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Evidence row 305554

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 0791a884-0ee2-4d95-a760-1474bd99a0d8
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9178173d3ff758899d231a6ed2732be53765f090bf57717a79a51ccf691700e4
Leaf
0xd8d86c1d6229b682107a9891954b64706b29f947245c659cd9793efed26ded88

What was observed

{
  "count": 10,
  "tools": [
    {
      "description": "The columns, which of them are numeric, the row count and the provenance banner of the BioBricks dataset. Call this first to learn the schema.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_columns"
    },
    {
      "description": "The rows of the BioBricks dataset whose column is any of the given values, in the order given — for \"X vs Y\" questions.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "values": {
            "items": {
              "minLength": 1,
              "type": "string"
            },
            "maxItems": 10,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "column",
          "values"
        ],
        "type": "object"
      },
      "name": "dataset_compare"
    },
    {
      "description": "The source, the date it was computed, the licence and the citation for the BioBricks dataset. Read this to attribute a figure correctly.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_provenance"
    },
    {
      "description": "The rows of the BioBricks dataset where a column equals a value exactly (case-insensitive).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "value": {
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "column",
          "value"
        ],
        "type": "object"
      },
      "name": "dataset_row"
    },
    {
      "description": "Rows of the BioBricks dataset whose cells contain the query (case-insensitive), up to 50.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "text to look for in any cell",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "dataset_search"
    },
    {
      "description": "count, min, max, mean, median and sum of a numeric column of the BioBricks dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "column"
        ],
        "type": "object"
      },
      "name": "dataset_stats"
    },
    {
      "description": "The highest (or lowest) rows of the BioBricks dataset by a numeric column — \"which is the most/least X\".",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "ascending": {
            "description": "true for the lowest first; default highest first",
            "type": "boolean"
          },
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "column"
        ],
        "type": "object"
      },
      "name": "dataset_top"
    },
    {
      "description": "Read first. States plainly what submit_enquiry does on BioBricks: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_describe"
    },
    {
      "description": "Every field of the BioBricks enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_fields"
    },
    {
      "description": "Submits an enquiry to BioBricks — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: \"Send my contact details to up to three gene synthesis and research supply firms, chosen by BioBricks, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.\"",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "answers": {
            "additionalProperties": {
              "type": [
                "string",
                "number",
                "boolean"
              ]
            },
            "description": "the person's answers, keyed by field key",
            "type": "object"
          },
          "confirmation": {
            "description": "the confirmation token from step 1, after the person has approved the summary",
            "type": "string"
          },
          "consent": {
            "description": "true only when the person has agreed to: Send my contact details to up to three gene synthesis and research supply firms, chosen by BioBricks, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.",
            "type": "boolean"
          }
        },
        "required": [
          "answers",
          "consent"
        ],
        "type": "object"
      },
      "name": "submit_enquiry"
    }
  ]
}

What the leaf hashes

{"body":"9178173d3ff758899d231a6ed2732be53765f090bf57717a79a51ccf691700e4","id":305554,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056516243757,"prev":null,"subject":"0791a884-0ee2-4d95-a760-1474bd99a0d8","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. 0xd8d8a88a6d43b793b6127850352c0026216f1e3084933d27de0f8599d407c613
  2. 0x96cb817a54aee2e7aafdae60504e921386acc886ba73314157e5a85d0ffae033
  3. 0x913b7a9a3c8d5caf84b2b4363c66da0ebc04abe7956dd5c3c854334d3ff93045
  4. 0xffb104664b87c6e891611658ced4065f5d371ed4bb107197642e75594f9cdfb8
  5. 0x96da5d385a8838ca5838292da2a0e2c7fcc5862a872fb09124850b74048b5533
  6. 0xe73bb5ea50edfe8ced90d5aa2b679e862a9ec7c16b6af2b69697177fbefea9b4
  7. 0x744d7d8c42fd8cbfe9e1b0f7c3094d0030ccfa57037517f5b81f4e5f93c065b4
  8. 0x42976d0f83692971c331cc58fe03660741ec11b5c5e957af0ffcbe7048ecb6c7
  9. 0xb70320c30c9047039b9ad7306e3a8f258e2cc47dace4e2c691ca04dbfe0d2131
  10. 0xcced339e83616c17d79611bcc0e7ac8b05c10472b6ca8350f4c914df1195d992
  11. 0xd96796540b8f5b592d8f03fc775e7a26bd00af394ce468ff886a43215a522475
  12. 0x07e91966e8a0c43a0725bd3d523259064a93333c2900e6171b69ffbfd9f423f1
  13. 0xcd9e3af1fa905ec61b99ee9442716d7c7a439aecacd018ec229a24def1cabf6b
  14. 0x6b927d53caa5125cdba9255612d524976c691f8672796c3f0885ba2c5b3af1ad
  15. 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON