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Evidence row 120566

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://saylorinnovations.com/api/research/dryad
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7a3e0c9931d2801152b905a5eb61ec5beb748dd4538da8ec7785c36eb2e1cd49
Leaf
0xe03858c738a133fc5077d73638ff8d453b67a06e3d36e44825f0868d5f1ad64c

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://saylorinnovations.com/api/research/dryad"
    ]
  ],
  "name": "Saylor Innovations Data Desk",
  "owner_address": "0xa2a8df0f7caabea4e120a2568118f141569fc8aa",
  "raw": {
    "accepts": [
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        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:dryad-datasets",
          "name": "USD Coin",
          "note": "Base settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
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        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:dryad-datasets",
          "name": "USD Coin",
          "note": "Polygon settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:137",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "assetTransferMethod": "eip3009",
          "facilitatorOnly": true,
          "memo": "saylor:datadesk:dryad-datasets",
          "name": "USD Coin",
          "note": "Arbitrum settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:42161",
        "payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
        "scheme": "exact"
      },
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          "memo": "saylor:datadesk:dryad-datasets",
          "reference": "DA9b7jMs9Q2Be6hUbuyoGv6PCiPTvj4BVEVXkYx9bbDA",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpkcnlhZC1kYXRhc2V0cyIsInJlZmVyZW5jZSI6IkRBOWI3ak1zOVEyQmU2aFVidXlvR3Y2UENpUFR2ajRCVkVWWGtZeDliYkRBIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRVBqRldkZDVBdWZxU1NxZU0ycU4xeHp5YmFwQzhHNHdFR0drWnd5VER0MXYiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIzODA0NjU2ODJ9.qrYVsYPjG_xBPKWgalDGuMrrc7YO2BXu2c6X4KMwL8c"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "Es9vMFrzaCERmJfrF4H2FYD4KCoNkY11McCe8BenwNYB",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88",
          "memo": "saylor:datadesk:dryad-datasets",
          "reference": "5ZmWahGFRnWvhfWb4jF8KqTxmC4mjBF7oFMEtmKnnMqC",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpkcnlhZC1kYXRhc2V0cyIsInJlZmVyZW5jZSI6IjVabVdhaEdGUm5XdmhmV2I0akY4S3FUeG1DNG1qQkY3b0ZNRXRtS25uTXFDIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjoiRXM5dk1GcnphQ0VSbUpmckY0SDJGWUQ0S0NvTmtZMTFNY0NlOEJlbndOWUIiLCJtaW5BbW91bnQiOjEwMDAwLCJleHAiOjE3OTIzODA0NjU2ODJ9.5D8Lk-nMdZPRu9dZmIBbn_fQ0rpnGJN8ZgozVmo24AA"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      },
      {
        "amount": "92134",
        "asset": "So11111111111111111111111111111111111111112",
        "extra": {
          "memo": "saylor:datadesk:dryad-datasets",
          "native": true,
          "note": "Native SOL: send lamports with a system transfer, not an SPL transfer. Price is quoted live and this quote expires in 120s.",
          "quotedLamports": "94984",
          "reference": "Ai3oKPdsDfJnHAwYwdzLtgECi8DETYZkXAxMoqgvkphC",
          "session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpkcnlhZC1kYXRhc2V0cyIsInJlZmVyZW5jZSI6IkFpM29LUGRzRGZKbkhBd1l3ZHpMdGdFQ2k4REVUWVprWEF4TW9xZ3ZrcGhDIiwicmVjaXBpZW50IjoiN0xTamZySmY4Zk5zQjhWQTl1N04zV0VuMjVzbVFMcG9iM1N2eVV2WGFjeTciLCJtaW50IjpudWxsLCJtaW5BbW91bnQiOjkyMTM0LCJleHAiOjE3OTIzODA0NjU2ODJ9.635BYdRQYo4AQ_TK4pHGGH8-gZyZ0UQoqTuwQamXKh0",
          "solUsdPrice": 105.28
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
        "scheme": "exact"
      }
    ],
    "description": "Search Dryad open research datasets by topic - DOI, title, authors, abstract, field of science, publication date, size, license and download page",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "limit": "3",
              "q": "climate"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "count": 3,
              "datasets": [
                {
                  "abstract": "Climate-driven biodiversity erosion is escalating at an alarming rate. The pressure imposed by climate change is exceptionally high in tropical ecosystems, where species adapted to narrow environmental ranges exhibit strong physiological constraints. Despite the observed detrimental effect of climate change on ecosyst…",
                  "authors": [
                    "Alejandro de la Fuente",
                    "Alejandro Navarro",
                    "Stephen Williams"
                  ],
                  "doi": "doi:10.5061/dryad.hx3ffbgjj",
                  "field": "Natural sciences",
                  "keywords": [],
                  "license": "https://spdx.org/licenses/CC0-1.0.html",
                  "published": "2023-01-19",
                  "size_mb": 0.7,
                  "title": "The climatic drivers of long-term population changes in rainforest montane birds",
                  "url": "https://datadryad.org/dataset/doi:10.5061/dryad.hx3ffbgjj"
                },
                {
                  "abstract": "Aim The increasing frequency and intensity of extreme weather escalate the pressure of global warming on biodiversity. Globally, synergistic effects of multiple components of climate change have driven local extinctions and community collapses, raising concern about the irreversible deterioration of ecosystems. Here, …",
                  "authors": [
                    "Alejandro de la Fuente"
                  ],
                  "doi": "doi:10.5061/dryad.m63xsj44h",
                  "field": "Biological sciences",
                  "keywords": [],
                  "license": "https://spdx.org/licenses/CC0-1.0.html",
                  "published": "2022-10-25",
                  "size_mb": 1.8,
                  "title": "Climate change threatens the future of rainforest ringtail possums by 2050",
                  "url": "https://datadryad.org/dataset/doi:10.5061/dryad.m63xsj44h"
                },
                {
                  "abstract": "A shallow, seasonal snowpack is rarely homogeneous in depth, layer characteristics, or surface structure throughout an entire winter. Aerodynamic roughness length (z0) is typically considered a static parameter within hydrologic and atmospheric models. However, observations have shown that z0 is a dynamic variable, ne…",
                  "authors": [
                    "Jessica Sanow",
                    "Steven Fassnacht"
                  ],
                  "doi": "doi:10.5061/dryad.80gb5mm35",
                  "field": "Earth and related environmental sciences",
                  "keywords": [
                    "Snow",
                    "Snowpack roughness",
                    "hysteresis"
                  ],
                  "license": "https://spdx.org/licenses/CC0-1.0.html",
                  "published": "2025-10-23",
                  "size_mb": 19121.6,
                  "title": "Dynamic snow surface aerodynamic roughness lengths (z0) characterized by snow depths using LIDAR",
                  "url": "https://datadryad.org/dataset/doi:10.5061/dryad.80gb5mm35"
                }
              ],
              "query": "climate",
              "source": "Dryad open research data repository (CC0)",
              "total_matches": 9818
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "limit": {
                      "description": "optional 1-25, default 8",
                      "type": "string"
                    },
                    "q": {
                      "description": "Search text",
                      "type": "string"
                    }
                  },
                  "required": [
                    "q"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "count": {
                      "description": "Number of items returned",
                      "type": "number"
                    },
                    "datasets": {
                      "description": "Datasets with DOI, title, authors, abstract, field of science, publication date, size, licence and keywords",
                      "items": {
                        "properties": {
                          "abstract": {
                            "description": "Abstract text"
                          },
                          "authors": {
                            "description": "Author names"
                          },
                          "doi": {
                            "description": "Digital object identifier"
                          },
                          "field": {
                            "description": "Field of science",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "keywords": {
                            "description": "Keywords or key phrases"
                          },
                          "license": {
                            "description": "License identifier"
                          },
                          "published": {
                            "description": "Publication date"
                          },
                          "size_mb": {
                            "description": "Size mb"
                          },
                          "title": {
                            "description": "Title"
                          },
                          "url": {
                            "description": "Canonical URL"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "query": {
                      "description": "The query as the server interpreted it",
                      "type": "string"
                    },
                    "source": {
                      "description": "Data source the values come from",
                      "type": "string"
                    },
                    "total_matches": {
                      "description": "Total number of matches before any limit is applied",
                      "type": "number"
                    }
                  },
                  "required": [
                    "query",
                    "datasets"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "json",
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791811517/bazaar-icons/bc5e2b3d111ebbef.jpg",
    "lastUpdated": "2026-10-19T03:25:45.718Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-19T03:25:45.464Z"
    },
    "resource": "https://saylorinnovations.com/api/research/dryad",
    "serviceName": "Saylor Innovations Data Desk",
    "tags": [
      "find open research data",
      "dryad dataset doi search",
      "ecology datasets cc0",
      "datasets published with papers",
      "research data repository search"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Search Dryad open research datasets by topic - DOI, title, authors, abstract, field of science, publication date, size, license and download page"
}

What the leaf hashes

{"body":"7a3e0c9931d2801152b905a5eb61ec5beb748dd4538da8ec7785c36eb2e1cd49","id":120566,"kind":"listing","method":"baseline/1","observed_us":1793025618242506,"prev":null,"subject":"x402_bazaar:https://saylorinnovations.com/api/research/dryad","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xe038fbbe5ba6493f7d6ea1480cef8a50f16ab0a4e52e9089373f2d2b4780c7c8
  2. 0x0e823b0c80c694523fcdf4f2a2110ecc8f71d704ad6c085a1b04250218b97c99
  3. 0xff883566d0c497fb072acdb9c4b56a9b08d94a38e641a4e3afaa302bfb2968c7
  4. 0xef9f8c57b46c24768f59a52c14507504128460b6fefd5c73aa248a8da4e433ee
  5. 0xdfb31461b5144c06ec2106521097cf03271553504a8ae9672d0059369b1da0f3
  6. 0x34edc9e06c9d5a620339b8cc91056b9790497af04d4778007f8187009ad7ce7d
  7. 0xa102e037923039c79ef4fbc1c76ed2d5cc9cab417fe41508ac2c541ab6267998
  8. 0xe49cc5b3be9f52c74090709ee02147c1c996eaf6b53267252117683453d748cd
  9. 0x16cb4ca51ff0730975eeaffa7ef65a08bd9a5708a11cdafec5b59f6ceff66b02
  10. 0x6ff4120b0309d1afe829772edab6c960527c15f95727cac1d6a063da5f24cd85
  11. 0x07a6fcdebada154e3a5a086ae2c78ad003011940759e5f38c005cc9b2ec3ef9d
  12. 0x1cde596bd397df62b2525df79e5a761af7d1a292cbcfd283ea8977aecf9334e7
  13. 0x3fcdf7fa32ccefe771eb57ae3015142065d64e3ce732fea7d11b9a3c99dde44f
  14. 0x0b7541c75cc482a7134110311d7dbd02095d969ba21177de9b21a52a55981718
  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