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Evidence row 67364

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.mekler.ai/v1/research/papers/find-research-papers
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
f6806661c2eccb90ae8ac5baf40cf5f1b085aefd23062419a0928550ee5b2f31
Leaf
0x6f9f826b13683476d3df7588c4383b1115509f01eacf974a4bd971b9faea671e

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.mekler.ai/v1/research/papers/find-research-papers"
    ]
  ],
  "name": "Mekler AI",
  "owner_address": "0xf6c6e2e530bb311c14a49c1a07c720fc232c07c5",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb",
          "meklerQuote": "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.c31337bcb65668b5c1fce26e3c105b13d85ff3cac6e5220a3e4eab37f73816b3",
          "memo": "m:wxM3vLZWaLXB_OJuPBBbEw"
        },
        "maxTimeoutSeconds": 60,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "9mMDrHabSf73MPn1ANdANSmsNw2wKiqE7JZ7eD6EUSRc",
        "scheme": "exact"
      },
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "meklerQuote": "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.70add292459ce033d17ea4b5d931750e6d79959734ad01bd1ed555204886200c",
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0xF6c6E2e530bb311c14a49C1a07C720fc232c07c5",
        "scheme": "exact"
      }
    ],
    "description": "Academic paper search by topic or seed DOI/OpenAlex ID. Return ranked publication metadata with identifiers, source provenance, conservative duplicate/version grouping and reported retraction flags from OpenAlex and Crossref. Filter by publication year; retrieve up to 20 results. No abstracts, full text, author identities, exhaustive literature review or quality/retraction clearance.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "limit": 5,
              "query": "graph neural networks",
              "request_id": "paper-search-example-001"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "cost": {
                "charged_supplier_usd": 0,
                "hosting_cost_usd": null,
                "openalex_list_price_usd": 0.001,
                "source_attempts": [
                  {
                    "elapsed_ms": 0,
                    "list_price_usd": 0,
                    "operation": "search",
                    "source": "crossref",
                    "state": "ok"
                  },
                  {
                    "elapsed_ms": 0,
                    "list_price_usd": 0.001,
                    "operation": "search",
                    "source": "openalex",
                    "state": "ok"
                  }
                ],
                "supplier_access": "anonymous free allowance; no paid balance"
              },
              "coverage": {
                "complete_source_requests": true,
                "crossref_records": 1,
                "duplicate_or_version_records_merged": 1,
                "normalized_records": 2,
                "openalex_records": 1,
                "retracted_groups_excluded": 0
              },
              "mode": "topic",
              "ranking": "reciprocal_rank_fusion_k60; explicit identity/version groups; not a quality assessment",
              "results": [
                {
                  "doi": "10.5555/mekler.graph.1",
                  "id": "doi:10.5555/mekler.graph.1",
                  "is_retraction_notice": false,
                  "openalex_id": "W9999999901",
                  "retraction_status": "not_reported",
                  "source_records": [
                    {
                      "id": "W9999999901",
                      "rank": 1,
                      "source": "openalex"
                    },
                    {
                      "id": "10.5555/mekler.graph.1",
                      "rank": 1,
                      "source": "crossref"
                    }
                  ],
                  "sources": [
                    "crossref",
                    "openalex"
                  ],
                  "title": "Graph neural networks for synthetic benchmark data",
                  "type": "article",
                  "url": "https://doi.org/10.5555/mekler.graph.1",
                  "venue": "Synthetic Research Journal",
                  "versions": [],
                  "year": 2024
                }
              ],
              "retrieved_at": "2026-10-17T00:00:00+00:00",
              "returned": 1,
              "status": "ok",
              "warnings": [
                "Metadata coverage and retraction flags can be incomplete or stale. Absence of a flag is not clearance."
              ]
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "oneOf": [
                    {
                      "not": {
                        "required": [
                          "seed"
                        ]
                      },
                      "required": [
                        "query"
                      ]
                    },
                    {
                      "not": {
                        "required": [
                          "query"
                        ]
                      },
                      "required": [
                        "seed"
                      ]
                    }
                  ],
                  "properties": {
                    "from_year": {
                      "maximum": 2100,
                      "minimum": 1600,
                      "type": "integer"
                    },
                    "include_retracted": {
                      "default": false,
                      "type": "boolean"
                    },
                    "limit": {
                      "default": 10,
                      "maximum": 20,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "query": {
                      "maxLength": 240,
                      "minLength": 3,
                      "type": "string"
                    },
                    "request_id": {
                      "pattern": "^[a-zA-Z0-9_-]{16,64}$",
                      "type": "string"
                    },
                    "seed": {
                      "maxLength": 280,
                      "type": "string"
                    },
                    "to_year": {
                      "maximum": 2100,
                      "minimum": 1600,
                      "type": "integer"
                    }
                  },
                  "required": [
                    "request_id"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "additionalProperties": false,
                  "properties": {
                    "cost": {
                      "required": [
                        "source_attempts",
                        "openalex_list_price_usd",
                        "charged_supplier_usd"
                      ],
                      "type": "object"
                    },
                    "coverage": {
                      "type": "object"
                    },
                    "mode": {
                      "type": "string"
                    },
                    "ranking": {
                      "type": "string"
                    },
                    "results": {
                      "items": {
                        "required": [
                          "id",
                          "title",
                          "sources",
                          "source_records",
                          "retraction_status"
                        ],
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "retrieved_at": {
                      "type": "string"
                    },
                    "returned": {
                      "type": "integer"
                    },
                    "status": {
                      "type": "string"
                    },
                    "warnings": {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  },
                  "required": [
                    "status",
                    "retrieved_at",
                    "mode",
                    "results",
                    "returned",
                    "coverage",
                    "ranking",
                    "cost",
                    "warnings"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-19T18:33:59.159Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-19T18:33:58.758Z"
    },
    "resource": "https://api.mekler.ai/v1/research/papers/find-research-papers",
    "serviceName": "Mekler AI",
    "tags": [
      "Research",
      "Academic papers",
      "Literature search"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Academic paper search by topic or seed DOI/OpenAlex ID. Return ranked publication metadata with identifiers, source provenance, conservative duplicate/version grouping and reported retraction flags from OpenAlex and Crossref. Filter by publication year; retrieve up to 20 results. No abstracts, full text, author identities, exhaustive literature review or quality/retraction clearance."
}

What the leaf hashes

{"body":"f6806661c2eccb90ae8ac5baf40cf5f1b085aefd23062419a0928550ee5b2f31","id":67364,"kind":"listing","method":"baseline/1","observed_us":1793025462653134,"prev":null,"subject":"x402_bazaar:https://api.mekler.ai/v1/research/papers/find-research-papers","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. 0x6f9f88969c5fc8d63483e756cf68e82ccb4cc00c8c85019414339a6afa321f8e
  2. 0x00c4163e9e8125357ac4888b3d9b64511a2a741678f49812c9ca25e1ab1ae86c
  3. 0x1ed87b85b149502a838c007c33163495166e07d8e1a4bd86fa69dcb03751386f
  4. 0x1f002def9f345d2ab5e5aa9aa3baa59eb1358ca163d538836672d970fbd2c7b0
  5. 0xbb63af0f1b57be1459535d29256e92f80cd02a67ebc8a1f0bd45dd7154bfe38c
  6. 0xddceb77d233550414f6cbae4aa76b61ebcfefc55351d81e32a7d6a43bff70bf5
  7. 0xbf7ea28969a2e423a1479e33b846c253f7ca9aa7aef5a3e70813ee3827b3b9aa
  8. 0x301b4933457feb9b141f4b6dc9598f420736b852c6cb211153da518ff2d21478
  9. 0x2773a5a6e6f20769dca171f503ffeb524474c482023595e821f47e35181ac53b
  10. 0xc70d346129c156fcaba34294b762967bcbb4de7a74526ae0ff9df5eeef4e6d37
  11. 0x83da3d3b0ffc00454b09f0b6f54a0a4bb8b5fabd87854d6bb2d7abda681b5d72
  12. 0x5be1d69fd9353c3a75685caffea8c98e8f079f5072011c82517cc5f365ba32f8
  13. 0x14b83e3bc6587240f31cd033d09d131e0775b7b00aada9042597008a70399013
  14. 0xfc9b5a81a7a83a1c735a4fe64590beb9db14d2366f463161358af28c3ea9a81d
  15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
  16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
  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