Evidence row 558779

What was observed

{
  "count": 1,
  "tools": [
    {
      "description": "Prepare a B2B cold-outreach campaign. Finds up to 5 decision makers who match the target role, keywords and location (LinkedIn and Apollo), keeps only people whose work email Apollo has verified, and writes one outreach email template for them in English or Arabic that states only what the offer says. Returns the leads (name, title, organization, work email, LinkedIn URL) and the email (subject, preheader, greeting, intro, highlights, closing, cta_label) with {{first_name}} style placeholders. Takes about 30 to 90 seconds. Public service by JIR Ventures with a daily limit.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "additionalProperties": true,
        "properties": {
          "booking_link": {
            "description": "Meeting booking link for the call to action, or empty",
            "type": "string"
          },
          "company_name": {
            "description": "Name of the company that sends the outreach",
            "type": "string"
          },
          "email_language": {
            "description": "en for English or ar for Arabic",
            "type": "string"
          },
          "ideal_customer": {
            "description": "Description of the ideal customer, used for tone, or empty",
            "type": "string"
          },
          "keywords": {
            "description": "Industry or topic keywords that narrow the search, comma separated, for example fintech, SaaS. Can be empty",
            "type": "string"
          },
          "location": {
            "description": "City or country of the people to reach, for example Dubai or Saudi Arabia. Use worldwide for no filter",
            "type": "string"
          },
          "max_leads": {
            "description": "How many leads to return, 1 to 5",
            "type": "number"
          },
          "offer": {
            "description": "What the company sells or offers, in a few sentences. The email states only what is written here",
            "type": "string"
          },
          "requested_by": {
            "description": "Name of the AI assistant or app making this request, if known",
            "type": "string"
          },
          "target_role": {
            "description": "Job titles to reach, comma separated, for example Head of Sales, Sales Director",
            "type": "string"
          }
        },
        "required": [
          "company_name",
          "offer",
          "target_role",
          "keywords",
          "location",
          "email_language",
          "max_leads",
          "booking_link",
          "ideal_customer",
          "requested_by"
        ],
        "type": "object"
      },
      "name": "prepare_campaign"
    }
  ]
}

What the leaf hashes

{"body":"e8e7f4891ac66ad929dc7a9550e9cc9ad239ba290b041fd29466cf09fc662889","id":558779,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793135162287830,"prev":null,"subject":"5d5165a9-234a-4e7a-85af-528f934fc127","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0xd4a958e9a1e2b2e501539ee09cbf9d42db648505e80df860fb8b3b884d8cd5bc
2. 0xc795e01342da2d3f7c806ab433fb428e9092ef0eeb08ca8c8a82f9e2ac3fcc27
3. 0xc0eff3c5d36e123ceb09537d6031799677f9a4407347a3419822687114d2cf6c
4. 0x342f541e0a966749d78da032b21b0415f9f1cd94f06adae7b38bfe49cf5dc6ff
5. 0xb3631f7b8bed14de9dd240212548e49f378ce05c3bcea3171ca10e4d35df6d47
6. 0x0307c9455d1ab130fe217d6177e4c23b0fd09d8108909a1cbfd51f9e4033723d
7. 0xe6b1b861c688b4b7ddd7f0bb547123059510cad81fed66f2f25108b82bdf3473
8. 0xbd5feb29663066306bae3833affe0fb63443797555582e2a2b8ab8955d5081c2
9. 0x67605536359d8385c2fe70935737fd0a6a8007d089275cbf3dc567b1aa58704f
10. 0xb2c9fd2cbd2be2029da1f9d85a500b831a0507567d9d4ee91005df2d2ad7b9fa
11. 0xb260f65f574273b29152a0381cb63c4d5e250d7b6498b9b4f5aaf104e094e9d8
12. 0xba42125112c82614fda070baa3201b37bda47b7485d074641cdd174984f8ddaf
13. 0x3b3e4fecead12aaf883ab4f21b6e21efddd0a8d055ced058cb62bcdca8a6c9d6
14. 0x8f676edfb4faaa290229d8f4f69ab721fc627424463d62f5146b3d1ca7f2f0c6
15. 0x969cd44e5a4e8dc3110540398fbf689659eb51df735c1cda5d8f021ef9ff5683
16. 0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5
17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4