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Evidence row 290675

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 133e9983-0c42-4f99-a03a-a212832ff73a
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
87dfaa2560e4bda7a59d9f0949dfac62d9032d7d18f6e254c4877cfe15fe9448
Leaf
0x0432b2cba58d83dd36175eecb63d35c7fffc7876c68129702dbad1a1e0c7801a

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Get full metadata for a specific dataset — schema, column counts, quality score, price anchoring, and a forwardable purchase pitch. Includes a checkout_url for one-click human purchase and a human_pitch field for operator messaging.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset_id": {
            "description": "The dataset ID to retrieve",
            "format": "uuid",
            "type": "string"
          }
        },
        "required": [
          "dataset_id"
        ],
        "type": "object"
      },
      "name": "get_dataset"
    },
    {
      "description": "Preview sample rows of a dataset to verify it contains the expected columns, format, and quality. Returns a signed download URL for ~50 rows plus the schema. Pass an optional question to get a synthesized answer from the sample (e.g. \"average price in 2024\") — no purchase required.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset_id": {
            "description": "The dataset ID to preview",
            "format": "uuid",
            "type": "string"
          },
          "question": {
            "description": "Optional natural-language question to answer from the sample (e.g. \"average rent in SF\", \"count of records per state\"). Returns a synthesized_answer field with deterministic aggregates if the question matches a simple pattern.",
            "type": "string"
          }
        },
        "required": [
          "dataset_id"
        ],
        "type": "object"
      },
      "name": "preview_sample"
    },
    {
      "description": "Search the DataBazaar marketplace for datasets matching a natural-language query, with optional filters for category, price, quality score, and pricing type. Returns ranked listings with prices, quality scores, and checkout URLs. When results are empty, log_data_gap can post a bounty to signal demand to sellers.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "category": {
            "description": "Filter by category: geographic, pricing, sensor, images, text, financial, scientific, social, retail, other",
            "type": "string"
          },
          "limit": {
            "default": 10,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "max_price": {
            "description": "Maximum price in USD — omit to include all prices",
            "type": "number"
          },
          "min_quality_score": {
            "description": "Minimum assessed sample structure score (0-100); unassessed listings are excluded. See https://databazaar.io/quality for the rubric and limitations.",
            "maximum": 100,
            "minimum": 0,
            "type": "number"
          },
          "pricing_type": {
            "enum": [
              "buy_it_now",
              "auction",
              "hybrid",
              "free"
            ],
            "type": "string"
          },
          "query": {
            "description": "Natural language search query describing the data needed",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_datasets"
    }
  ]
}

What the leaf hashes

{"body":"87dfaa2560e4bda7a59d9f0949dfac62d9032d7d18f6e254c4877cfe15fe9448","id":290675,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793047473276156,"prev":null,"subject":"133e9983-0c42-4f99-a03a-a212832ff73a","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. 0x04328c515ba1a929b3c482c78589571c78697c7d8c6eef64efe900cbce6923e8
  2. 0xcb97ab7e221fc4aa9669ede139f3c0be7f99edd71e6fe24aa31ff11a948f04d8
  3. 0xe2782d28ab956deb8ae048aec97b98d28f27aa524b3a9c7f603306328e05ec01
  4. 0x15ab30069079c96b7bb9a4d3514cef45cf8a6fdb13b1811d33efa7cfc7de8495
  5. 0x95023ec49023a1f6be968fd57043bbf918f5b08aad17599568b2b99ddc463560
  6. 0xc7c73722fc5f14ac1541e6966ed8eb21b9c0bab18e51f3db139e1a2adce8e28e
  7. 0x178e0d6b8abb934955789e52a9d260eacc3d8d6d2f56cf56e3c720722c7dd850
  8. 0xa683e342e3d46ee9c7d106e879450c34e47a68fdb474ea836e673496a6dfa335
  9. 0x0f58054eee3167ffa703c7e354e54aa9405cb3f514caf06ce2ee9fb51eb1a904
  10. 0x28efbda3043fe0ad6931419f72618781ad3b289c046ef258b300ab314d01bde2
  11. 0x0dadbaadc61f6ee6be4586a11afb533e54da3f5fef5c8ec2ecba1bfa573ce6d3
  12. 0x23033d81d9f4be06225e4276d276e0e8e02abc173d156a1b9a8fd5e4803ad199
  13. 0x610fdf3e989af0a6b4a400a3a8aab9156d757f8c96efe4e9d0594dfd04de1cc0
  14. 0xd1d3499072edb10edc68f84bcae2365d2ab534df689250cab18c751b6f13b6ff
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON