
        },
        "required": [
          "tool"
        ],
        "type": "object"
      },
      "name": "integrations"
    },
    {
      "description": "Every AI receptionist, virtual receptionist and build-your-own voice AI platform ReceptionistPrices.com prices, with its entry plan, whether it publishes prices, and the date its pricing page was read. Use it to find a vendor's id. Source: ReceptionistPrices.com, prices checked October 26, 2026, https://www.receptionistprices.com/pricing/",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "type": {
            "default": "all",
            "description": "ai: AI receptionists; virtual: live people (and live plus AI); platform: build your own",
            "enum": [
              "ai",
              "virtual",
              "platform",
              "all"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_vendors"
    }
  ]
}

What the leaf hashes

{"body":"ddbe955d6d103b8f4dc72b4990fc1dc33104ebd85ba0e5f08d149d1f1d67ba5c","id":771932,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793191311369529,"prev":null,"subject":"2a7a59ed-9461-4556-bb68-a1a68be57e3d","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-28 (231336 rows).

1. 0x594888f44bd251fd640ffd5b060329ea51161b67eb74a38a0e6622354a1aa034
2. 0xe828715d5e5c8301bc93f95d974a68fdcb0bf7e0e4de6e0319efd75abd421197
3. 0x764355686c94ba8e60e8798c05404ada831d997934cf64100ce5d7b2e7b7a900
4. 0xae7714f34c91efc27b6e1b969af69c96098ef91b47a58a363e2d8e9199c7121b
5. 0xd37db89888212de346cbbde7b78ac5e090bc100aaf22e7165d707da3eb1fba9a
6. 0xe66d372ae67588b17ae2d2d7838df0f72f2fc4e5415cc2ee52407dcd29ff0535
7. 0x4464345653c39508d27cc5b7ba1af27ead540330815406080dd9bd99c9a89a4d
8. 0xf6070e4b680a962abfe29844cb254bef0223cadb99a9a14ba6b1c3081176ce94
9. 0xfca9e6cbb204b070c29c27b492499031e46f8fa8eeec616948ec7c384a315f7e
10. 0x255e1d109abf6b981508eca3ed59a3147d1d3f5eaaf1ee2b30cabc3229190269
11. 0x8a9d71ac5cfaef6385b35a7dcd46eadc6ccc792cb36e7ca487a6b7f6f8c12b6b
12. 0x6a96be1768528f19bd6051f2165e74cce01382021ece95977e3d357ae8a64ebf
13. 0x747b66449975a0df45651472f6b4ec3add89070bb7da2008f4c0fd91a8f59b2c
14. 0x4a3671cf60fc2b873faa04c5863043b075336ef59080ef23af50811e899402d0
15. 0xd12637e9c035a4c3a66d0f0436dfc7bf3f13da4d17ea045b647d9e9beef1ef11
16. 0xa99a40fe210d675bb6ab72d4bb72ab40eb44ac345773c457fbe58e67a47b03df
17. 0x7a743a0a09057bae687051274e1d45bf973bd36a1a4ba16a191b5d29e3bdfa2a
18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae