Evidence row 220721

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Fetch detailed information for a single AI use case by RowKey/id.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "Alias for row_key.",
            "type": "string"
          },
          "row_key": {
            "description": "The RowKey/id returned by search tools.",
            "type": "string"
          }
        },
        "required": [
          "row_key"
        ],
        "type": "object"
      },
      "name": "get_usecase_details"
    },
    {
      "description": "Search AI use cases with hybrid full-text and vector ranking. Supports provider, industry, geography, technology, customer, partner, and boolean case-type filters.",
      "inputSchema": {
        "properties": {
          "cloud_provider": {
            "description": "Microsoft, AWS, GCP, or comma-separated values.",
            "type": "string"
          },
          "country": {
            "description": "Filter by country code, for example US or GB.",
            "type": "string"
          },
          "customer_name": {
            "description": "Filter by the company adopting AI.",
            "type": "string"
          },
          "industry": {
            "description": "Filter by the deployment industry.",
            "type": "string"
          },
          "isAgentCase": {
            "description": "Filter for AI agent deployments.",
            "type": "boolean"
          },
          "isAvatar": {
            "description": "Filter for AI avatar deployments.",
            "type": "boolean"
          },
          "isCopilot": {
            "description": "Filter for copilot deployments.",
            "type": "boolean"
          },
          "isFineTuning": {
            "description": "Filter for model fine-tuning deployments.",
            "type": "boolean"
          },
          "isMicrosoftFabric": {
            "description": "Filter for Microsoft Fabric deployments.",
            "type": "boolean"
          },
          "isMultiAgentCase": {
            "description": "Filter for multi-agent deployments.",
            "type": "boolean"
          },
          "isRag": {
            "description": "Filter for retrieval-augmented generation deployments.",
            "type": "boolean"
          },
          "isSustainabilityCase": {
            "description": "Filter for sustainability use cases.",
            "type": "boolean"
          },
          "isVision": {
            "description": "Filter for computer vision deployments.",
            "type": "boolean"
          },
          "isVoice": {
            "description": "Filter for voice AI deployments.",
            "type": "boolean"
          },
          "limit": {
            "default": 10,
            "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "partner_name": {
            "description": "Filter by implementation partner.",
            "type": "string"
          },
          "query": {
            "description": "Natural-language query.",
            "type": "string"
          },
          "technologies_used": {
            "description": "Filter by technology name.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "hybrid_search_usecases"
    },
    {
      "description": "Search curated AI use cases using the default hybrid ranking. Use this when an agent has a natural-language search term.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 10,
            "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Alias for search_term.",
            "type": "string"
          },
          "search_term": {
            "description": "Natural-language search term.",
            "type": "string"
          }
        },
        "required": [
          "search_term"
        ],
        "type": "object"
      },
      "name": "search_usecases"
    },
    {
      "description": "Semantic vector search for AI use cases using the meaning of the query text.",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 10,
            "description": "Maximum results requested. Public previews return at most 3; personal-key access permits up to 20.",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "Natural-language query.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "vector_search_usecases"
    }
  ]
}

What the leaf hashes

{"body":"c1374f6690738b8764d7a2ba58f0550ebf6c5e3eca162d72071a8348a540307a","id":220721,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793026856912318,"prev":null,"subject":"e590ac8c-c3a9-4463-8236-f4d9a48f7b91","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. 0x4ebd9598a973dc85de720fbaf25332fa61a15a37ae382d41d03111ef6c716a4c
2. 0x6efe6b2e711429a11befe817a16611fec9e432e931da8f93d3f6893c38bdbd37
3. 0xaf8b62c526cb3dc9aed179c56287e0abe900d5ce716b04a8eff9d40badb7db87
4. 0xa506d7cfbdfd5ed1a707ee77810ae949b9d7f208943600d1de78876eebb99204
5. 0x7fbe905220639467bf627df0382b102d9e934cb537d5f886fa7c227d4af26d9e
6. 0x69bd71c97d9c816fa500a4f250368e6c85b53dc2e7afc6d463357f586cb8454d
7. 0x66d0e30d2c2a19bcad4c34e6827e954004d5ef744f568d9b62832d0d5316baa5
8. 0x5c3ca9a2d4a67d555f96a4f271664f7c400894f1575b2aa793ff7691d1f01a8f
9. 0x7463bd78363bf2cd2c5fdb24b12be1195912ca04e7b8d9bc519edcfad0a32444
10. 0x3c2a519207c7fbe7025a4c98d41e42ecc9446b3fb0b1dbff629a91c8c74e0781
11. 0x20ba86fd56bddd46212d02e792b969e90a1167c4fb9ba4a54cb7da5cf7da1629
12. 0xaf14a84837a57dc5a0cb0ebd158daaad24c19301b9257d9e97c322a7d8c54bc0
13. 0xf7d2cf278e5d2768b8bdb70730c378877cf7165d8efcbec8bcd3282fdc50d177
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

Not published on a chain yet