Evidence row 218485

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Live scan of one website's AI search visibility (GEO/AEO, SEO for AI assistants): can ChatGPT, Claude and Perplexity crawl, read and cite it? Fetches the domain's /robots.txt, /llms.txt, /sitemap.xml and homepage, then returns a 0-100 score, grade, per-crawler allow/block status and prioritized fixes, each naming the AIReady tool that writes the fix. Use whenever a user names a site and asks about SEO, AI search or being found or cited by AI. Do NOT use for general advice on which bots to allow (use crawler_policy_guide) or to write new rules (use robots_txt_for_ai).",
      "inputSchema": {
        "properties": {
          "domain": {
            "description": "Public domain or URL to scan, e.g. example.com or https://example.com/page (path is ignored; no IPs, ports or localhost).",
            "type": "string"
          }
        },
        "required": [
          "domain"
        ],
        "type": "object"
      },
      "name": "check_ai_readiness"
    },
    {
      "description": "Static reference of 13 known AI crawlers and control tokens (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended...): owner, purpose, whether each drives AI citations or training, plus rules of thumb. Use to decide which bots to allow or block. No site is fetched. Do NOT use to audit a real site (use check_ai_readiness) or to produce rules (use robots_txt_for_ai).",
      "inputSchema": {
        "properties": {},
        "required": [],
        "type": "object"
      },
      "name": "crawler_policy_guide"
    },
    {
      "description": "Draft a starter llms.txt (Markdown: # name, > one-line summary, key page links, contact) from business details, to publish at the site root so AI agents get a curated summary. Use when a site has no llms.txt. Do NOT use for crawler access rules (use robots_txt_for_ai) or schema.org markup (use schema_jsonld_sample).",
      "inputSchema": {
        "properties": {
          "business_name": {
            "description": "Business or site name used as the '# ' title, e.g. Reddy Plumbing.",
            "type": "string"
          },
          "contact_email": {
            "description": "Optional contact email listed under '## Contact', e.g. hello@example.com.",
            "type": "string"
          },
          "description": {
            "description": "One sentence on what you offer and for whom, used as the '> ' summary, e.g. 24/7 emergency plumbers serving Austin, TX.",
            "type": "string"
          },
          "key_pages": {
            "description": "Optional important pages listed under '## Key pages'. Each needs title and url.",
            "items": {
              "properties": {
                "note": {
                  "description": "Optional short note shown after the link, e.g. Pricing and areas served.",
                  "type": "string"
                },
                "title": {
                  "description": "Link text, e.g. Services.",
                  "type": "string"
                },
                "url": {
                  "description": "Absolute page URL, e.g. https://example.com/services.",
                  "type": "string"
                }
              },
              "required": [
                "title",
                "url"
              ],
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "business_name",
          "description"
        ],
        "type": "object"
      },
      "name": "llms_txt_draft"
    },
    {
      "description": "Generate robots.txt User-agent rules for all known AI crawlers from a chosen policy (max_visibility, search_only, block_training, block_all_ai), with optional Content-Signal and Sitemap lines, to paste into an existing robots.txt. Use when writing AI crawler rules. Do NOT use to check a live site's current rules (use check_ai_readiness) or for bot background (use crawler_policy_guide).",
      "inputSchema": {
        "properties": {
          "content_signals": {
            "description": "Append a Content-Signal line (search / ai-input / ai-train) matching the policy. Default true; pass false to omit.",
            "type": "boolean"
          },
          "policy": {
            "description": "AI policy preset: max_visibility = allow every AI bot; search_only or block_training = allow search/answer bots, block training crawlers (same output); block_all_ai = disallow every known AI bot.",
            "enum": [
              "max_visibility",
              "search_only",
              "block_training",
              "block_all_ai"
            ],
            "type": "string"
          },
          "sitemap_url": {
            "description": "Optional absolute sitemap URL appended as a Sitemap: line, e.g. https://example.com/sitemap.xml.",
            "type": "string"
          }
        },
        "required": [
          "policy"
        ],
        "type": "object"
      },
      "name": "robots_txt_for_ai"
    },
    {
      "description": "Generate a schema.org JSON-LD snippet (Organization, LocalBusiness, Product with Offer, or FAQPage) from your details, with placement tips, so search engines and AI assistants can identify the entity. Use when adding structured data to a page. Do NOT use to check whether a site already has structured data (use check_ai_readiness) or for llms.txt (use llms_txt_draft).",
      "inputSchema": {
        "properties": {
          "address": {
            "description": "Optional street address for local_business, e.g. 100 Main St, Austin, TX 78701.",
            "type": "string"
          },
          "description": {
            "description": "Optional one-sentence description (organization, local_business, product).",
            "type": "string"
          },
          "name": {
            "description": "Entity name, e.g. Reddy Plumbing (required; not emitted for faq).",
            "type": "string"
          },
          "price": {
            "description": "Optional price for product; a 3-letter currency code in it sets priceCurrency (default USD), e.g. '49.00 USD'.",
            "type": "string"
          },
          "questions": {
            "description": "Question/answer pairs for faq (at least one required when type is faq).",
            "items": {
              "properties": {
                "answer": {
                  "description": "Answer text.",
                  "type": "string"
                },
                "question": {
                  "description": "Question text.",
                  "type": "string"
                }
              },
              "required": [
                "question",
                "answer"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "telephone": {
            "description": "Optional phone for local_business, ideally E.164, e.g. +1-512-555-0100.",
            "type": "string"
          },
          "type": {
            "description": "Entity type: organization, local_business (adds telephone/address), product (adds price Offer) or faq (requires questions).",
            "enum": [
              "organization",
              "local_business",
              "product",
              "faq"
            ],
            "type": "string"
          },
          "url": {
            "description": "Canonical page URL including https://, e.g. https://example.com (required; not emitted for faq).",
            "type": "string"
          }
        },
        "required": [
          "type",
          "name",
          "url"
        ],
        "type": "object"
      },
      "name": "schema_jsonld_sample"
    }
  ]
}

What the leaf hashes

{"body":"ef720f79ff033392d438a6ed0b1814deb4970ffe568a6fd3a1c55b2a079a2f0f","id":218485,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793026573017115,"prev":null,"subject":"2bfd2a44-780e-4c96-b35a-9d40b63b7ade","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. 0x398f9588a3489e56428110d336962a78f02316a7a0488fdeb29d0964a8a705e7
2. 0x17fc9003d3e74f60e49d4505cd98ab7b7047144f52d2654ae23162e4d03ef99b
3. 0xb1e68f87c04622800ae6b53c4360380e642a94fabda8caf131e0efdb3eda35d8
4. 0x31b3d82a8a5a5cf4c6c508cec2fbbf7fb7ba8a55d192767d4eba512e6dfc413d
5. 0x8a0b0762a6d5e5694c12c84a86c1d8aa5f04a47407c759469f94e2fd19cf2d68
6. 0x2c0f81bbaeb6d3929bd92df17989d33074cca14e3a22a6f026fa0c894ffcc6aa
7. 0xb3f517174b40dbdba6ee863c72f69d59b0aef7c563867ba88a668d1ab1f6ae47
8. 0x621b8bcec6518d5170586a2d2ed73cd67bcc0170afd3e95839d004dddcfc5323
9. 0x421e7e79142f88fd07b2b2c4d99a68e8be84eb9e0d9dd85e4c0332bdf1f0c1c1
10. 0x523b8ac4b1e261a073661101852ada4310c46af0ed03f362d2ef83a301a47101
11. 0x04a1aa6c1d916326b08791d1568a512f10ac6aaee806ec4073570b0a6b1b64af
12. 0x18cc4431e4bbe45ee72defb9bb3318434364bf71c883055c6197fa7102ec601a
13. 0xe2214b3d6a48396930d1739b02ea366de2aac5337c9b9ff2aff28cecf6518139
14. 0x7f594f5609f388d64d3cda87b5631d393ee8300bb09bad71f150113a5886ee33
15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae