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Evidence row 64168

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://agentsvc.io/api/v1/proxy/research-report
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
33898487acbb84c39661b1f7142e07e680e6ed3fd5f5584e7a1c2bc53e7bd285
Leaf
0xe60e1efd59761ff9d17782a5f4bddfd2293d01691ee8ce3f3da96921dcd5add2

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://agentsvc.io/api/v1/proxy/research-report"
    ]
  ],
  "name": "Cited Research Report",
  "owner_address": "0x622efa6ceb83a5b6edbc931332f4db68b7f74f27",
  "raw": {
    "accepts": [
      {
        "amount": "600000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "600000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
        "scheme": "exact"
      },
      {
        "amount": "600000",
        "asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      },
      {
        "amount": "600000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
        "scheme": "exact"
      }
    ],
    "description": "An AI-written Markdown report (about 500 to 900 words, 1200 to 1800 with length long) on a topic, company or token, built from Wikipedia, recent news, Hacker News, Bluesky and Lemmy discussions and, for kind company or token, our structured checks. Every claim cites a numbered source; the sources list is returned. Use for due diligence and briefings. kind: topic (default), company or token. language: en or de. Errors with Not charged when fewer than 2 relevant sources are found.",
    "extensions": {
      "bazaar": {
        "category": "text",
        "info": {
          "input": {
            "body": {
              "kind": "topic",
              "topic": "Aerodrome Finance"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": {},
              "success": true
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "chain": {
                      "type": "string"
                    },
                    "domain": {
                      "description": "company kind: domain",
                      "type": "string"
                    },
                    "kind": {
                      "description": "topic, company or token",
                      "type": "string"
                    },
                    "language": {
                      "description": "en or de",
                      "type": "string"
                    },
                    "length": {
                      "description": "standard or long",
                      "type": "string"
                    },
                    "token": {
                      "description": "token kind: contract address",
                      "type": "string"
                    },
                    "topic": {
                      "description": "What to research, or company name",
                      "type": "string"
                    }
                  },
                  "required": [
                    "topic"
                  ]
                },
                "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": {
                  "properties": {
                    "data": {
                      "properties": {
                        "model": {
                          "type": "string"
                        },
                        "report_markdown": {
                          "type": "string"
                        },
                        "sources": {
                          "type": "array"
                        },
                        "word_count": {
                          "type": "number"
                        }
                      },
                      "type": "object"
                    },
                    "success": {
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "success",
                    "data"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        },
        "tags": [
          "research",
          "report",
          "due-diligence",
          "citations",
          "summary",
          "llm"
        ]
      },
      "builder-code": {
        "info": {
          "a": "bc_q6wi3opd"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791462963/bazaar-icons/243ff0b79dbee242.png",
    "lastUpdated": "2026-10-22T11:23:13.014Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-22T11:23:12.753Z"
    },
    "resource": "https://agentsvc.io/api/v1/proxy/research-report",
    "serviceName": "Cited Research Report",
    "tags": [
      "research",
      "report",
      "due-diligence",
      "citations",
      "summary"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "An AI-written Markdown report (about 500 to 900 words, 1200 to 1800 with length long) on a topic, company or token, built from Wikipedia, recent news, Hacker News, Bluesky and Lemmy discussions and, for kind company or token, our structured checks. Every claim cites a numbered source; the sources list is returned. Use for due diligence and briefings. kind: topic (default), company or token. language: en or de. Errors with Not charged when fewer than 2 relevant sources are found."
}

What the leaf hashes

{"body":"33898487acbb84c39661b1f7142e07e680e6ed3fd5f5584e7a1c2bc53e7bd285","id":64168,"kind":"listing","method":"baseline/1","observed_us":1793025456121529,"prev":null,"subject":"x402_bazaar:https://agentsvc.io/api/v1/proxy/research-report","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. 0xe60e64e223e9421dd0d8e3b6978182d95b999af7acd1bad35cc752624b52f1b2
  2. 0x9900a36ef983dbab5ea4d92ebb6ae38efd6ab30fcb9b8bea2c908efaaf6537ce
  3. 0x91aa6fcc5e5bfebe67fc0ada9ff537fe785b9f0efc82ab8cfe36d26d16aa55ad
  4. 0x6eda9cfa40a7633212029a9ca89e1dd31a291c7a9385b27edc5e23b047264916
  5. 0xca8dc72694b0d27f836f283337985a5bdd6e3fc09cd7bb9eb9aba4a202a375bf
  6. 0x61e2397a23cca68ce87a12832d77ac5b3f1065830bd9cb75d915493027e2d537
  7. 0x80815c5b1ec1d6498d0cdacb452f257e31c045f2001c87e4876bfba6a2974866
  8. 0x0563ab524d8a0ef6b7794406c607a2c1b6e7a0f6a5664a81df5ac477412cb779
  9. 0xaa083f02d11d06ccada358549d810a0088f92c360d8c212291e48e24cb076edb
  10. 0x12b3e469f5bb537c324c91aec1f8a6197ee0ff6cc2c50c20bf3887cd5cd84ba6
  11. 0xe9a46d294851ae0e362ab741d0ad8768d3bfeeb15a9d9fcc78aae5128fc33835
  12. 0xb866b513dd861c870688f5d1a8e434b170eaa2fafb0961d6a674d452b8e58381
  13. 0xafcc1fe54cfe00a3a1de33df127340075f22433bb89848bbc81499cd7aca5b2b
  14. 0x9bc5fc98278b9f6dc18c66c6e162aefd5244be03170d41bc5161f58ad11beed7
  15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON