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Evidence row 303942

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 55ef9dee-98b2-4ecb-b1cb-3818af57527f
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
3b190d9999d5dd8cb4bf8ab21d513749bf576a80ca4743cd88ea7e3d1efb1daa
Leaf
0x4fd6581d786dbc75624b5d1f094e4101010de98ae56b8cfacabc379d910f800f

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Two EffectHub tool cards side by side — pricing, scores, platforms, API, liveness — plus the differences in plain sentences. When EffectHub has a researched head-to-head page for the pair, comparison_url links to it.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "a": {
            "description": "Slug of the first tool.",
            "maxLength": 96,
            "minLength": 1,
            "pattern": "^[a-z0-9]+(?:[-_][a-z0-9]+)*$",
            "type": "string"
          },
          "b": {
            "description": "Slug of the second tool.",
            "maxLength": 96,
            "minLength": 1,
            "pattern": "^[a-z0-9]+(?:[-_][a-z0-9]+)*$",
            "type": "string"
          }
        },
        "required": [
          "a",
          "b"
        ],
        "type": "object"
      },
      "name": "compare_tools"
    },
    {
      "description": "Everything public on one EffectHub tool card: what it does, category, pricing model and entry price, Effect score, Trust score, platforms, whether it is still alive and when that was last checked, and the card URL. Takes the tool's slug (from search_tools, or the last part of https://effecthub.net/ai/{slug}).",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "slug": {
            "description": "The tool's slug, e.g. \"cursor\".",
            "maxLength": 96,
            "minLength": 1,
            "pattern": "^[a-z0-9]+(?:[-_][a-z0-9]+)*$",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_tool"
    },
    {
      "description": "Tools that do the same job as the given one. Alternatives our research named for this tool come first (basis \"researched\"), then live tools from the same category (basis \"category\"). Discontinued tools are left out.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "default": 10,
            "description": "How many tools to return (1-20, default 10).",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "slug": {
            "description": "The tool to find alternatives for.",
            "maxLength": 96,
            "minLength": 1,
            "pattern": "^[a-z0-9]+(?:[-_][a-z0-9]+)*$",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "list_alternatives"
    },
    {
      "description": "Search the EffectHub catalog of AI tools by product name, job to be done (\"transcribe interviews\") or category (\"video editing\"). Optionally narrow by task slug, category slug or pricing model. Returns published, live tools with pricing, Effect score and a link to each card on effecthub.net.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Optional category slug, as in https://effecthub.net/ai-tools/{slug}. A top-level category includes its subcategories; matched on each tool's primary category.",
            "maxLength": 96,
            "pattern": "^[a-z0-9]+(?:[-_][a-z0-9]+)*$",
            "type": "string"
          },
          "limit": {
            "default": 10,
            "description": "How many tools to return (1-20, default 10).",
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          },
          "pricing": {
            "description": "Optional pricing model: free, freemium, free_trial, paid or contact (sales-quoted).",
            "enum": [
              "free",
              "freemium",
              "free_trial",
              "paid",
              "contact"
            ],
            "type": "string"
          },
          "query": {
            "description": "What to look for: a product name, a job, or a category in plain words.",
            "maxLength": 128,
            "minLength": 2,
            "type": "string"
          },
          "task": {
            "description": "Optional task slug, as in https://effecthub.net/ai-for/{task} (e.g. \"text-to-speech\"). Only tools tagged with it are returned.",
            "maxLength": 96,
            "pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_tools"
    }
  ]
}

What the leaf hashes

{"body":"3b190d9999d5dd8cb4bf8ab21d513749bf576a80ca4743cd88ea7e3d1efb1daa","id":303942,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793055639283196,"prev":null,"subject":"55ef9dee-98b2-4ecb-b1cb-3818af57527f","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. 0x4fd7358462a39d798ad8d696becb0b3fe5a15b76d26896d0d7f1eaa9858493f3
  2. 0x31821420cc54fd924c47d771f52a552d16564365f6ff0a6dedbb25900539a387
  3. 0xa014dc27f9c5d80a4d8f4adb9956d91911424f0cfedd54dc442a7ea760035a46
  4. 0x883d1582611ce5b1584b28d86a086194c50df1363f4600b06a1dbf7573a32882
  5. 0x28fb7bf67f9df9e0e0416b15783b9c61eef69dea300462c77343fbca2a5a40e3
  6. 0x496e1cfb78cd81ba4993a412c7483345d4f8ef5ad6c416836974593b0988a1db
  7. 0x73171347eaa810bb27ad00996576bce2e34a6b918a3a84ef2f7c6223c2ffae7a
  8. 0x0266e29d05770051ef24df4ce283165011c8dbf024bb72a50bbc0dbe9c82f439
  9. 0x445ce47126891ae452ff344da4c7a0fc597f5e37bf48cfbfe047210b0b4b03c4
  10. 0x62c975a2c751182cb374d19834d999a49e29a6df9ba4accfe84ac8b4b21dc54a
  11. 0xe281245a49847bca87f4c96f8da0284eeef688f3f597a62adb2d9089f4385e55
  12. 0xecaf47ba75097c34f2d3c4d62539dace0db8b484bf08941a9259e2d1e8ccea77
  13. 0xf7d2cf278e5d2768b8bdb70730c378877cf7165d8efcbec8bcd3282fdc50d177
  14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
  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