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Evidence row 258146

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 4aa74512-8bb4-4392-915d-bcb303be2069
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d7069c3d8a8840d42a8e9242418e1a372edff8704e65d2092ae41c16a8e84f65
Leaf
0x4c2ab00d1a9c6528b368723a40799c7ed35fb261168fd0a9259f7d6016213046

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Check consistency across multiple LLM responses",
      "inputSchema": {
        "properties": {
          "responses": {
            "description": "Array of responses to compare",
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "responses"
        ],
        "type": "object"
      },
      "name": "consistency_check"
    },
    {
      "description": "Detect quality drift between current and previous LLM responses",
      "inputSchema": {
        "properties": {
          "currentResponse": {
            "description": "Current LLM response",
            "type": "string"
          },
          "previousResponse": {
            "description": "Previous LLM response",
            "type": "string"
          },
          "threshold": {
            "description": "Drift threshold (0-1, default: 0.15)",
            "type": "number"
          }
        },
        "required": [
          "currentResponse",
          "previousResponse"
        ],
        "type": "object"
      },
      "name": "drift_detector"
    },
    {
      "description": "Pattern-based heuristic risk scoring for LLM responses (0-100). Detects linguistic signals such as contradictory assertions, unsourced claims, and uncertainty markers. Not a semantic hallucination detector.",
      "inputSchema": {
        "properties": {
          "context": {
            "description": "Reference context for grounding",
            "type": "string"
          },
          "response": {
            "description": "LLM response to analyze",
            "type": "string"
          }
        },
        "required": [
          "response"
        ],
        "type": "object"
      },
      "name": "hallucination_scorer"
    },
    {
      "description": "Validate LLM response quality based on length, format, and structure",
      "inputSchema": {
        "properties": {
          "maxLength": {
            "description": "Maximum response length (default: 10000)",
            "type": "number"
          },
          "minLength": {
            "description": "Minimum response length (default: 10)",
            "type": "number"
          },
          "response": {
            "description": "LLM response to validate",
            "type": "string"
          },
          "strictFormat": {
            "description": "Enforce punctuation and capitalization",
            "type": "boolean"
          }
        },
        "required": [
          "response"
        ],
        "type": "object"
      },
      "name": "quality_validator"
    },
    {
      "description": "Validate JSON response against schema",
      "inputSchema": {
        "properties": {
          "response": {
            "description": "JSON response to validate",
            "type": "string"
          },
          "schema": {
            "description": "JSON schema definition",
            "type": "object"
          }
        },
        "required": [
          "response",
          "schema"
        ],
        "type": "object"
      },
      "name": "schema_enforcer"
    }
  ]
}

What the leaf hashes

{"body":"d7069c3d8a8840d42a8e9242418e1a372edff8704e65d2092ae41c16a8e84f65","id":258146,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793029961596543,"prev":null,"subject":"4aa74512-8bb4-4392-915d-bcb303be2069","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. 0x4c2b25d15eb1dd5bca0adde775301ba1adeb485240a669e1e6c8bfe18dd834cf
  2. 0xadad7e8d554bcd56511bc656e8eaa1f7f6067f299293bb1c43a54544cdb520b6
  3. 0x4b16cbff9f1fc3c220c4b9250901e4d90f568d756440746a6458d5c915f5a11d
  4. 0x29f403d0e24e546f3f717005a4190b4083eaf597565ff3f01f97be102c2c6e1c
  5. 0x70e69d04b8bab20d9be9913ce87fd445dd3009f3185c2d0eb57b80a1971b276b
  6. 0x3dcc1c82607366cb79316f7cb5ada9fbc7507959d6a2bf3e118d890dbdaf62a9
  7. 0x436c622addcf1bdb3331924e22b9432b6b92d496067cdc56475f155eb4f60924
  8. 0xbb1c9345486ad662c5120c7fe86bf9130dbe9428f6cd9edd7212dc767e022df1
  9. 0xd94cbc3ad37ad415a29ffaccb46b6427a862230c72d0f12802209114d0a5cfbb
  10. 0x5e5595f403ae2f6e6bc3afc146009e77398a17f4b51a39a54f14d6f8a2b599cb
  11. 0x8e1dce5acc3a34df8e5fee91635037c0b87740a313eb455495b8fa04b41070e7
  12. 0x67ae8949b58cb7b0dd4cfa0f9aeeee715e0ae6b87fef0ba46483bbf280004c53
  13. 0x1ffd24a0422348bb2305058cc138e276511e1c074bf8139af5b773941f0e5de2
  14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
  15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON