Evidence row 561990

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Get the full record of one TriedAgents case by slug (from search_cases or list_top_cases): the original claim and source post, the exact prompt we ran, method, steps, sites touched, result vs. ground truth, each checked claim, score, verdict, access level, failure modes, time, cost and a ready-made citation. Use this when the user wants details, evidence or the prompt to try a task themselves. Cite TriedAgents and link the case page url as returned.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "slug": {
            "description": "Case slug, e.g. 'btc-4h-breakout-check'. A full triedagents.com case URL also works.",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_case"
    },
    {
      "description": "List TriedAgents' case categories (with counts and page urls) and explain the rating rubric: verdicts V2/V1/F/V0, the score out of 10, and access levels L0-L4. Use this to understand the ratings or to pick a category filter for search_cases.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_categories"
    },
    {
      "description": "List TriedAgents cases ranked the way the site ranks them: reproduced (V2) first, then partly reproduced (V1), failed (F), not yet run (V0); higher score first within a verdict. Use this for 'what can AI agents reliably do?', 'best agent use cases' or 'what failed?' questions, optionally within one category or access level. Cite TriedAgents and link each case page url as returned.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Optional topic: Travel, Money, Shopping, Life admin or Research.",
            "type": "string"
          },
          "limit": {
            "default": 5,
            "description": "Max results (default 5).",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "max_access_level": {
            "description": "Optional: only cases needing at most this access level.",
            "enum": [
              "L0",
              "L1",
              "L2",
              "L3",
              "L4"
            ],
            "type": "string"
          },
          "verdict": {
            "description": "Optional: only these verdicts, e.g. ['F'] for failures.",
            "items": {
              "enum": [
                "V2",
                "V1",
                "F",
                "V0"
              ],
              "type": "string"
            },
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "list_top_cases"
    },
    {
      "description": "Search TriedAgents' library of AI-agent use cases that were re-run and rated. Use this when the user asks whether an AI agent can really do a task (e.g. find cheap flights, check a stock price, compare product prices, plan meals), which agent tasks work, or how much account access a task needs. Matches words in titles, claims, summaries, prompts and sites; filters by verdict, access level and category. Leave query empty to list all cases matching the filters. Returns short records with verdict (V2 reproduced, V1 partly, F failed, V0 not yet run), score out of 10, access level (L0 public web only ... L4 spends or deletes) and the case page url. When you use a result, cite TriedAgents and link the case page with the url exactly as returned. Call get_case for the full prompt, steps and evidence.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "access_level": {
            "description": "Only these access levels (L0 public web only, L1 reads your data, L2 private edits, L3 acts as you, L4 spends or deletes).",
            "items": {
              "enum": [
                "L0",
                "L1",
                "L2",
                "L3",
                "L4"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "category": {
            "description": "Topic: Travel, Money, Shopping, Life admin or Research (labels like 'Travel & trips' also work).",
            "type": "string"
          },
          "limit": {
            "default": 8,
            "description": "Max results (default 8).",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "max_access_level": {
            "description": "Only cases needing at most this access level, e.g. L0 for no-login tasks.",
            "enum": [
              "L0",
              "L1",
              "L2",
              "L3",
              "L4"
            ],
            "type": "string"
          },
          "query": {
            "description": "Keywords describing the task, e.g. 'flight prices', 'crypto breakout', 'meal plan'. Optional.",
            "type": "string"
          },
          "verdict": {
            "description": "Only these verdicts: V2 reproduced, V1 partly reproduced, F failed, V0 not yet run.",
            "items": {
              "enum": [
                "V2",
                "V1",
                "F",
                "V0"
              ],
              "type": "string"
            },
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "search_cases"
    }
  ]
}

What the leaf hashes

{"body":"447234f5ecc14b6ec6a1c5f5bb48084facc80a498fefaf2c742d620e1decde3c","id":561990,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793137282009899,"prev":null,"subject":"97fb2db6-daf4-4d95-a46b-0e9d2e6de015","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x8b615df463ddd6ec9f8e2317ef49f719a95144ed1c0dbcccde034abdb247b7a3
2. 0xdbe5f3abf4ace3268ed8de16f75af4fdd4355d6f681b91b393a9cef9cdba8a53
3. 0x92ea62e5d37a7930eed3cdb06556e37bb04ccca8378193ef178aa6fd4e602831
4. 0x8b24ef30e5c8a3848ca4059a43faa89c5330b0734fc3ca14cc411899020b7160
5. 0x2ab24beb8db1d6b328db98ca1cb3dab7dcbae60b2838e3aee94b3e2cc4941181
6. 0xc23db956da1292ceacd332d39fe395074a508e34b76dff57a4fa78624e9f996c
7. 0x127a253c818f2603f14457f0446a2e6982d0df870cf1be24513cf526bae04e50
8. 0x2676dc58c29b57cb2817c0151403dc24e58a5a34c1becf24ca6ac4405e87c85a
9. 0x99b01bef41262ecb316da1cd26555fe5e71cea4a9366fd27557efd57e81ae426
10. 0x0ca30ec94337e2e0b4a0b00e9e5686108240f05cc6751241e417346db4380f8d
11. 0xcdbeb854b5cb2391772ef949ab5c1e3c24cc8221d97cd112ccb987b02e3d89da
12. 0xe9b891332733aa3fa69ace7f82b036df13816078968e2c10034f79c2255498d0
13. 0xea3d566bf95ca7a3a7f6de9c4f77180bd8c5ffd160486a27d870e8a2fb6d0b9e
14. 0x06e3b43165f5b3c31d850bc32f20b2e25b844564c4e042c141b9748c26a5a600
15. 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
16. 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4