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Evidence row 223038

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 27f54a69-7591-4201-8e32-8a5d47602b47
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
fc6daf6d69f30f787bc8eb88bd8b00af53b4263c47bc1fe45d539c34ec1b204b
Leaf
0xd6bdf40f6ff9ed863605411f46b462ee9d478209cf4c583f2876110bb1300f1a

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.",
      "inputSchema": {
        "properties": {
          "businessName": {
            "description": "Optional, non-sensitive business name for context.",
            "type": "string"
          },
          "businessSize": {
            "description": "Size of the business/organization.",
            "enum": [
              "solo",
              "micro",
              "small",
              "midmarket",
              "enterprise"
            ],
            "type": "string"
          },
          "dataMaturity": {
            "description": "Availability and maturity of the structured/machine-readable data of the business.",
            "enum": [
              "none",
              "basic",
              "developing",
              "structured",
              "advanced"
            ],
            "type": "string"
          },
          "goals": {
            "default": [
              "ai_visibility"
            ],
            "description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum).",
            "items": {
              "enum": [
                "ai_visibility",
                "lead_generation",
                "trust_authority",
                "content_coverage",
                "conversion_optimization",
                "structured_data",
                "agent_readiness",
                "reputation_management"
              ],
              "type": "string"
            },
            "maxItems": 8,
            "minItems": 1,
            "type": "array",
            "uniqueItems": true
          },
          "industry": {
            "description": "Optional industry/category for context.",
            "type": "string"
          },
          "technicalStack": {
            "description": "Technical stack / infrastructure sophistication.",
            "enum": [
              "minimal",
              "standard",
              "modern",
              "advanced"
            ],
            "type": "string"
          }
        },
        "required": [
          "businessSize",
          "dataMaturity",
          "technicalStack"
        ],
        "type": "object"
      },
      "name": "assess_ai_recommendation_readiness"
    },
    {
      "description": "Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_ai_readiness_framework"
    }
  ]
}

What the leaf hashes

{"body":"fc6daf6d69f30f787bc8eb88bd8b00af53b4263c47bc1fe45d539c34ec1b204b","id":223038,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793028454155068,"prev":null,"subject":"27f54a69-7591-4201-8e32-8a5d47602b47","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xd6be13bd29b7846257873bb72519e3273f6668856780aedc6a4e96b007174dd3
  2. 0x05366529b2adfb7d6a96d2124719755bae43e0c940671e0651399a91a941d784
  3. 0x211e6a2a2e833586fe51b8a7c560bd662bc42aff340f287f11669864f6628bf9
  4. 0x6154589d6880bdd51397e7766413b9caa5ddcf0601a9fa6a11b084c5c6f3b340
  5. 0x7606dc4c191bfffbb2a1b464b0d5b732cc77f8df9c23466c7500b8b6c548c869
  6. 0x2db084752450f390c848de0faa12cac88e8765478c13f23f0e1182db260da1dd
  7. 0xc763f93c4c158d067d26bd15e9c4ec80f2c789bf24f4ba52cb268d41a45220c0
  8. 0xd5590d37492ac81c39ed3bd87c260bf7ee4ce3062d96c3d92067cffd6c64b691
  9. 0xde37e1c61fb56d2fb64b312bc2dca9ef36f67f5d5bbeff3bcb10d2813b51bc09
  10. 0xf226be7a40555e1c0639dcbf0c0dae400939299db6fb2a8e4eb2b5866510dc29
  11. 0x993ee5fd278bf116928331fbf1ccabe7ebb40d4f5e12235f09eee4dcb29676aa
  12. 0x39d84ffb833c94bfff15760ea7da987f5303e407884de386d5a33b2328c7d785
  13. 0x3199db04c2c73c3483386a86bf503eafde5af103465608156e2e5f42e72a6fbe
  14. 0x6b927d53caa5125cdba9255612d524976c691f8672796c3f0885ba2c5b3af1ad
  15. 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON