Evidence row 290895

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Extract JSON embedded in arbitrary text — LLM prose, chat messages, logs, emails — then repair and validate it. Deterministic extraction is free. If no JSON can be located and allow_llm_fallback is true, a paid LLM extracts structured data from the text (requires x402 payment; charged only on success). Pass a JSON Schema to shape the output.",
      "inputSchema": {
        "properties": {
          "allow_llm_fallback": {
            "default": false,
            "description": "Permit the paid LLM extraction tier",
            "type": "boolean"
          },
          "input": {
            "description": "Text that may contain JSON",
            "type": "string"
          },
          "schema": {
            "description": "Optional JSON Schema the output must conform to",
            "type": "object"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "extract_json"
    },
    {
      "description": "Infer a JSON Schema (draft 2020-12) from an example JSON value. Free and deterministic. Set as_samples=true when the input is an array of example objects of the same shape to merge them into one schema. Turns sample agent/tool output into a reusable schema.",
      "inputSchema": {
        "properties": {
          "as_samples": {
            "default": false,
            "description": "Treat a top-level array as multiple samples of one shape",
            "type": "boolean"
          },
          "input": {
            "description": "A JSON value (or array of samples) to infer a schema from",
            "type": "string"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "infer_schema"
    },
    {
      "description": "Repair malformed JSON (trailing commas, single quotes, truncation, markdown fences, comments, python literals) and optionally validate/coerce it against a JSON Schema. Deterministic repair is free. If it fails and allow_llm_fallback is true, a paid LLM repair is attempted (requires x402 payment; charged only on success).",
      "inputSchema": {
        "properties": {
          "allow_llm_fallback": {
            "default": false,
            "description": "Permit the paid LLM repair tier",
            "type": "boolean"
          },
          "input": {
            "description": "The possibly-malformed JSON text",
            "type": "string"
          },
          "schema": {
            "description": "Optional JSON Schema the output must conform to",
            "type": "object"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "repair_json"
    },
    {
      "description": "Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.",
      "inputSchema": {
        "properties": {
          "input": {
            "description": "The JSON text to validate",
            "type": "string"
          },
          "schema": {
            "description": "The JSON Schema to validate against",
            "type": "object"
          }
        },
        "required": [
          "input",
          "schema"
        ],
        "type": "object"
      },
      "name": "validate_json"
    }
  ]
}

What the leaf hashes

{"body":"74a04ad6eef8d4ce55a943b54b62c4c74ba151233397e581ad0011c9d82c4231","id":290895,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793047626158695,"prev":null,"subject":"cea70a88-7c35-429c-a41f-a61159e27726","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. 0x157a6a368b43701aa8c980d3e7e09e4300db2b257221c7a3c545d4ec33060468
2. 0x457b71330f18232726db9775c09ac1f90ff595873bec82b8fb0e549d938685dd
3. 0x68f9f87bbb06ba98b2f1023924d3ed759afaa10adf7889e23283ecc7d993fca3
4. 0x2112a880d4369caf7a14e2e7759723584560e9a5eb11a5f4290675a5967121d3
5. 0xf27bc2d7bb3da37fb82933d3272658b5d7bbd16545d037019a030937dd85271f
6. 0x26ab110e146a664a1eb82e317a2eba0f0ef7b057f6ae3b92a1c1a5739d372c3f
7. 0xe0297e5af2a91771abe48c0601f49e92170c28fb986038ed72948f8bb3e008b2
8. 0x5e3d0fc793909dcd17d3954f61c2267244dbb58307c4038412b5560308363f21
9. 0x797f34f7e2fd34b2f69435d539960cab8f5c7cd17e1f5b0b2d9b2f39137d523a
10. 0x62971446cc50312a1295d5bf772913e17639cbd732dd41883c8dea522d4637e8
11. 0xb5d5212c69fb335bad2409aa4a0da0469cc6cc62939ca82d5235005f3b154a2b
12. 0x2412cb8bc4d10d94e1eb907d5058dd12133e55416609e1b314e811af76620542
13. 0xff1c28bdf595a3d1333e9915edc68e9c5fded7bd5923fa85870979af34cbc3b3
14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae