Evidence row 984385

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 15 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":"2f668431771dcec8a2802abedc995cfaa713e34f3d1aaea0d24383540d35875a","id":984385,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793238470021202,"prev":218485,"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 2026-10-29 (242798 rows).

1. 0x109c82b21c96b542da906ccceee5defe2308b4096c74e3787dba1673819e705f
2. 0x663922894d1419a7beb885704a0bff6b3d21349d31ad77a3d081d58e559fd007
3. 0x539a73b6646655800d414a37f4844932591758a45bb099afaeb29817176e3f02
4. 0xd678cf8234270e4c5aef69d0b04f75e28abfa5919df139d727cdced412146680
5. 0x49e974cb10c6073c98b4141dc52c95fcf3a842359e9707f84a8bc0306b31f15d
6. 0x2ffcafda713c6bfa9fb1dd276e198830b7d54e63499dfafc7ff83ec7dc7863f6
7. 0x5e0fc40a83920dd047c2d0030676527f7ef169cb03888330f3b7f235e42c6492
8. 0x5e3e7427e81ec1c6f364d2dd1960bd21af742f80e6f8e1c164864631bb4dc4c7
9. 0x1c5761f285fc7aff73f53399a1945bc310a9ff0e55e44e10dce81fb0287e5b55
10. 0x4f18429d72aed9c2d1e2629e7d1468c17c2ec4bc9c08bac595a7a5ff8d1bd7a6
11. 0x9804029311ee9b55f01bddd4a02932b618b20dcb0bc1cbe491be106795dba779
12. 0x167cb457e5618956c84193ebb90fd080faba4ab44e43972c970cde45c0c57c49
13. 0x7815c9a292a2f1e0dbdff174b5918aa320852c7e816e376aca0e3ef90e1a01e4
14. 0x7b3add153244183458b4331b4f226a6729ff68c345cedfa75b49586e803bf98a
15. 0x0507b989510de89f78184f7a10d971f7670a579c54df7d291a2d72f034ae74d3
16. 0xa0a7723889a4c15b3e0bec353fa8dbcaec6c71cf35bb6c346415ad3e664df6a6
17. 0xd76435ead496863d8b0bfab3434f54cd11da3c49d104fc4064b9cb3381567bbd
18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1